DocumentCode :
3757325
Title :
SURF Feature Description Method of Color Image Based on Quaternion
Author :
Shen Qian;Liu Chan-juan;Zou Hai-lin;Liu Ying;Chen Tong-tong
Author_Institution :
Sch. of Inf. &
fYear :
2015
Firstpage :
507
Lastpage :
511
Abstract :
To solve the problem of feature description in color image, in this paper, a novel method of SURF (speed up robust features) feature description of color image based on quaternion is proposed according to the influences of color information to image feature attribute. Firstly, the color information of three color channels is expressed by the three imaginary parts of pure quaternion separately. Then, taking advantage of the characteristic of rotation invariance of quaternion norm, feature description vectors are described by pure quaternion norm. Finally, the simulation experiments show that the correct matching ratios of our method is higher than SURF method and fully affine invariant SURF (FAIR-SURF) method, which verifies the effectiveness of our method in this paper.
Keywords :
"Quaternions","Color","Image color analysis","Feature extraction","Algorithm design and analysis","Robustness","Classification algorithms"
Publisher :
ieee
Conference_Titel :
Broadband and Wireless Computing, Communication and Applications (BWCCA), 2015 10th International Conference on
Type :
conf
DOI :
10.1109/BWCCA.2015.7
Filename :
7424877
Link To Document :
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