CN111507970B - Image fusion quality detection method and device - Google Patents
Image fusion quality detection method and device Download PDFInfo
- Publication number
- CN111507970B CN111507970B CN202010311554.9A CN202010311554A CN111507970B CN 111507970 B CN111507970 B CN 111507970B CN 202010311554 A CN202010311554 A CN 202010311554A CN 111507970 B CN111507970 B CN 111507970B
- Authority
- CN
- China
- Prior art keywords
- image
- fusion
- fused
- wavelet
- coefficient
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000004927 fusion Effects 0.000 title claims abstract description 149
- 238000001514 detection method Methods 0.000 title claims abstract description 31
- 238000007500 overflow downdraw method Methods 0.000 claims abstract description 51
- 238000000034 method Methods 0.000 claims abstract description 29
- 230000009466 transformation Effects 0.000 claims description 34
- 238000001914 filtration Methods 0.000 claims description 15
- 238000000354 decomposition reaction Methods 0.000 claims description 12
- 230000000007 visual effect Effects 0.000 claims description 12
- 230000011218 segmentation Effects 0.000 claims description 9
- 238000007781 pre-processing Methods 0.000 claims description 7
- 238000013527 convolutional neural network Methods 0.000 claims description 6
- 238000011176 pooling Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 3
- 238000009499 grossing Methods 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/047—Probabilistic or stochastic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20064—Wavelet transform [DWT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20076—Probabilistic image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Biophysics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Quality & Reliability (AREA)
- Probability & Statistics with Applications (AREA)
- Image Analysis (AREA)
Abstract
Description
Claims (8)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010311554.9A CN111507970B (en) | 2020-04-20 | 2020-04-20 | Image fusion quality detection method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010311554.9A CN111507970B (en) | 2020-04-20 | 2020-04-20 | Image fusion quality detection method and device |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111507970A CN111507970A (en) | 2020-08-07 |
CN111507970B true CN111507970B (en) | 2022-01-11 |
Family
ID=71869729
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010311554.9A Active CN111507970B (en) | 2020-04-20 | 2020-04-20 | Image fusion quality detection method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111507970B (en) |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102208103A (en) * | 2011-04-08 | 2011-10-05 | 东南大学 | Method of image rapid fusion and evaluation |
CN103745203A (en) * | 2014-01-15 | 2014-04-23 | 南京理工大学 | Visual attention and mean shift-based target detection and tracking method |
CN105761214A (en) * | 2016-01-14 | 2016-07-13 | 西安电子科技大学 | Remote sensing image fusion method based on contourlet transform and guided filter |
CN106649487A (en) * | 2016-10-09 | 2017-05-10 | 苏州大学 | Image retrieval method based on interest target |
CN106897999A (en) * | 2017-02-27 | 2017-06-27 | 江南大学 | Apple image fusion method based on Scale invariant features transform |
CN107330854A (en) * | 2017-06-15 | 2017-11-07 | 武汉大学 | A kind of image super-resolution Enhancement Method based on new type formwork |
CN107680054A (en) * | 2017-09-26 | 2018-02-09 | 长春理工大学 | Multisource image anastomosing method under haze environment |
CN108564088A (en) * | 2018-04-17 | 2018-09-21 | 广东工业大学 | Licence plate recognition method, device, equipment and readable storage medium storing program for executing |
-
2020
- 2020-04-20 CN CN202010311554.9A patent/CN111507970B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102208103A (en) * | 2011-04-08 | 2011-10-05 | 东南大学 | Method of image rapid fusion and evaluation |
CN103745203A (en) * | 2014-01-15 | 2014-04-23 | 南京理工大学 | Visual attention and mean shift-based target detection and tracking method |
CN105761214A (en) * | 2016-01-14 | 2016-07-13 | 西安电子科技大学 | Remote sensing image fusion method based on contourlet transform and guided filter |
CN106649487A (en) * | 2016-10-09 | 2017-05-10 | 苏州大学 | Image retrieval method based on interest target |
CN106897999A (en) * | 2017-02-27 | 2017-06-27 | 江南大学 | Apple image fusion method based on Scale invariant features transform |
CN107330854A (en) * | 2017-06-15 | 2017-11-07 | 武汉大学 | A kind of image super-resolution Enhancement Method based on new type formwork |
