CN113616945A - Detection method based on focused ultrasound image identification and beauty and body care device - Google Patents
Detection method based on focused ultrasound image identification and beauty and body care device Download PDFInfo
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Abstract
The invention provides a detection method based on focused ultrasound image identification and a beauty treatment and body care device, wherein the detection method comprises the following steps: scanning by using an ultrasonic probe to obtain an image group of human skin in real time, wherein the image group comprises a plurality of frames of images; calculating the cross correlation between every two adjacent frames of images; identifying a Region of interest (ROI) from the image group based on the cross correlation between every two adjacent frames of images, wherein the ROI Region is caused by incomplete fitting of the ultrasonic probe and the skin; and acquiring the scanning time corresponding to the target ROI area, and controlling the ultrasonic probe to stop outputting energy to the skin of the human body at the scanning time. The invention has an effective safety control mechanism aiming at the scald and blistering phenomenon of the superficial skin easily caused by the anti-aging of the skin by the existing focused ultrasound technology product.
Description
Technical Field
The invention relates to the field of image processing, in particular to a detection method based on focused ultrasound image identification and a beauty treatment and body care device.
Background
Along with the increasing living standard of people, the aesthetic appeal of the public is more and more embodied and generalized; wherein, the appeal of vast beauty-seeking people on the aspects of removing wrinkles and resisting aging of the skin is increased day by day, and the strong market growth trend is presented;
the anti-aging products acting on human skin based on different technical principles are various, wherein the anti-aging products based on the focused ultrasound principle gradually enter the public visual field due to the characteristics and the advancement of the technical principle of the anti-aging products and are sought for the market;
at present, more and more clinical application cases show that the scald and blister phenomena of superficial skin are easily caused when the existing focused ultrasound technology product acts on the skin for resisting aging, and an effective safety control mechanism is lacked; not only weakens the wrinkle-removing and anti-aging effects, but also has the initial purpose of no postoperative recovery period pursued by non-invasive medical cosmetology; but also seriously affects the customer experience and brings unnecessary skin damage and subsequent repair cost.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a detection method based on focused ultrasound image identification and a beauty treatment and body care device.
According to a first aspect of the present invention, there is provided a focused ultrasound based cosmetic inspection method comprising: scanning and acquiring an image group of human skin by using an ultrasonic probe, wherein the image group comprises a plurality of frames of images; calculating the cross correlation between every two adjacent frames of images; identifying a target ROI area from the image group based on the cross correlation between every two adjacent frames of images, wherein the target ROI area is caused by incomplete fit of an ultrasonic probe and skin; and acquiring the scanning time corresponding to the target ROI area, and controlling the ultrasonic probe to stop outputting energy to the skin of the human body at the scanning time.
On the basis of the technical scheme, the invention can be improved as follows.
Optionally, the scanning with the ultrasonic probe to obtain the image group of the human skin includes a plurality of frame images, including: repeatedly scanning the human skin between fixed point positions by utilizing a linear straight line of a focusing single-array element ultrasonic probe to obtain an image group obtained by scanning; and for the multi-frame images in the image group, sequencing the multi-frame images according to the travel path of the ultrasonic probe, and recording and storing the multi-frame images.
Optionally, the calculating the cross-correlation between each two adjacent frame images previously includes: and preprocessing each frame image in the image group, wherein the preprocessing comprises noise reduction processing and masking signal-to-noise ratio filtering processing.
Optionally, the calculating the cross-correlation between each two adjacent frame images includes: for each frame of image in the preprocessed image group, performing frequency spectrum transformation through Hilbert transformation to obtain an envelope curve of the image; and calculating the cross-correlation value between the two frames of images based on the envelope curve of every two adjacent frames of images and a line-by-line convolution method.
Optionally, the identifying a target ROI region from the image group based on the cross-correlation between every two adjacent frames of images, where the target ROI region is a region where the ultrasound probe is not completely attached to the skin and is caused by the ultrasound probe not completely attached to the skin, includes: and judging the size between the cross-correlation value between every two adjacent frames of images and a set threshold, marking the target ROI area corresponding to the two adjacent frames of images when the cross-correlation value between the two adjacent frames of images is smaller than the set threshold, and recording the related scanning time.
