An effective image retrieval scheme using color, texture and shape features

2011 ◽  
Vol 33 (1) ◽  
pp. 59-68 ◽  
Author(s):  
Xiang-Yang Wang ◽  
Yong-Jian Yu ◽  
Hong-Ying Yang
Keyword(s):  
Image Retrieval ◽  
Shape Features ◽  
Retrieval Scheme ◽  
Color Texture

Using combination of color, texture, and shape features for image retrieval in melanomas databases

2001 ◽  
Author(s):  
Mohamed-Chaker Larabi ◽  
Noel Richard ◽  
Christine Fernandez-Maloigne
Keyword(s):  
Image Retrieval ◽  
Shape Features ◽  
Color Texture

Content-Based Image Retrieval Using Color, Texture and Shape Features

2016 ◽  
Vol 685 ◽  
pp. 872-876 ◽  
Author(s):  
Alexey Ponomarev ◽  
Hitesh S. Nalamwar ◽  
Ilya Babakov ◽  
Chandrakant S. Parkhi ◽  
Gaurav Buddhawar
Keyword(s):  
Image Retrieval ◽  
Digital Imaging ◽  
Imaging Techniques ◽  
Content Based Image Retrieval ◽  
Shape Features ◽  
Large Databases ◽  
The Given ◽  
Color Texture

Nowadays CBIR is getting more and more attention from organizations and researchers due to advances in digital imaging techniques. A lot of interest is getting paid to search images from large databases, as it is not only difficult and time-consuming task but sometimes frustrating for the users. This paper proposes the CBIR system based on color, texture and shape features. The proposed method employs the use of DCT and DWT along with Hierarchical k-means algorithm for faster retrieval of images. The efficiency of the given method is demonstrated by the results in the paper.

A fast and effective image retrieval scheme using color-, texture-, and shape-based histograms

2016 ◽  
Vol 76 (20) ◽  
pp. 21787-21809 ◽  
Author(s):  
Amandeep Khokher ◽  
Rajneesh Talwar
Keyword(s):  
Image Retrieval ◽  
Retrieval Scheme ◽  
Color Texture
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