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Fusion of intensity and channel difference for improved colour edge detection

Main information
Edge detection, especially from colour images, plays very important roles in many applications for image analysis, segmentation and recognition. In this paper, a new colourgray mapping method for effective colour edge detection is proposed. From any given colour image C, a gray image D is defined as the accumulative differences between each of its two colour channels, and another gray image R is then obtained by weighting of D and gray intensity image G. Fusion of edges extracted from R and G forms the final results. Comparing with edges detected from traditional colour spaces like RGB, YCbCr and HSV, all using same Canny operator, it seems the proposed method can achieve more effective results from different test images. 
No referenced Knowhow defined
WP5: Detection, Extraction and Annotation of Knowledge. 
School of Informatics University of Bradford  Jianmin Jiang, Jinchang Ren 
2008-09-12 11:53  Request for more detail


Access and Use Rights
For educational purposes only - if public document.  For educational purposes only - if public document. 


Protection Status
Copyright School of Informatics, University of Bradford.  Patent Protection not sought. 
Licensing Protection not sought.  Utility Model Protection not sought. 
 
in Proc. VIE'08, Xi'an, China, pp. 18-22, July 29-Aug 1, 2008 
Closed, attachment is not public 


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