Optionally, the calculating the cross-correlation between each two adjacent frame images includes: extracting first multi-frame images from all images of the image group as an image subsequence according to a set interval, and calculating a cross-correlation value of every two adjacent frames of images in the image subsequence; correspondingly, a target ROI area is identified from the image group based on the cross-correlation between every two adjacent frames of images, wherein the target ROI area is caused by the incomplete fit of the ultrasonic probe and the skin, and the method comprises the following steps: when the cross correlation value between two adjacent frames of images is smaller than a set threshold value, recording the serial numbers of the two adjacent frames of images in the image group, and acquiring a second multi-frame image between the two adjacent frames of images in the image group; calculating a cross-correlation value between every two adjacent frames of images in the second multi-frame image; and when the cross-correlation value between two adjacent frames of images is smaller than a set threshold value, acquiring a target ROI (region of interest) corresponding to the two adjacent frames of images, and recording the scanning time of the two adjacent frames of images.
According to a second aspect of the present invention, there is provided a beauty treatment device based on focused ultrasound image identification, comprising an ultrasound probe, a main control module and a power module; the ultrasonic probe is used for scanning and acquiring an image group of human skin, and the image group comprises a plurality of frames of images; the main control module is used for calculating the cross correlation between every two adjacent frames of images; identifying a target ROI area from the image group based on the cross correlation between every two adjacent frames of images, wherein the target ROI area is caused by incomplete fit of an ultrasonic probe and skin; and the power module is also used for acquiring the scanning time corresponding to the target ROI area, and controlling the power module to stop outputting energy to the skin of the human body through the ultrasonic probe at the scanning time.
Optionally, the main control module is configured to calculate a cross-correlation between each two adjacent frames of images, and includes: for each frame of image in the image group, performing frequency spectrum transformation through Hilbert transformation to obtain an envelope curve of the image; and calculating the cross-correlation value between the two frames of images based on the envelope curve of every two adjacent frames of images and a line-by-line convolution method.
Optionally, the main control module identifies a target ROI region from the image group based on a cross-correlation between each two adjacent frames of images, where the target ROI region is caused by incomplete fitting of the ultrasound probe to the skin, and the method includes: and judging the size between the cross-correlation value between every two adjacent frames of images and a set threshold, and when the cross-correlation value between every two adjacent frames of images is smaller than the set threshold, acquiring the target ROI area corresponding to the two adjacent frames of images and acquiring the scanning time of the two adjacent frames of images.
According to the cosmetic detection method and the cosmetic detection device based on the focused ultrasound, the part possibly scalded and the moment are analyzed by analyzing the image scanned by the ultrasonic probe, the ultrasonic probe is controlled to stop scanning the skin of the human body from the moment, the skin is prevented from being damaged in the cosmetic process, and a good safety control mechanism is provided.
Drawings
FIG. 1 is a flow chart of a method for cosmetic inspection based on focused ultrasound according to the present invention;
FIG. 2 is a flow chart of cross-correlation calculation for two frame images;
fig. 3 is a schematic structural diagram of an ultrasonic cosmetic inspection system provided by the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Fig. 1 is a flowchart of a cosmetic inspection method based on focused ultrasound according to the present invention, as shown in fig. 1, the method includes: 101. scanning and acquiring an image group of human skin by using an ultrasonic probe, wherein the image group comprises a plurality of frames of images; 102. calculating the cross correlation between every two adjacent frames of images; 103. identifying a target ROI area from the image group based on the cross correlation between every two adjacent frames of images, wherein the target ROI area is caused by incomplete fit of an ultrasonic probe and skin; 104. and acquiring the scanning time corresponding to the target ROI area, and controlling the ultrasonic probe to stop outputting energy to the skin of the human body at the scanning time.
It can be understood that, based on the defects in the background art, the embodiment of the invention provides a method for detecting the position and the time when a scald may occur in the skin anti-aging and beautifying process so as to avoid the scald.
In the skin anti-aging and beautifying process, the skin of each part of a human body is scanned by using an ultrasonic probe, a scanned image group is obtained, the cross correlation between every two adjacent images of a plurality of frames in the image group can be calculated, and a target ROI area in the image group is identified according to the cross correlation, wherein the target ROI area is an area where the ultrasonic probe is not completely attached to the skin of the human body, and the parts can be scalded.
It should be noted that, when the ultrasound probe scans normally, the scanned images are very clear, and now, a region without ultrasound echo information needs to be identified from the scanned images, and this region is a target ROI region, and the skin of the human body corresponding to this region may be scalded.
And after the target ROI area is identified, acquiring the scanning time corresponding to the target ROI area, and controlling the ultrasonic probe to stop scanning the skin of the human body from the scanning time.
