CN111008944B - Method and system for searching unstable pixels of infrared focal plane detector - Google Patents
Method and system for searching unstable pixels of infrared focal plane detector Download PDFInfo
- Publication number
- CN111008944B CN111008944B CN201911352927.0A CN201911352927A CN111008944B CN 111008944 B CN111008944 B CN 111008944B CN 201911352927 A CN201911352927 A CN 201911352927A CN 111008944 B CN111008944 B CN 111008944B
- Authority
- CN
- China
- Prior art keywords
- pixel
- image data
- original image
- unstable
- focal plane
- 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
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000003702 image correction Methods 0.000 claims abstract description 7
- 238000001514 detection method Methods 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 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
- G06T5/00—Image enhancement or restoration
- G06T5/77—Retouching; Inpainting; Scratch removal
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/10—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors
- G01J5/20—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors using resistors, thermistors or semiconductors sensitive to radiation, e.g. photoconductive devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/80—Geometric correction
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/10—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors
- G01J5/20—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors using resistors, thermistors or semiconductors sensitive to radiation, e.g. photoconductive devices
- G01J2005/202—Arrays
-
- 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
- G06T2207/10048—Infrared image
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
- Y02P70/50—Manufacturing or production processes characterised by the final manufactured product
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Transforming Light Signals Into Electric Signals (AREA)
- Radiation Pyrometers (AREA)
- Photometry And Measurement Of Optical Pulse Characteristics (AREA)
Abstract
A method and a system for searching unstable pixels of an infrared focal plane detector, wherein the method comprises the following steps: performing image correction and national standard blind pixel replacement in the full temperature interval of the infrared focal plane detector; determining the background temperature of the infrared focal plane detector, and collecting the original image data imaged by the infrared focal plane detector which is started up for n times under each background temperature to obtain a plurality of groups of original image data; selecting M surrounding pixel points by taking pixel points I (I, j) of a certain frame of image in original image data as the center; calculating pixel value differences of each pixel point I in the M pixel points around the pixel point I respectively to obtain M pixel value differences, and judging the number N of the pixel value differences larger than a preset threshold AD_thd; if N is greater than
Judging the pixel point I as an unstable pixel; traversing all pixel points of each frame of image area array in each group of original image data in a sliding window mode to obtain an unstable pixel list in each group of original image data.
Description
Technical Field
The invention relates to the field of blind pixel detection, in particular to a method and a system for searching unstable pixels of an infrared focal plane detector.
Background
The unstable pixel is a key parameter for evaluating the quality of the infrared focal plane detection device, and is the basis for improving the imaging quality by adopting a substitution or compensation technology. The performance index of the standard GB/T17444-2013 of the infrared focal plane array detector about blind pixels only comprises two blind pixels, namely a dead pixel and a overheat pixel. Unstable pixels with low-frequency noise and response rate changing along with the working state cannot be identified. The blind pixel level in the actual use process of the device can not be fully reflected, so that the imaging quality is influenced by the unstable pixel. Even causing tracking, search disturbances or misleading to the detector when the whole machine is in use.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method and a system for searching unstable pixels of an infrared focal plane detector, which make up for the shortages of national standards about blind pixel identification, judge the unstable pixels which can appear in the actual use state in advance, and further improve the stability of image quality in the use process of the detector, and the method comprises the following specific scheme:
as a first aspect of the present invention, there is provided a method for searching for unstable pixels of an infrared focal plane detector, the method comprising:
step 1, performing image correction and national standard blind pixel replacement in an infrared focal plane detector full temperature interval;
step 2, determining the background temperature of the infrared focal plane detector, and collecting the original image data imaged by the infrared focal plane detector which is started up for n times under each background temperature to obtain a plurality of groups of original image data;
and 3, carrying out unstable pixel judgment on each group of acquired original image data frame by frame to obtain an unstable pixel list in each group of original image data, and merging the unstable pixel lists in each group of original image data to obtain the total unstable pixel of the infrared focal plane detector under the background of the temperature interval.
