CN105427279A - Grassland drought status monitoring system based on and machine vision and Internet of things, grassland drought status monitoring method - Google Patents
Grassland drought status monitoring system based on and machine vision and Internet of things, grassland drought status monitoring method Download PDFInfo
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Abstract
The invention discloses a grassland drought status monitoring system based on computer vision and the Internet of things and a grassland drought status monitoring method. The system comprises an image acquisition unit, an Internet of things control unit, a communication unit and a computer vision processing unit, wherein the image acquisition unit and the communication unit are respectively in communication connection with the Internet of things control unit, the communication unit communicates with the computer vision processing unit through the network, the Internet of things control unit controls the image acquisition unit for acquiring images of plants from different angles, the images are transmitted through the communication unit to the computer vision processing unit, and the images acquired from different angles are analyzed and processed by the computer vision processing unit to acquire a drought status of the plants. Through the system and the method, the image processing speed and accuracy can be improved, under the common action of the Internet of things module and the computer vision module, grassland degradation and the drought status can be warned in advance, and thereby remote drought monitoring can be realized.
Description
Technical field
The present invention relates to a kind of grassland Drought Information Monitoring System based on computer vision and Internet of Things, belong to technical field of agricultural information.
Background technology
Along with economic development and the population expansion of the mankind, shortage of water resources phenomenon is on the rise, and directly results in Droughts.Drying trend has become the problem of global concern.Minimum in order to make people the disaster that arid is brought can be dropped to, the arriving of perception arid as early as possible and the water shortage status of plant necessary.
As shown in Figure 1, in prior art, a kind of vegetation growth state monitoring system based on computer vision and Internet of Things is had to detect the water shortage status of plant in vegetation growth state context of detection.Particularly, the related key technical of this system is: it comprises takes and the high-speed dsp (DigitalSignalProcessing gathering taken image and analyze plant leaf blade, digital signal processing) computer vision module, and send plant leaf blade information to Internet of Things module that remote terminal supplies staff's reference and operation by remote server.As shown in Figure 2, the job step that this system is concrete is: 1) industrial camera regularly takes the coloured image of the blade of plant to be monitored; 2) ccd image acquisition module sends DSP image processing module to after obtaining coloured image; 3) DSP image processing module detects the plant leaf blade in coloured image, if find plant hydropenia, notifies that controlling execution module waters to plant; The step that leaf color detects is 11) process of removal petiole is carried out to the plant leaf blade in coloured image; 12) coloured image by RGB color space conversion to hsv color space, setting H component and S component variation scope the two is divided equally; 13) create according to the data statistics of H plane and S plane the two-dimensional histogram that each dimension divides equally; 14) original color image is utilized two-dimensional histogram to be converted to the color 2 D histogram of the rgb space of blade; 15) set threshold value, by analyzing the flowers and trees blade in color 2 D histogram, determining plant and whether belonging to exsiccosis.
In prior art, detected the plant leaf blade in coloured image by DSP image processing module, whole optimizing process is comparatively large to artificial and time loss, limitations that the relative computer hardware system adopting dsp system unavoidable is more.Prior art have employed the classic method such as histogram analysis and mean filter, and it is fast that these class methods have speed, transplants the advantages such as easy, and these methods are comparatively simple, and accuracy is not high, and adaptation of methods is poor.
Summary of the invention
The technical problem to be solved in the present invention is: how simple and convenient detection grassland arid situation.
For realizing above-mentioned goal of the invention, the invention provides a kind of grassland Drought Information Monitoring System based on computer vision and Internet of Things and method.
On the one hand, the invention provides a kind of Drought Information Monitoring System based on computer vision and Internet of Things, comprise image acquisition units, Internet of Things control module, communication unit and computer vision processing unit;
Described image acquisition units, described communication unit communicate to connect with described Internet of Things control module respectively, and described communication unit is communicated with described computer vision processing unit by network;
The image that described Internet of Things control module controls described image acquisition units herborization different angles transfers to described computer vision processing unit by described communication unit; The image of described computer vision processing unit processes and the described different angles of analysis draws the arid situation of plant.
Alternatively, described image acquisition units comprises the CCD camera that three imaging angles are 130 °.
Alternatively, described communication unit is any one in GPRS communication module, 3G communication module, 4G communication module.
On the other hand, the invention provides a kind of Monitoring of drought method based on computer vision and Internet of Things, comprise the steps: the image of herborization different angles; Transmit the image of described plant different angles; Process and analyze the image of described different angles, and compare with the arid threshold value table preset, draw the arid situation of plant.
