CN102005046A - Novel method for detecting image color cast by color saturation detecting technology - Google Patents
Novel method for detecting image color cast by color saturation detecting technology Download PDFInfo
- Publication number
- CN102005046A CN102005046A CN 201010539234 CN201010539234A CN102005046A CN 102005046 A CN102005046 A CN 102005046A CN 201010539234 CN201010539234 CN 201010539234 CN 201010539234 A CN201010539234 A CN 201010539234A CN 102005046 A CN102005046 A CN 102005046A
- Authority
- CN
- China
- Prior art keywords
- color
- colour cast
- saturation
- detecting
- detection technique
- 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.)
- Pending
Links
Images
Landscapes
- Image Analysis (AREA)
Abstract
The invention provides a novel method for detecting image color cast by a color saturation detecting technology. Based on a color cast detecting algorithms of color saturation detection and application thereof in intelligent security, the method can effectively judge whether color cast is generated, thereby realizing intelligent video monitoring and intelligent judgment.
Description
Technical field
The invention belongs to the image/video field, particularly color space conversion and the accumulation histogram algorithm use in colour cast detects, and the application of this method in fault diagnosis system.
Technical background
Along with the rapid propelling in China of safe city engineering, the capital construction of video monitoring system begins to take shape, but simultaneously, the video monitoring system scale is increasing, monitored picture quantity is also more and more, and monitored picture quantity is also more and more, only depends on human eye that the fault picture is investigated one by one, efficient is very low, and therefore intelligentized video fault diagnosis importance highlights day by day.
It is exactly the diagnosis item that belongs to a key in the video fault diagnosis that the image colour cast detects.The main means that current master image colour cast detects are to carry out colour cast to detect in rgb space, but that rgb space has is not directly perceived, inhomogeneous, characteristics such as device dependence.Therefore can not satisfy the demand of the intelligent operation of extensive security protection preferably.
Along with the innovation of technology, the way of utilizing color saturation to carry out the detection of image colour cast becomes possibility.
Summary of the invention
The objective of the invention is at the video fault diagnosis system,, propose a kind of new method by color saturation detection technique detected image colour cast to the troubleshooting issue of camera in the safety-security area.
In order to realize goal of the invention, the technical scheme of employing is as follows:
Process flow diagram by color saturation detection technique detected image colour cast algorithm as shown in Figure 1.This flow process at first is to obtain current video frame, and we just carry out the color conversion of RGB to the HSV space to the video frame images that obtains then.Through after the conversion of color space, with that the image after the conversion is obtained H, the histogram distribution of S component is carried out the histogram accumulation to each component respectively then, the histogram accumulation becomes cumulative distribution function (probability distribution function) to histogram exactly, is exactly histogram normalization.At last according to our accumulation histogram to whether colour cast is judged, when the somewhere component exceeds normal range or is partial to very big the time, we just can judge whether to be colour cast according to figure.The transfer algorithm of color space and histogram acquisition algorithm are respectively by Fig. 2, and Fig. 3 is illustrated.
Detailed process with this algorithm detected image colour cast can be described below:
Extract the H in the HSV color space, the S component;
This algorithm has used the conversion and the histogrammic accumulation of color space flexibly, has simplified operand, has the excellent real-time performance simultaneously.。
Description of drawings
Fig. 1 is the process flow diagram of colour cast algorithm among the present invention;
Fig. 2 is a color space conversion synoptic diagram of the present invention;
Fig. 3 is a computing function synoptic diagram of the present invention.
Embodiment
As shown in Figure 3.
Function of the present invention is based on up-to-date OpenCV storehouse.OpenCV is writing a Chinese character in simplified form of " Open Source Computer Vision Library ", is the Intel computer vision storehouse of increasing income.It is made of a series of C functions and a spot of C++ class, is a lot of general-purpose algorithms that can realize Flame Image Process and computer vision aspect, can be used to handle problem common in the image/video field, wherein is mainly concerned with the content of the following aspects:
(1) CvCreateGaussianBGModel-Gaussian Background modeling;
(2) CvCvtColor-color space transformation;
(3) cvCreateHist-creates histogram;
(4) cvCalcHist-compute histograms;
In the present invention, by function cvCvtColor, that two field picture that input can be obtained is transformed into the hsv color space by rgb space;
Function cvSplit is used for the HSV color space of image is decomposed, and extracts the H color component.
