Efficient Block-based Matching for Content-based Image Retrieval using Color Features

2011 ◽  
Author(s):  
Wan S.H.M.W. Ahmad ◽  
Mohammad F.A. Fauzi ◽  
Rajasvaran Logeswaran ◽  
Wan M. D.W. Zaki
Keyword(s):  
Image Retrieval ◽  
Content Based Image Retrieval ◽  
Color Features ◽  
Block Based

scholarly journals Learning effective color features for content based image retrieval in dermatology

2011 ◽  
Vol 44 (9) ◽  
pp. 1892-1902 ◽  
Author(s):  
Kerstin Bunte ◽  
Michael Biehl ◽  
Marcel F. Jonkman ◽  
Nicolai Petkov
Keyword(s):  
Image Retrieval ◽  
Content Based Image Retrieval ◽  
Color Features

Content-Based Image Retrieval through Region Uniformly Partition

2012 ◽  
Vol 500 ◽  
pp. 471-474 ◽  
Author(s):  
Xiao Xiao ◽  
De Wen Zhuang ◽  
Shou Jue Wang
Keyword(s):  
Image Segmentation ◽  
Image Retrieval ◽  
Similarity Measure ◽  
Open Problem ◽  
Texture Features ◽  
Gabor Wavelet ◽  
Content Based Image Retrieval ◽  
Retrieval Performance ◽  
Color Features ◽  
Better Than

It has been demonstrated that accurate image segmentation is still an open problem. For avoiding this difficulties in content-based image retrieval, an region uniform partition approaching was proposed. Based on fusing regional color features using smooth slide histogram and texture features extracted using Gabor wavelet, we provided the corresponding similarity measure. The image retrieval performance on a subset of the COREL database are better than SIMPLIcity system showed the effectiveness of the proposed method.

Semantic Mapping of Color Feature and its Application in Content Based Image Retrieval

2012 ◽  
Vol 263-266 ◽  
pp. 2488-2492
Author(s):  
You Ping Zhong ◽  
Biao Peng ◽  
Jun Li ◽  
Chong Yang Zhang
Keyword(s):  
Image Retrieval ◽  
Mapping Method ◽  
Content Based Image Retrieval ◽  
Semantic Mapping ◽  
Semantic Retrieval ◽  
Semantic Description ◽  
Color Feature ◽  
Color Features ◽  
Color Descriptor ◽  
Dominant Color Descriptor

To support content based image retrieval, MPEG-7 is developed to define the content interfaces for images. In MPEG-7, Dominant Color Descriptor (DCD) is considered as the most important feature, and is widely used to describe the color features of an image. To support semantic queries from users, we proposed a color feature semantic mapping method in this work, which can translate the DCD values into semantic color names. The semantic mapping method is realized by constructing a mapping table between the DCD values and the semantic color names. To validate the effectiveness of our mapping method, an image retrieval experiment is conducted. From the comparison with the manually indexed description, the proposed mapping method is proved to be effective by the experiment results. Our work is very important to automatically generate the semantic description of an image and then support the users’ semantic retrieval queries.

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