Alternatively, described process and the image analyzing described different angles draw the arid situation of plant, comprising:
Picture is converted to HSV passage picture;
Region, grassland is extracted to the V passage process in HSV passage picture;
Channel S in edges of regions and HSV passage picture is combined, extracts the grassland regions in channel S;
To the grassland regions binary conversion treatment extracted;
Black-and-white two color ratio is calculated to the image after binary conversion treatment, compares with the arid threshold value table preset, draw this period grassland damage caused by a drought situation.
Alternatively, the described V passage process in HSV passage picture also comprises the step of V passage picture being carried out to gaussian filtering before extracting region, grassland.
Alternatively, the described step to the V passage process extraction region, grassland in HSV passage picture comprises:
Utilize Roberts operator to carry out rim detection, utilize area size to coordinate upper and lower Logic judgment, remove chaff interference, extract edge, storage area behind region, grassland.
Alternatively, described default arid threshold value table processes the grassland picture of surveyed area Different periods and analyze to draw.
A kind of grassland Drought Information Monitoring System based on computer vision and Internet of Things provided by the invention and method, achieve long-range draught monitor by computer vision remote service unit, realize the free Design and implementation of algorithm flow and can operational efficiency be ensured.It is lower that the present invention develops the degree needing to optimize, and staff development cost is also lower, and whole system is easier to realize and moves scene.Speed and the accuracy rate of image procossing can be improved; Deterioration of grasslands and arid can give warning in advance by the acting in conjunction of Internet of Things module and computer vision module.
Accompanying drawing explanation
Fig. 1 is prior art vegetation growth state monitoring system structural representation;
Fig. 2 is detection system treatment scheme schematic diagram in Fig. 1;
Fig. 3 is Drought Information Monitoring System structural representation of the present invention;
Fig. 4 is Monitoring of drought method flow schematic diagram of the present invention;
Fig. 5 is process of the present invention and the image schematic flow sheet analyzing described different angles.
Embodiment
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail.Following examples for illustration of the present invention, but are not used for limiting the scope of the invention.
As shown in Figure 3, the invention provides a kind of Drought Information Monitoring System based on computer vision and Internet of Things, comprise image acquisition units, Internet of Things control module, communication unit and computer vision processing unit; Described image acquisition units, described communication unit communicate to connect with described Internet of Things control module respectively, and described communication unit is communicated with described computer vision processing unit by network; The image that described Internet of Things control module controls described image acquisition units herborization different angles transfers to described computer vision processing unit by described communication unit; The image of described computer vision processing unit processes and the described different angles of analysis draws the arid situation of plant.
In the present invention, image acquisition units is preferably the CCD camera that three imaging angles are 130 °.The image of grassland surveyed area different angles can be detected, the image within the scope of three different angles image formation Full vision by three CCD cameras.Described communication unit be preferably in GPRS communication module, 3G communication module, 4G communication module any one.Certainly can understand, if if there are other networks collecting unit, Internet of Things control module, communication unit region in the present invention, can also directly with other networks to computer vision processing unit transmitting image.
For embodying the superiority of a kind of Drought Information Monitoring System based on computer vision and Internet of Things provided by the invention further, the present invention also provides a kind of volume Monitoring of drought method being applied to said system, as shown in Figure 4, the method comprises the steps: the image of herborization different angles; Transmit the image of described plant different angles; Process and analyze the image of described different angles, and compare with the arid threshold value table preset, draw the arid situation of plant.Launch to describe in detail to the Monitoring of drought method based on computer vision and Internet of Things provided by the invention below.
As shown in Figure 5, described process and the image of analyzing described different angles show that the step of the arid situation of plant specifically comprises: picture is converted to HSV passage picture; Region, grassland is extracted to the V passage process in HSV passage picture; Channel S in edges of regions and HSV passage picture is combined, extracts the grassland regions in channel S; To the grassland regions binary conversion treatment extracted; Black-and-white two color ratio is calculated to the image after binary conversion treatment, compares with the arid threshold value table preset, draw this period grassland damage caused by a drought situation.
First, introduce and picture is converted to HSV passage picture.
By the image of three different angles received, be converted to HSV passage picture.HSV passage picture after conversion is extracted channel S picture and V passage picture, gaussian filtering is carried out to V passage, remove noise and be convenient to rim detection.
Secondly, introduce the V passage process extraction region, grassland in HSV passage picture.
Again, the channel S in edges of regions and HSV passage picture is combined, extract the grassland regions in channel S.
Particularly, preferably utilize Roberts operator to carry out rim detection to V passage, utilize area size to coordinate upper and lower Logic judgment, remove the chaff interferences such as sky, road, animal, extract edge, storage area behind region, grassland.
