DocumentCode :
2454522
Title :
Color image retrieval using edge-spatial feature
Author :
Shan, Zhao ; Guo-Hong, Gao ; Qian, Zhao
Author_Institution :
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
fYear :
2010
fDate :
24-27 Aug. 2010
Firstpage :
1479
Lastpage :
1482
Abstract :
Color image retrieval based on histogram is analyzed and a novel method is proposed based on the image edge information. Firstly, the image edge is extracted by the use of the color vector angles because of its character which is insensitive to illumination but sensitive to hue and saturation. Then, the color vector angle histogram of the image edge is constructed to describe the image feature. With this descriptor, the color information, edge information and shape feature have been taken into account. Experimental results have shown that the proposed method not only has sound retrieval performance but also has the robustness against illumination changes, position translation, scale translation of the image content.
Keywords :
edge detection; feature extraction; image colour analysis; image retrieval; color image retrieval; color information; color vector angle histogram; edge-spatial feature; hue; illumination change; image content; image edge exraction; image edge information; image feature; position translation; saturation; scale translation; shape feature; Histograms; Image color analysis; Image edge detection; Image retrieval; Lighting; Pixel; Robustness; color vector angle; content-based image retrieval; histogram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Education (ICCSE), 2010 5th International Conference on
Conference_Location :
Hefei
Print_ISBN :
978-1-4244-6002-1
Type :
conf
DOI :
10.1109/ICCSE.2010.5593745
Filename :
5593745
Link To Document :
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