Further, in step 3, the unstable pixel determination is performed on each group of collected original image data frame by frame, and the unstable pixel list in each group of original image data is specifically obtained as follows:
step 3.1, selecting M surrounding pixel points by taking a pixel point I (I, j) of a certain frame image in original image data as a center, wherein I and j represent coordinate positions of the pixel point I in the frame image;
step 3.2, calculating pixel value differences of each pixel point of the pixel point I and the surrounding M pixel points respectively to obtain M pixel value differences, and judging the number N of the pixel value differences larger than a preset threshold AD_thd;
step 3.3, if N is greater than
Judging the pixel point I as an unstable pixel;
and 3.4, traversing all pixel points of each frame of image area array in each group of original image data in a sliding window mode to obtain an unstable pixel list in each group of original image data.
Further, in step 3.1, m=24, and around 24 pixels are selected to form a 5×5 pixel array with the pixel I as the center.
Further, the method further comprises: in step 3.3, after the pixel point I is determined to be an unstable pixel, the average value of the pixel values of M surrounding pixel points replaces the pixel value of the pixel point I, so that the pixel point I becomes a stable pixel.
Further, in step 2, raw image data imaged by the infrared focal plane detector for n times of startup is collected, and the obtaining of multiple groups of raw image data specifically includes:
after each start-up operation, the original image data are collected at the time points of 1h, 2h, and mh after the start-up operation, at each time point, K frames of original image data are acquired, thereby obtaining a plurality of sets of original image data.
Further, m=4, k=6000.
As a second aspect of the present invention, there is provided an infrared focal plane detector unstable pixel searching system, the system including a national standard blind pixel replacement unit, an original image data acquisition unit, and an unstable pixel searching unit;
the national standard blind pixel replacement unit is used for carrying out image correction and national standard blind pixel replacement in the full temperature interval of the infrared focal plane detector;
the original image data acquisition unit is used for determining the background temperature of the infrared focal plane detector, and acquiring the original image data imaged by the infrared focal plane detector which is started up for n times under each background temperature to obtain a plurality of groups of original image data;
the unstable pixel searching unit is used for judging the unstable pixels of each group of acquired original image data frame by frame to obtain an unstable pixel list in each group of original image data, and merging the unstable pixel lists in each group of original image data to obtain the total unstable pixels of the infrared focal plane detector under the background of the temperature interval.
Further, the unstable pixel searching carries out unstable pixel judgment on each group of collected original image data frame by frame, and the unstable pixel list in each group of original image data is obtained specifically as follows:
selecting M surrounding pixel points by taking a pixel point I (I, j) of a certain frame image in original image data as a center, wherein I and j represent coordinate positions of the pixel point I in the frame image;
calculating pixel value differences of each pixel point I in the M pixel points around the pixel point I respectively to obtain M pixel value differences, and judging the number N of the pixel value differences larger than a preset threshold AD_thd;
if N is greater than
Judging the pixel point I as an unstable pixel;
traversing all pixel points of each frame of image area array in each group of original image data in a sliding window mode to obtain an unstable pixel list in each group of original image data.
The invention has the following beneficial effects:
the invention makes up the incomplete state of national standard about blind pixel identification, judges unstable pixels which can appear in the actual use state in advance, further improves the stability of image quality in the use process of the detector, and can search the unstable pixels in the full-temperature working interval to obtain a blind pixel list in the full-temperature interval.
Drawings
Fig. 1 is a schematic flow chart of a method for searching unstable pixels of an infrared focal plane detector according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, as a first aspect of the present invention, there is provided a method for searching unstable pixels of an infrared focal plane detector, the method comprising:
step 1, performing image correction and national standard blind pixel replacement in an infrared focal plane detector full temperature interval;
step 2, determining the background temperature of the infrared focal plane detector, and collecting the original image data imaged by the infrared focal plane detector which is started up for n times under each background temperature to obtain a plurality of groups of original image data;
and 3, carrying out unstable pixel judgment on each group of acquired original image data frame by frame to obtain an unstable pixel list in each group of original image data, and merging the unstable pixel lists in each group of original image data to obtain the total unstable pixel of the infrared focal plane detector under the background of the temperature interval.
