The Study Of Color Image Edge Detection Algorithms And Its Applications

Color image processing is playing a more and more important role with the popularization and application of color images. At present, many countries at home and abroad have gradually begun to study on the subject--color image edge detection algorithm. According to different color spaces, color image processing frameworks and color tensor theory there are some applications, but mostly they are not widely used due to some disadvantages such as bad real-time property or not enough commonality. Therefore, the study of color image edge detection algorithms and application is imperative and is also the theoretical basis of these Provincial projects:<Visibility Detection of Traffic Video Based on CSLIP Algorithm>(No.BK2010366)and<Traffic Visibility Detection Based on Human Visual Reconstruction>(No.BE2011511).The paper presents color image edge detection algorithms which improves the traditional gray edge detection methods. Paper main jobs include:the color space and human visual theory, put forward the color image feature extraction algorithm based on color tensor and light quasi-invariant differentials in different color spaces to decrease the color image edge detection rate and effectively improve the performance of edge detection; put forward a color image edge detection algorithm based on local adaptive perceptual color difference, combine the influence of local changes in luminance and spatial frequency to human visual system to fill in the blank of color image edge detection algorithm based on human visual perception; put forward the single factor LIP algorithm to improve the existing parameters of LIP framework, design a factor to construct the relationship of LIP and traditional arithmetic, apply this algorithm in video image texture feature descriptions, the results are more consistent with human visual perception; present the color image edge detection operator based on quaternion theory, use quaternion and matrix theory to construct quaternion edge detection operator to acquire color image contour features and has more practical significanceAccording to the test in different scenes and light conditions, the color image edge detection algorithms proposed in this paper are superior to other existing algorithms in detection accuracy and noise resistance. The paper’s research results have succeeded applying in include Shanghai and Nanjing’s high speed road network video surveillance system and visibility detection system.The paper’s main innovation spots:· Put forward the color image feature extraction algorithm based on color tensor and light quasi-invariant differentials to decrease the color image edge detection rate and effectively improve the performance of edge detection;· Put forward a color image edge detection algorithm based on local adaptive perceptual color difference to solve the problem of color image edge detection algorithm based on human visual perception;· Put forward the single factor LIP algorithm and apply this algorithm in video image texture feature descriptions, the results are more consistent with human visual perception;· Present the color image edge detection operator based on quaternion theory to acquire color image contour features and has more practical significance.