In piece image, the edge of scenery always occurs with the mutant form of intensity in image, so scenery edge contains a large amount of information.Edge due to scenery has very complicated form, and therefore, the most frequently used edge detection method is gradient detection, specifically such as formula shown in (1) and formula (2).
Wherein, f (x, y) is gradation of image distribution function; S (x, y) is the Grad of image border;
it is the direction of gradient; N be constant (n=1,2 ...).
Through type (1) and formula (2) can obtain the gradient magnitude of image at (x, y) some place and gradient direction.
Formula (1) and formula (2) are rewritten as formula (3):
Wherein, g (x, y) is called Roberts edge detection operator, and f (x, y) represents gradation of image distribution function.
Formula makes this process be similar to the generating process of human visual system to the square root calculation of f (x, y) etc. in (3).In fact Roberts edge detection operator is a kind of operator utilizing local difference method to find edge, the difference that what Robert gradient operator adopted is to adjacent two pixel values in angular direction, so replace single order local derviation by difference, operational form can represent such as formula shown in (4):
Wherein, △
xrepresent the single order local derviation to x, △
yrepresent the single order local derviation to y, f (x, y) represents image intensity value.
In practical application, each pixel formula (4) in image carries out convolution algorithm, for avoiding occurring negative value, often extracts its absolute value in rim detection.
4th, introduce the grassland regions binary conversion treatment to extracting.
Finally, introduce the image after to binary conversion treatment and calculate black-and-white two color ratio, compare with the arid threshold value table preset, draw this period grassland damage caused by a drought situation.
Because the vegetation and soil discrimination in channel S is obvious, by calculating black-and-white two color ratio in binary image, comparing with the arid threshold value table preset, drawing this period grassland damage caused by a drought situation.In the present invention, threshold value table need carry out said method process to the grassland picture of surveyed area Different periods and manual analysis draws.
In sum, a kind of grassland Drought Information Monitoring System based on computer vision and Internet of Things provided by the invention and method, achieve long-range draught monitor by computer vision remote service unit, realize the free Design and implementation of algorithm flow and can operational efficiency be ensured.It is lower that the present invention develops the degree needing to optimize, and staff development cost is also lower, and whole system is easier to realize and moves scene.Speed and the accuracy rate of image procossing can be improved; Deterioration of grasslands and arid can give warning in advance by the acting in conjunction of Internet of Things module and computer vision module.
Above embodiment is only for illustration of the present invention; and be not limitation of the present invention; the those of ordinary skill of relevant technical field; without departing from the spirit and scope of the present invention; can also make a variety of changes and modification; therefore all equivalent technical schemes also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.
Claims (8)
1., based on a Drought Information Monitoring System for computer vision and Internet of Things, it is characterized in that, comprise image acquisition units, Internet of Things control module, communication unit and computer vision processing unit;
Described image acquisition units, described communication unit communicate to connect with described Internet of Things control module respectively, and described communication unit is communicated with described computer vision processing unit by network;
The image that described Internet of Things control module controls described image acquisition units herborization different angles transfers to described computer vision processing unit by described communication unit; The image of described computer vision processing unit processes and the described different angles of analysis draws the arid situation of plant.
2. system according to claim 1, is characterized in that, described image acquisition units comprises the CCD camera that three imaging angles are 130 °.
3. system according to claim 1, is characterized in that, described communication unit is any one in GPRS communication module, 3G communication module, 4G communication module.
4., based on a Monitoring of drought method for computer vision and Internet of Things, it is characterized in that, comprise the steps:
The image of herborization different angles;
Transmit the image of described plant different angles;
Process and analyze the image of described different angles, and compare with the arid threshold value table preset, draw the arid situation of plant.
5. method according to claim 4, is characterized in that, described process and the image analyzing described different angles draw the arid situation of plant, comprising:
Picture is converted to HSV passage picture;
Region, grassland is extracted to the V passage process in HSV passage picture;
Channel S in edges of regions and HSV passage picture is combined, extracts the grassland regions in channel S;
To the grassland regions binary conversion treatment extracted;
Black-and-white two color ratio is calculated to the image after binary conversion treatment, compares with the arid threshold value table preset, draw this period grassland damage caused by a drought situation.
6. method according to claim 5, is characterized in that, the described V passage process in HSV passage picture also comprises the step of V passage picture being carried out to gaussian filtering before extracting region, grassland.
7. method according to claim 5, is characterized in that, the described step to the V passage process extraction region, grassland in HSV passage picture comprises:
Utilize Roberts operator to carry out rim detection, utilize area size to coordinate upper and lower Logic judgment, remove chaff interference, extract edge, storage area behind region, grassland.
8. method according to claim 5, is characterized in that, described default arid threshold value table processes the grassland picture of surveyed area Different periods and analyze to draw.
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Cited By (5)
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