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