DocumentCode :
2269298
Title :
A Color HSV Image Edge Detection Method Based on Gradient Extreme Value
Author :
Jing-xiu Zhao ; Ming-yan Liu
Author_Institution :
Sch. of Comput. Sci., Qufu Normal Univ., Qufu
Volume :
3
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
381
Lastpage :
384
Abstract :
In order to be better for color image edge detection,this paper analyze the existing problems of gradient algorithm with HSV color image characteristics and the separation by color hue, saturation and brightness information and proposes a color image edge detection method based on gradient extreme value of the local region. The algorithm extracts the edge pixels directly in the local area boundary detection window, first calculate the distance of hue, saturation and brightness between two pixels and then take their sum as the final color distance. The experimental results indicate that this method could obtain more real edges with better continuity.
Keywords :
edge detection; gradient methods; image colour analysis; color HSV image edge detection; color brightness information; color hue information; color saturation information; gradient extreme value algorithm; Application software; Brightness; Computer science; Euclidean distance; Humans; Image analysis; Image color analysis; Image edge detection; Information technology; Visual perception; color image; edge detection; extremum; gradient operator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
Type :
conf
DOI :
10.1109/IITA.2008.9
Filename :
4740023
Link To Document :
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