Colour edge detection based on the fusion of hue component and principal component analysis

Tao Lei, Yangyu Fan, Yi Wang

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

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.

Original languageEnglish
Pages (from-to)44-55
Number of pages12
JournalIET Image Processing
Volume8
Issue number1
DOIs
StatePublished - 2014

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