The method comprises the steps of carrying out unstable pixel judgment on each group of collected original image data frame by frame, and obtaining an unstable pixel list in each group of original image data, wherein the unstable pixel list comprises the following specific steps:
step 3.1, selecting M surrounding pixel points by taking a pixel point I (I, j) of a certain frame image in original image data as a center, wherein I and j represent coordinate positions of the pixel point I in the frame image;
step 3.2, calculating pixel value differences of each pixel point of the pixel point I and the surrounding M pixel points respectively to obtain M pixel value differences, and judging the number N of the pixel value differences larger than a preset threshold AD_thd;
step 3.3, if N is greater than
Judging the pixel point I as an unstable pixel;
and 3.4, traversing all pixel points of each frame of image area array in each group of original image data in a sliding window mode to obtain an unstable pixel list in each group of original image data.
Wherein M is preferably 24, namely, taking the pixel point I as the center, selecting 24 surrounding pixel points to form a 5×5 pixel point array.
In step 2, the temperature difference between the adjacent background temperatures is preferably 5 °.
The method comprises the steps of firstly searching two blind pixels of dead pixels and overheat pixels of image data by the existing method, then judging unstable pixels which can appear in an actual use state, further improving the stability of image quality in the use process of the detector, and simultaneously searching the unstable pixels in a full-temperature working interval to obtain a blind pixel list of the full-temperature interval.
Preferably, the method further comprises: in step 3.3, after the pixel point I is determined to be an unstable pixel, the average value of the pixel values of M surrounding pixel points replaces the pixel value of the pixel point I, so that the pixel point I becomes a stable pixel.
Preferably, in step 2, raw image data imaged by the infrared focal plane detector for n times of startup is collected, and the obtaining of multiple sets of raw image data specifically includes:
after each start-up operation, the original image data are collected at the time points of 1h, 2h, and mh after the start-up operation, at each time point, K frames of original image data are acquired, thereby obtaining a plurality of sets of original image data.
Wherein m is preferably 4, k is preferably 6000, namely, the original image data are acquired at time points corresponding to 1h, 2h, 3h and 4h after each start-up, and 6000 frames of original image data are acquired at each time point.
As a second aspect of the present invention, there is provided an infrared focal plane detector unstable pixel searching system, the system including a national standard blind pixel replacement unit, an original image data acquisition unit, and an unstable pixel searching unit;
the national standard blind pixel replacement unit is used for carrying out image correction and national standard blind pixel replacement in the full temperature interval of the infrared focal plane detector;
the original image data acquisition unit is used for determining the background temperature of the infrared focal plane detector, and acquiring the original image data imaged by the infrared focal plane detector which is started up for n times under each background temperature to obtain a plurality of groups of original image data;
the unstable pixel searching unit is used for judging the unstable pixels of each group of acquired original image data frame by frame to obtain an unstable pixel list in each group of original image data, and merging the unstable pixel lists in each group of original image data to obtain the total unstable pixels of the infrared focal plane detector under the background of the temperature interval.