Function C vHistogram is used to create the histogram of a sub-picture;
Function cvCalcHist is used for the histogram of edge calculation gradient direction figure, obtains the statistics with histogram result.
After drawing accumulation histogram, will observe and judge histogram, when exceeding the normality threshold scope or be partial to, the somewhere component just thinks the colour cast of having made a living very big the time.
Claims (3)
1. the new method by color saturation detection technique detected image colour cast is characterized in that based on the hsv color feature space color of image saturation degree being detected to judge whether image colour cast takes place;
2. the new method by color saturation detection technique detected image colour cast is characterized in that the function library based on OpenCV;
3. new method by color saturation detection technique detected image colour cast, it is characterized in that at first image being become the hsv color space with the RGB color space conversion, utilize the color accumulative histogram that the saturation degree of colourity and each colourity is added up, if the saturation degree that a kind of color is arranged greater than threshold value, is then thought colour cast has taken place; 4. follow according to the described new method by color saturation detection technique detected image colour cast of claim 3, it is characterized in that H component and S component reasonably being added up, thereby can reasonably calculate the saturation information of the inclined to one side color of institute according to the hsv color space.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201010539234 CN102005046A (en) | 2010-11-10 | 2010-11-10 | Novel method for detecting image color cast by color saturation detecting technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201010539234 CN102005046A (en) | 2010-11-10 | 2010-11-10 | Novel method for detecting image color cast by color saturation detecting technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102005046A true CN102005046A (en) | 2011-04-06 |
Family
ID=43812385
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201010539234 Pending CN102005046A (en) | 2010-11-10 | 2010-11-10 | Novel method for detecting image color cast by color saturation detecting technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102005046A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103020996A (en) * | 2012-12-28 | 2013-04-03 | 昆山市工业技术研究院有限责任公司 | Lab-space-based detection method based on image color cast |
| CN103065334A (en) * | 2013-01-31 | 2013-04-24 | 金陵科技学院 | Color cast detection and correction method and device based on HSV (Hue, Saturation, Value) color space |
| CN104658014A (en) * | 2015-02-10 | 2015-05-27 | 重庆金山科技（集团）有限公司 | Method for detecting in-vivo chromaticity abnormality |
| CN104881853A (en) * | 2015-05-28 | 2015-09-02 | 厦门美图之家科技有限公司 | Skin color rectification method and system based on color conceptualization |
| CN109559692A (en) * | 2018-12-11 | 2019-04-02 | 惠科股份有限公司 | A kind of driving method of display module, drive system and display device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1731451A (en) * | 2005-08-22 | 2006-02-08 | 上海广电（集团）有限公司中央研究院 | Method of image color enhancement |
| WO2006040311A2 (en) * | 2004-10-11 | 2006-04-20 | Thomson Licensing | Method for detecting skin tone pixels |
| CN2838169Y (en) * | 2005-09-08 | 2006-11-15 | 上海广电（集团）有限公司中央研究院 | Image color enhancing device |
| CN101151883A (en) * | 2005-03-31 | 2008-03-26 | 松下电器产业株式会社 | Image processing method, display image processing method, image processing device, and integrated circuit containing the image processing device |
| CN101426150A (en) * | 2008-12-08 | 2009-05-06 | 青岛海信电子产业控股股份有限公司 | Video image quality evaluation method and system |
| CN101605273A (en) * | 2009-07-23 | 2009-12-16 | 青岛海信数字多媒体技术国家重点实验室有限公司 | A kind of method of evaluating colour saturation quality and subsystem |
-
2010
- 2010-11-10 CN CN 201010539234 patent/CN102005046A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006040311A2 (en) * | 2004-10-11 | 2006-04-20 | Thomson Licensing | Method for detecting skin tone pixels |
| CN101151883A (en) * | 2005-03-31 | 2008-03-26 | 松下电器产业株式会社 | Image processing method, display image processing method, image processing device, and integrated circuit containing the image processing device |
