DocumentCode :
50862
Title :
Colour edge detection based on the fusion of hue component and principal component analysis
Author :
Tao Lei ; Yangyu Fan ; Yi Wang
Author_Institution :
Sch. of Electron. & Inf. Eng., Lanzhou Jiao tong Univ., Lanzhou, China
Volume :
8
Issue :
1
fYear :
2014
fDate :
Jan-14
Firstpage :
44
Lastpage :
55
Abstract :
Hue component is generally denoted by angle value, so the conventional edge detection operators are incapable to accurately detect edges of hue component. As a result, the popular methods of colour image edge detection usually omit the role of hue component, thus missing some edges caused by hue changes. The authors propose a novel colour edge detection method based on the fusion of hue component and principal component analysis to solve the above problems. First, a novel computational method of hue difference is defined, and then it is applied to classical gradient operators to obtain accurate edges for hue component. Moreover, complete object edges can be obtained by using the edge fusion of the first principal component and hue component of colour image with low-computational complexity. Experimental results show that the proposed approach not only can act on hue component directly and obtain accurate edges caused by hue changes, but also is effective and easy to implement.
Keywords :
computational complexity; edge detection; gradient methods; image colour analysis; principal component analysis; classical gradient operators; computational complexity; edge fusion; hue component; hue difference; novel colour image edge detection method; novel computational method; principal component analysis;
fLanguage :
English
Journal_Title :
Image Processing, IET
Publisher :
iet
ISSN :
1751-9659
Type :
jour
DOI :
10.1049/iet-ipr.2013.0062
Filename :
6704487
Link To Document :
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