According to the embodiment of the invention, the part possibly scalded and the moment are analyzed by analyzing the image scanned by the ultrasonic probe, and the ultrasonic probe is controlled to stop scanning the skin of the human body from the moment, so that the skin is prevented from being damaged in the cosmetic process, and a good safety control mechanism is provided.
In a possible embodiment mode, scanning by using an ultrasonic probe to acquire an image group of human skin, wherein the image group comprises a plurality of frames of images and comprises the following steps: repeatedly scanning the human skin between fixed point positions by utilizing a linear straight line of a focusing single-array element ultrasonic probe to obtain an image group obtained by scanning; and for the multi-frame images in the image group, sequencing the multi-frame images according to the travel path of the ultrasonic probe, and recording and storing the multi-frame images.
Human skin can be understood that, when the ultrasound probe scans the human skin, the scanning path of the ultrasound probe is a straight line, and the scanning is performed repeatedly, for example, scanning from a point a to a point B of the human skin, the ultrasound probe performs repeated scanning between the point a and the point B to obtain a group of images, which is called an image group, where multiple frames of images in the image group are sorted according to the travel path of the ultrasound probe, and in addition, the scanning time when the ultrasound probe scans each frame of image is recorded.
Here, it should be noted that, for all images scanned by the ultrasound probe, an unclear image with a low resolution is removed, and an image with a high resolution is retained.
In a possible embodiment, the cross-correlation between each two adjacent images is calculated, and the method includes the following steps: and preprocessing each frame image in the image group, wherein the preprocessing comprises noise reduction processing and masking signal-to-noise ratio filtering processing.
Specifically, for each frame image in the image group, a masking method is applied to perform noise reduction preprocessing.
In a possible embodiment, the calculating the cross-correlation between each two adjacent images includes: for each frame of image in the preprocessed image group, performing frequency spectrum transformation through Hilbert transformation to obtain an envelope curve of the image; and calculating the cross-correlation value between the two frames of images based on the envelope curve of every two adjacent frames of images and a line-by-line convolution method.
It can be understood that, for each frame of image after being preprocessed in the image group, the cross correlation between each two adjacent frames of images is calculated, as shown in fig. 2, for two adjacent frames of images, for example, the ith frame of image and the (i +1) th frame of image, the envelope of each frame of image is obtained by performing spectral transformation through hilbert transform, and the cross correlation between the adjacent frames of images is calculated by using a line-by-line convolution method, so as to obtain the correlation value between the two adjacent frames of images.
In a possible embodiment, identifying a target ROI region from the image group based on the cross-correlation between every two adjacent images, the target ROI region being caused by the incomplete fitting of the ultrasound probe to the skin, includes: and judging the size between the cross-correlation value between every two adjacent frames of images and a set threshold, marking the target ROI area corresponding to the two adjacent frames of images when the cross-correlation value between the two adjacent frames of images is smaller than the set threshold, and recording the related scanning time.
Specifically, the cross correlation value between each two adjacent frames of images is obtained through calculation in the above steps, and the target ROI area is identified according to the cross correlation value between each two adjacent frames of images. And judging the size between the cross-correlation value between every two adjacent frames of images and a set threshold, and taking the two frames of images as the target ROI area when the cross-correlation value between the two adjacent frames of images is smaller than the set threshold. For example, the correlation value between the 1 st frame and the 2 nd frame, the 2 nd frame and the 3 rd frame, and the 3 rd frame and the 4 th frame is greater than the set threshold, and the cross-correlation value between the mth frame and the (m +1) th frame is less than the set threshold, then the mth frame and the (m +1) th frame are the target ROI region, the mth frame and the (m +1) th frame are acquired, and the scanning time when the ultrasound probe scans the mth frame and the (m +1) th frame is acquired.
In a possible embodiment, the calculating the correlation between each two adjacent frames of images includes: extracting first multi-frame images from all images of the image group as an image subsequence according to a set interval, and calculating a cross-correlation value of every two adjacent frames of images in the image subsequence; correspondingly, a target ROI area is identified from the image group based on the cross-correlation between every two adjacent frames of images, wherein the target ROI area is caused by the fact that the ultrasonic probe is not completely attached to the skin, and the method comprises the following steps: when the cross correlation value between two adjacent frames of images is smaller than a set threshold value, recording the serial numbers of the two adjacent frames of images in the image group, and acquiring a second multi-frame image between the two adjacent frames of images in the image group; calculating a cross-correlation value between every two adjacent frames of images in the second multi-frame image; and when the cross-correlation value between two adjacent frames of images is smaller than a set threshold value, acquiring a target ROI (region of interest) corresponding to the two adjacent frames of images, and recording the scanning time of the two adjacent frames of images.
