An Improved Method for Image Retrieval Based on Color and Texture Features

Abstract : With the development of technology and Internet,people need more and more information.The carrier of information is also changed from the original text into the current image, video, etc. Image retrieval plays an increasingly important role in the field of study. This paper is a study of image retrieval based on color and texture features, the main algorithms include color histogram,color moment,gray level co-occurrence matrix(GLCM) and Tamura texture features,etc.Then it made further improvements that combined color histogram and Tamura texture features method (we made Tamura texture retriveal again based on color histogram firstly) based on search results.Experimental results demonstrate that the rates of retriveal by comprehensive approach is higher than using a single method.
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Communication dans un congrès
Daoliang Li; Yingyi Chen. 8th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2014, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-452, pp.739-752, 2015, Computer and Computing Technologies in Agriculture VIII. 〈10.1007/978-3-319-19620-6_80〉
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Jun Yue, Chen Li, Zhenbo Li. An Improved Method for Image Retrieval Based on Color and Texture Features. Daoliang Li; Yingyi Chen. 8th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2014, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-452, pp.739-752, 2015, Computer and Computing Technologies in Agriculture VIII. 〈10.1007/978-3-319-19620-6_80〉. 〈hal-01420292〉

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