Color Image Edge Detection Algorithm Research

Edge is composed by a collection of its nearby pixels which has a step change or changes in roof.It's the important information to image and the significant clue to visual perception.It's not only to transmit the most information of image but also the important foundation for image analysis and machine vision.Edge detection of the image is one of the most important issues to image processing and mode recognition.An image is an information system and most of its information comes from the edges.As a result,the edge extraction and detection play an important role in image processing.Edge detection is the first step of image analysis and understanding.The correctness and reliability of the results will have a direct effect on the understanding of the machine vision systems to the objective world.Although the research for edge detection has been very active for a long time and lots of practical edge detector has been put forwarded.However,most of the edge detection focus on gray image,the edge detection on color image has not been developed until recent years.The paper's contents and the framework are as the following:1.Introduction.At the beginning,we introduce the background and meaning of edge detection,descript its application areas and trends at home and abroad.2.Edge detection of gray image.Introduce several edge detection algorithms of gray image as well as other developed method since there are so many new methods and new concepts come out.3.Color space.In this chapter,we introduce the color space and its classification,then present several typical color spaces according to application area.4.Edge detection of color image.In this chapter,we introduce several typical edge detection algorithms of color image then make analysis of there principle as well as advantages and disadvantages.Based on analysis of the defect of previous algorithms,we put forward two algorithms which were referred to an approach of color image edge detection based on triangle similarity and an approach of color image edge detection based on the quantity of color information in HSV.Is different from the past which extended the method used in gray image directly to color image. They all change the difference of color to triangle' and color information's form which makes the abstract problem become not only quantization but also a problem shift to us that developed more perfect field.The experiment indicated these methods can make the full use of the color image information and preserved the outline of original image more completely.5.Conclusion and prospect.Make a summary of the full text and put forward envisage for further study.