Further, the unstable pixel searching carries out unstable pixel judgment on each group of collected original image data frame by frame, and the unstable pixel list in each group of original image data is obtained specifically as follows:
selecting M surrounding pixel points by taking a pixel point I (I, j) of a certain frame image in original image data as a center, wherein I and j represent coordinate positions of the pixel point I in the frame image;
calculating pixel value differences of each pixel point I in the M pixel points around the pixel point I respectively to obtain M pixel value differences, and judging the number N of the pixel value differences larger than a preset threshold AD_thd;
if N is greater than
Judging the pixel point I as an unstable pixel;
traversing all pixel points of each frame of image area array in each group of original image data in a sliding window mode to obtain an unstable pixel list in each group of original image data.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (6)
1. An infrared focal plane detector unstable pixel searching method is characterized by comprising the following steps:
step 1, performing image correction and national standard blind pixel replacement in an infrared focal plane detector full temperature interval;
step 2, determining the background temperature of the infrared focal plane detector, and collecting the original image data imaged by the infrared focal plane detector which is started up for n times under each background temperature to obtain a plurality of groups of original image data;
step 3, carrying out unstable pixel judgment on each group of collected original image data frame by frame to obtain an unstable pixel list in each group of original image data, and merging the unstable pixel lists in each group of original image data to obtain the total unstable pixel of the infrared focal plane detector under the background of a temperature interval; in step 3, the unstable pixel determination is performed on each group of collected original image data frame by frame, and the unstable pixel list in each group of original image data is specifically obtained as follows:
step 3.1, selecting M surrounding pixel points by taking a pixel point I (I, j) of a certain frame image in original image data as a center, wherein I and j represent coordinate positions of the pixel point I in the frame image;
step 3.2, calculating pixel value differences of each pixel point of the pixel point I and the surrounding M pixel points respectively to obtain M pixel value differences, and judging the number N of the pixel value differences larger than a preset threshold AD_thd;
step 3.3, if N is greater than
Judging the pixel point I as an unstable pixel;
and 3.4, traversing all pixel points of each frame of image area array in each group of original image data in a sliding window mode to obtain an unstable pixel list in each group of original image data.
2. The method according to claim 1, wherein in step 3.1, m=24, and around 24 pixels are selected to form a 5×5 pixel array with pixel I as a center.
3. The method of claim 1, further comprising: in step 3.3, after the pixel point I is determined to be an unstable pixel, the average value of the pixel values of M surrounding pixel points replaces the pixel value of the pixel point I, so that the pixel point I becomes a stable pixel.
4. The method for searching unstable pixel of infrared focal plane detector according to claim 1, wherein in step 2, raw image data imaged by the infrared focal plane detector operated by n times of startup is collected, and the obtaining of multiple sets of raw image data is specifically:
after each start-up operation, the original image data are collected at the time points of 1h, 2h, and mh after the start-up operation, at each time point, k frames of raw image data are acquired, thereby obtaining a plurality of sets of raw image data.
5. The method of claim 4, wherein m=4 and k=6000.
6. The system is characterized by comprising a national standard blind pixel replacement unit, an original image data acquisition unit and an unstable pixel searching unit;
the national standard blind pixel replacement unit is used for carrying out image correction and national standard blind pixel replacement in the full temperature interval of the infrared focal plane detector;
the original image data acquisition unit is used for determining the background temperature of the infrared focal plane detector, and acquiring the original image data imaged by the infrared focal plane detector which is started up for n times under each background temperature to obtain a plurality of groups of original image data;