It can be understood that, in order to improve the efficiency of identifying the target ROI, when identifying the target ROI, multiple frames of images, called image subsequences, can be extracted at certain intervals for all images obtained by scanning the ultrasound probe. For example, one frame of image is sampled every two frames, for example, the 1 st frame, the 4 th frame, the 7 th frame are extracted from the image group, and so on, and the multi-frame images are sampled to form the image sub-sequence.
For the images in the image subsequence, calculating a correlation value between every two adjacent frames of images, similarly, judging whether the correlation value between every two adjacent frames of images is larger than a set threshold, acquiring the two adjacent frames of images of which the correlation value is smaller than the set threshold, and recording the sequence number positions of the two frames of images in the original image group, for example, the sequence numbers of the two frames of images in the original image group are the nth frame and the (n + p) th frame, which indicates that the target ROI area is between the nth frame and the (n + p) th frame.
At this time, a total of (p +1) frame images from the n-th frame to the (n + p) -th frame in the original image group are acquired, and for the (p +1) frame images, a correlation value between every two adjacent frame images is calculated, and similarly, two adjacent frame images having a correlation value smaller than a set threshold value are acquired as the ROI region. Therefore, the target ROI is screened in a large range firstly and then screened in a small range, and the identification efficiency of the target ROI is improved.
Two frames of images corresponding to the target ROI area are identified, human skin parts corresponding to the two frames of images are possibly scalded, scanning time corresponding to the two frames of images is obtained, and the ultrasonic probe is controlled to stop outputting energy to the human skin from the scanning time so as to avoid the scalding problem.
Fig. 3 is a structural diagram of a cosmetic inspection device based on focused ultrasound according to an embodiment of the present invention, which mainly includes an ultrasound probe 31, a main control module 32 and a power module 33, wherein,
the ultrasonic probe 31 is used for scanning and acquiring an image group of human skin, wherein the image group comprises a plurality of frames of images; the main control module 32 is used for calculating the cross correlation between every two adjacent frames of images; identifying a target ROI area from the image group based on the cross-correlation between every two adjacent frames of images, wherein the target ROI area is caused by the fact that the ultrasonic probe 31 is not completely attached to the skin; and is further configured to acquire a scanning time corresponding to the target ROI area, and control the power module 33 to stop outputting energy to the skin of the human body through the ultrasound probe 31 at the scanning time.
The main control module 32 is configured to calculate a cross correlation between each two adjacent frames of images, and includes: for each frame of image in the image group, performing frequency spectrum transformation through Hilbert transformation to obtain an envelope curve of the image; and calculating the cross-correlation value between the two frames of images based on the envelope curve of every two adjacent frames of images and a line-by-line convolution method.
The main control module 32 identifies a target ROI region from the image group based on the cross-correlation between each two adjacent frames of images, where the target ROI region is caused by the ultrasound probe 31 not completely fitting to the skin, and includes: and judging the size between the cross-correlation value between every two adjacent frames of images and a set threshold, and when the cross-correlation value between every two adjacent frames of images is smaller than the set threshold, acquiring the target ROI area corresponding to the two adjacent frames of images and acquiring the scanning time of the two adjacent frames of images.
It can be understood that, the method for implementing the cosmetic detection by using the cosmetic detection device based on focused ultrasound provided by the present invention may refer to the related technical features of the ultrasound cosmetic method provided by the above embodiments, and will not be described herein again.
According to the detection method based on focused ultrasound image identification and the beauty treatment and body care device provided by the embodiment of the invention, the part and moment which are possibly scalded are analyzed by analyzing the image scanned by the ultrasonic probe, and the ultrasonic probe is controlled to stop scanning the skin of a human body from the moment, so that the skin is prevented from being damaged in the beauty treatment process, and a good safety control mechanism is provided.
It should be noted that, in the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to relevant descriptions of other embodiments for parts that are not described in detail in a certain embodiment.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A detection method based on focused ultrasound image identification is characterized by comprising the following steps:
scanning and acquiring an image group of human skin by using an ultrasonic probe, wherein the image group comprises a plurality of frames of images;
calculating the cross correlation between every two adjacent frames of images;
identifying a target ROI area from the image group based on the cross correlation between every two adjacent frames of images, wherein the target ROI area is caused by incomplete fit of an ultrasonic probe and skin;
and acquiring the scanning time corresponding to the target ROI area, and controlling the ultrasonic probe to stop outputting energy to the skin of the human body at the scanning time.
2. The detection method based on focused ultrasound image recognition according to claim 1, wherein the scanning with the ultrasound probe obtains a group of images of human skin, the group of images including multi-frame images, including:
repeatedly scanning the human skin between fixed point positions by utilizing a linear straight line of a focusing single-array element ultrasonic probe to obtain an image group obtained by scanning;
and for the multi-frame images in the image group, sequencing the multi-frame images according to the travel path of the ultrasonic probe, and recording and storing the multi-frame images.
3. The method for detecting according to claim 1 or 2, wherein said calculating the cross-correlation between each two adjacent frames of images comprises: and preprocessing each frame image in the image group, wherein the preprocessing comprises noise reduction processing and masking signal-to-noise ratio filtering processing.
4. The detection method based on focused ultrasound image identification according to claim 3, wherein the calculating the cross-correlation between each two adjacent frames of images comprises:
for each frame of image in the preprocessed image group, performing frequency spectrum transformation through Hilbert transformation to obtain an envelope curve of the image;
and calculating the cross-correlation value between the two frames of images based on the envelope curve of every two adjacent frames of images and a line-by-line convolution method.
5. The detection method based on focused ultrasound image identification according to claim 4, wherein the identifying a target ROI area from the image group based on the cross-correlation between every two adjacent frame images, the target ROI area being caused by incomplete fit of an ultrasound probe with skin, comprises:
and judging the size between the cross-correlation value between every two adjacent frames of images and a set threshold, marking the target ROI area corresponding to the two adjacent frames of images when the cross-correlation value between the two adjacent frames of images is smaller than the set threshold, and recording the related scanning time.
6. The detection method based on focused ultrasound image identification according to claim 1, wherein the calculating the cross-correlation between each two adjacent frames of images comprises:
extracting first multi-frame images from all images of the image group as an image subsequence according to a set interval, and calculating a cross-correlation value of every two adjacent frames of images in the image subsequence;
correspondingly, a target ROI area is identified from the image group based on the cross-correlation between every two adjacent frames of images, wherein the target ROI area is caused by incomplete fit of the ultrasonic probe and the skin, and the method comprises the following steps:
when the cross correlation value between two adjacent frames of images is smaller than a set threshold value, recording the serial numbers of the two adjacent frames of images in the image group, and acquiring a second multi-frame image between the two adjacent frames of images in the image group;
calculating a cross-correlation value between every two adjacent frames of images in the second multi-frame image;
and when the cross-correlation value between two adjacent frames of images is smaller than a set threshold value, acquiring a target ROI (region of interest) corresponding to the two adjacent frames of images, and recording the scanning time of the two adjacent frames of images.
7. A beauty treatment and body beautification device based on focused ultrasound image identification is characterized by comprising an ultrasonic probe, a main control module and a power module;
the ultrasonic probe is used for scanning and acquiring an image group of human skin, and the image group comprises a plurality of frames of images;
the main control module is used for calculating the cross correlation between every two adjacent frames of images; identifying a target ROI area from the image group based on the cross correlation between every two adjacent frames of images, wherein the target ROI area is caused by incomplete fit of an ultrasonic probe and skin; and the power module is also used for acquiring the scanning time corresponding to the target ROI area, and controlling the power module to stop outputting energy to the skin of the human body through the ultrasonic probe at the scanning time.
8. The apparatus of claim 7, wherein the main control module is configured to calculate the cross-correlation between two adjacent frames of images, and comprises:
for each frame of image in the image group, performing frequency spectrum transformation through Hilbert transformation to obtain an envelope curve of the image;
and calculating the cross-correlation value between the two frames of images based on the envelope curve of every two adjacent frames of images and a line-by-line convolution method.
9. The apparatus of claim 8, wherein the main control module identifies a target ROI area from the image group based on the cross-correlation between every two adjacent images, the target ROI area is caused by incomplete fit between the ultrasound probe and the skin, and the apparatus comprises:
and judging the size between the cross-correlation value between every two adjacent frames of images and a set threshold, and when the cross-correlation value between every two adjacent frames of images is smaller than the set threshold, acquiring the target ROI area corresponding to the two adjacent frames of images and acquiring the scanning time of the two adjacent frames of images.
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| CN116502019A (en) * | 2023-04-27 | 2023-07-28 | 广东花至美容科技有限公司 | Skin collagen protein lifting rate calculation method, storage medium and electronic equipment |
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