CN107680054A (en) * | 2017-09-26 | 2018-02-09 | 长春理工大学 | Multisource image anastomosing method under haze environment |
CN108564088A (en) * | 2018-04-17 | 2018-09-21 | 广东工业大学 | Licence plate recognition method, device, equipment and readable storage medium storing program for executing |
Also Published As
Publication number | Publication date |
---|---|
CN111507970A (en) | 2020-08-07 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104680508B (en) | Convolutional neural networks and the target object detection method based on convolutional neural networks | |
CN103886589B (en) | Object-oriented automated high-precision edge extracting method | |
CN112819772B (en) | High-precision rapid pattern detection and recognition method | |
Kamencay et al. | Improved Depth Map Estimation from Stereo Images Based on Hybrid Method. | |
CN101794439B (en) | Image splicing method based on edge classification information | |
CN110929593A (en) | Real-time significance pedestrian detection method based on detail distinguishing and distinguishing | |
CN111160291B (en) | Human eye detection method based on depth information and CNN | |
CN104504395A (en) | Method and system for achieving classification of pedestrians and vehicles based on neural network | |
CN112396036A (en) | Method for re-identifying blocked pedestrians by combining space transformation network and multi-scale feature extraction | |
CN111507968B (en) | Image fusion quality detection method and device | |
Choudhary et al. | Enhancement in morphological mean filter for image denoising using glcm algorithm | |
CN116311212B (en) | Ship number identification method and device based on high-speed camera and in motion state | |
Favorskaya et al. | Intelligent inpainting system for texture reconstruction in videos with text removal | |
CN111507970B (en) | Image fusion quality detection method and device | |
Widynski et al. | A contrario edge detection with edgelets | |
CN111507969B (en) | Image fusion quality detection method and device | |
Scharfenberger et al. | Image saliency detection via multi-scale statistical non-redundancy modeling | |
Varkonyi-Koczy | Fuzzy logic supported corner detection | |
Zeng et al. | A new texture feature based on PCA pattern maps and its application to image retrieval | |
Swarnalatha et al. | A centroid model for the depth assessment of images using rough fuzzy set techniques | |
Lyasheva et al. | Application of image weight models to increase canny contour detector resilience to interference | |
Liu | Restoration method of motion blurred image based on feature fusion and particle swarm optimization algorithm | |
Punia et al. | Automatic detection of liver in CT images using optimal feature based neural network | |
Lyasheva et al. | Image Borders Detection Based on the Weight Model Analysis and the Morphological Gradient Operation | |
CN110992285B (en) | Image defogging method based on hierarchical neural network |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB03 | Change of inventor or designer information |
Inventor after: Yuan Guiquan Inventor after: Qian Yifan Inventor after: Zhu Dong Inventor after: Yang Yi Inventor before: Yuan Guiquan Inventor before: Qian Yifan |
|
CB03 | Change of inventor or designer information | ||
TA01 | Transfer of patent application right | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20211223 Address after: 401122 No. 21-1, building 7, No. 2, Huizhu Road, Yubei District, Chongqing Applicant after: Chongqing QiTeng Technology Co.,Ltd. Address before: 102400 no.18-d11961, Jianshe Road, Kaixuan street, Liangxiang, Fangshan District, Beijing Applicant before: Beijing yingmaiqi Technology Co.,Ltd. |
|
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CP01 | Change in the name or title of a patent holder |
Address after: 401122 No. 21-1, building 7, No. 2, Huizhu Road, Yubei District, Chongqing Patentee after: Seven Teng Robot Co.,Ltd. Address before: 401122 No. 21-1, building 7, No. 2, Huizhu Road, Yubei District, Chongqing Patentee before: Chongqing QiTeng Technology Co.,Ltd. |
|
CP01 | Change in the name or title of a patent holder | ||
PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A Method and Device for Detecting Image Fusion Quality Effective date of registration: 20230810 Granted publication date: 20220111 Pledgee: Chongqing Yuzhong Sub branch of China Construction Bank Corp. Pledgor: Seven Teng Robot Co.,Ltd. Registration number: Y2023980051686 |
|
PE01 | Entry into force of the registration of the contract for pledge of patent right |