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