the unstable pixel searching unit is used for judging the unstable pixels of each group of acquired original image data frame by frame to obtain an unstable pixel list in each group of original image data, and merging the unstable pixel lists in each group of original image data to obtain the total unstable pixels of the infrared focal plane detector under the background of the temperature interval;
the unstable pixel searching is used for judging the unstable pixels of each group of acquired original image data frame by frame, and the unstable pixel list in each group of the original image data is obtained specifically as follows:
selecting M surrounding pixel points by taking a pixel point I (I, j) of a certain frame image in original image data as a center, wherein I and j represent coordinate positions of the pixel point I in the frame image; calculating pixel value differences of each pixel point I in the M pixel points around the pixel point I respectively to obtain M pixel value differences, and judging the number N of the pixel value differences larger than a preset threshold AD_thd; if N is greater than
Judging the pixel point I as an unstable pixel;
traversing all pixel points of each frame of image area array in each group of original image data in a sliding window mode to obtain an unstable pixel list in each group of original image data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911352927.0A CN111008944B (en) | 2019-12-25 | 2019-12-25 | Method and system for searching unstable pixels of infrared focal plane detector |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911352927.0A CN111008944B (en) | 2019-12-25 | 2019-12-25 | Method and system for searching unstable pixels of infrared focal plane detector |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111008944A CN111008944A (en) | 2020-04-14 |
| CN111008944B true CN111008944B (en) | 2023-07-14 |
Family
ID=70118081
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911352927.0A Active CN111008944B (en) | 2019-12-25 | 2019-12-25 | Method and system for searching unstable pixels of infrared focal plane detector |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111008944B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113160158B (en) * | 2021-04-13 | 2022-06-07 | 浙江大华技术股份有限公司 | Unstable pixel determination method, device, equipment and medium |
| CN114877998B (en) * | 2022-02-15 | 2023-07-28 | 东莞市鑫泰仪器仪表有限公司 | Infrared image blind pixel processing method and thermal infrared imager |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103268594A (en) * | 2013-05-17 | 2013-08-28 | 山东神戎电子股份有限公司 | Blind pixel replacing method of thermal infrared imager system |
| CN103335721A (en) * | 2013-06-21 | 2013-10-02 | 中国科学院西安光学精密机械研究所 | Infrared focal plane array dynamic blind pixel detection method based on scene matching |
| CN105928622A (en) * | 2016-04-26 | 2016-09-07 | 成都市晶林科技有限公司 | Infrared focal plane detector blind pixel correction method |
| CN106097276A (en) * | 2016-06-22 | 2016-11-09 | 成都市晶林科技有限公司 | Infrared image blind element antidote |
| CN106327474A (en) * | 2016-08-25 | 2017-01-11 | 上海航天控制技术研究所 | Automatic online blind pixel detection method |
| CN108805853A (en) * | 2017-04-28 | 2018-11-13 | 武汉多谱多勒科技有限公司 | A kind of infrared image blind pixel detection method |
| CN109799068A (en) * | 2018-09-28 | 2019-05-24 | 浙江兆晟科技股份有限公司 | A kind of unstable blind pixel detection method and system |
| CN110084795A (en) * | 2019-04-22 | 2019-08-02 | 武汉高德智感科技有限公司 | A kind of infrared image blind pixel detection method and system based on background |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR3020735B1 (en) * | 2014-04-30 | 2017-09-15 | Ulis | METHOD FOR PROCESSING AN INFRARED IMAGE FOR NON-UNIFORMITY CORRECTION |
-
2019
- 2019-12-25 CN CN201911352927.0A patent/CN111008944B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103268594A (en) * | 2013-05-17 | 2013-08-28 | 山东神戎电子股份有限公司 | Blind pixel replacing method of thermal infrared imager system |
| CN103335721A (en) * | 2013-06-21 | 2013-10-02 | 中国科学院西安光学精密机械研究所 | Infrared focal plane array dynamic blind pixel detection method based on scene matching |
| CN105928622A (en) * | 2016-04-26 | 2016-09-07 | 成都市晶林科技有限公司 | Infrared focal plane detector blind pixel correction method |
| CN106097276A (en) * | 2016-06-22 | 2016-11-09 | 成都市晶林科技有限公司 | Infrared image blind element antidote |