| CN1731451A (en) * | 2005-08-22 | 2006-02-08 | 上海广电（集团）有限公司中央研究院 | Method of image color enhancement |
| CN2838169Y (en) * | 2005-09-08 | 2006-11-15 | 上海广电（集团）有限公司中央研究院 | Image color enhancing device |
| CN101426150A (en) * | 2008-12-08 | 2009-05-06 | 青岛海信电子产业控股股份有限公司 | Video image quality evaluation method and system |
| CN101605273A (en) * | 2009-07-23 | 2009-12-16 | 青岛海信数字多媒体技术国家重点实验室有限公司 | A kind of method of evaluating colour saturation quality and subsystem |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103020996A (en) * | 2012-12-28 | 2013-04-03 | 昆山市工业技术研究院有限责任公司 | Lab-space-based detection method based on image color cast |
| CN103020996B (en) * | 2012-12-28 | 2016-01-20 | 昆山市工业技术研究院有限责任公司 | Based on the detection method of the image color cast of Lab space |
| CN103065334A (en) * | 2013-01-31 | 2013-04-24 | 金陵科技学院 | Color cast detection and correction method and device based on HSV (Hue, Saturation, Value) color space |
| CN103065334B (en) * | 2013-01-31 | 2015-12-09 | 金陵科技学院 | A kind of color cast detection based on hsv color space, bearing calibration and device |
| CN104658014A (en) * | 2015-02-10 | 2015-05-27 | 重庆金山科技（集团）有限公司 | Method for detecting in-vivo chromaticity abnormality |
| CN104658014B (en) * | 2015-02-10 | 2017-09-22 | 重庆金山科技（集团）有限公司 | A kind of method for detecting colorimetric abnormality in organism |
| CN104881853A (en) * | 2015-05-28 | 2015-09-02 | 厦门美图之家科技有限公司 | Skin color rectification method and system based on color conceptualization |
| CN104881853B (en) * | 2015-05-28 | 2018-10-16 | 厦门美图之家科技有限公司 | A kind of colour of skin antidote and system based on color generalities |
| CN109559692A (en) * | 2018-12-11 | 2019-04-02 | 惠科股份有限公司 | A kind of driving method of display module, drive system and display device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102005046A (en) | Novel method for detecting image color cast by color saturation detecting technology | |
| CN107480658A (en) | Face identification device and method based on multi-angle video | |
| CN102930261A (en) | Face snapshot recognition method | |
| Ghazali et al. | An innovative face detection based on skin color segmentation | |
| CN202196458U (en) | Face recognition system | |
| Qi et al. | Automatic detection and counting method for spores of rice blast based on micro image processing | |
| CN106558061A (en) | A kind of cash register loss prevention method and system based on cloud computing | |
| CN110929608A (en) | Safety helmet wearing detection method and system | |
| CN103996033A (en) | Human identification method based on tracking of human face five-sense-organ coordinates | |
| Shao et al. | An image-based fire detection method using color analysis | |
| CN102592140A (en) | Method for monitoring condition of cyanobacteria bloom | |
| CN105718886A (en) | Moving personnel safety abnormity tumbling detection method | |
| CN102609729B (en) | Method and system for recognizing faces shot by multiple cameras | |
| Xiya et al. | An abandoned object detection system based on dual background and motion analysis | |
| CN102509079A (en) | Real-time gesture tracking method and tracking system | |
| CN101667250A (en) | Device and method for identifying hand on basis of Camshift algorithm and hand-shape shade | |
| Song et al. | The research of real-time forest fire alarm algorithm based on video | |
| CN103020578A (en) | Intelligent multi-target tracking algorithm based on bipartite matching | |
| CN103020981A (en) | Rapid key frame extraction algorithm based on video moving target | |
| CN101751557A (en) | Intelligent biological identification device and identification method thereof | |
| Nan et al. | Safety Helmet Detection Dynamic Model Based on the Critical Area Attention Mechanism | |
| Li et al. | License plate recognition based on intrinsic image decomposition algorithm | |
| CN104952143A (en) | Color change detection method and color change detection system for red waterlines of bill images | |
| Sapakova et al. | Deep learning-based face mask detection using YOLOV5 model | |
| CN102005045A (en) | Method for detecting movement of tripod head based on color histogram matching principle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20110406 |