| CN106327474A (en) * | 2016-08-25 | 2017-01-11 | 上海航天控制技术研究所 | Automatic online blind pixel detection method |
| CN108805853A (en) * | 2017-04-28 | 2018-11-13 | 武汉多谱多勒科技有限公司 | A kind of infrared image blind pixel detection method |
| CN109799068A (en) * | 2018-09-28 | 2019-05-24 | 浙江兆晟科技股份有限公司 | A kind of unstable blind pixel detection method and system |
| CN110084795A (en) * | 2019-04-22 | 2019-08-02 | 武汉高德智感科技有限公司 | A kind of infrared image blind pixel detection method and system based on background |
Non-Patent Citations (4)
| Title |
|---|
| A new blind-pixel detection method for 384×288 long-wave infrared focal plane arrays images;Wenxiu Wang et al.;《9th International Symposium on Advanced Optical Manufacturing and Testing Technologies:Optoelectronic Materials and Devices for Sensing and Imaging》;全文 * |
| 一种新的红外焦平面阵列盲元检测与补偿方法;黄英东 等;《弹箭与制导学报》;摘要，第2，5节 * |
| 热红外成像光谱仪定标技术研究;孙羽;《中国优秀硕士学位论文全文数据库》;全文 * |
| 非制冷红外成像系统设计与成像质量评价 ——信号处理软硬件设计、调试与分析;陈成;《中国优秀硕士学位论文全文数据库 信息科技辑》;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111008944A (en) | 2020-04-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109696788B (en) | Quick automatic focusing method based on display panel | |
| CN102103753B (en) | Use method and the terminal of real time camera estimation detect and track Moving Objects | |
| CN111008944B (en) | Method and system for searching unstable pixels of infrared focal plane detector | |
| CN108769731A (en) | The method, apparatus and electronic equipment of target video segment in a kind of detection video | |
| WO2009133667A1 (en) | Device for displaying result of similar image search and method for displaying result of similar image search | |
| CN113674273B (en) | Optical detection method and system based on product defects and readable storage medium | |
| RU2009102124A (en) | VIDEO INFORMATION PROCESSING DEVICE FOR ALARM SYSTEM | |
| WO2014082480A1 (en) | Method and device for calculating number of pedestrians and crowd movement directions | |
| CN107305695B (en) | Automatic image dead pixel correction device and method | |
| CN101299239B (en) | Method and device for acquiring character area image and character recognition system | |
| CN111242096B (en) | People number gradient-based people group distinguishing method | |
| CN105991997B (en) | A kind of method that condenser type imaging sensor bad point positions in real time | |
| CN102680481A (en) | Detection method for cotton fiber impurities | |
| CN110766711A (en) | Video shot segmentation method, system, device and storage medium | |
| CN111612773B (en) | Thermal infrared imager and real-time automatic blind pixel detection processing method | |
| US9584807B2 (en) | Method and apparatus for motion estimation in a video system | |
| CN110084795A (en) | A kind of infrared image blind pixel detection method and system based on background | |
| CN116304963B (en) | Data processing system suitable for geological disaster early warning | |
| CN116630227A (en) | Blind pixel detection method, device, computer equipment and medium | |
| CN111008596B (en) | Abnormal video cleaning method based on characteristic expected subgraph correction classification | |
| CN102193164A (en) | Focusing method and camera | |
| CN103886551A (en) | Image filtering processor | |
| CN109829389B (en) | Machine displacement determination method, device and computer storage medium | |
| CN109087311B (en) | Temperature judging and reading method for temperature indicating paint | |
| CN117372285B (en) | Time domain high-pass filtering method and system for static and dynamic region distinction |
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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210702 Address after: No.6, Huanglongshan South Road, Donghu Development Zone, Wuhan City, Hubei Province Applicant after: WUHAN GUIDE INFRARED Co.,Ltd. Applicant after: Wuhan Gaode micro electromechanical and sensing Industrial Technology Research Institute Co.,Ltd. Address before: No.6, Huanglongshan South Road, Donghu Development Zone, Wuhan City, Hubei Province Applicant before: WUHAN GUIDE INFRARED Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| CB03 | Change of inventor or designer information |
Inventor after: Huang Li Inventor after: Fan chenling Inventor after: Wu Zhenghu Inventor after: Liu Bin Inventor after: Zhou Wenhong Inventor before: Fan chenling Inventor before: Wu Zhenghu Inventor before: Liu Bin Inventor before: Zhou Wenhong Inventor before: Huang Li |
|
| CB03 | Change of inventor or designer information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |