A smart content-based image retrieval system based on color and texture feature

2009 ◽  
Vol 27 (6) ◽  
pp. 658-665 ◽  
Author(s):  
Chuen-Horng Lin ◽  
Rong-Tai Chen ◽  
Yung-Kuan Chan
Keyword(s):  
Image Retrieval ◽  
Retrieval System ◽  
Texture Feature ◽  
Content Based Image Retrieval ◽  
Image Retrieval System

Images Retrieval Based on Integrated Features

2014 ◽  
Vol 543-547 ◽  
pp. 2292-2295
Author(s):  
Ching Hung Su ◽  
Huang Sen Chiu ◽  
Mohd Helmy A. Wahab ◽  
Tsai Ming Hsiehb ◽  
You Chiuan Li ◽  
...  
Keyword(s):  
Image Retrieval ◽  
Retrieval System ◽  
Texture Feature ◽  
Content Based Image Retrieval ◽  
Code Comparison ◽  
Retrieval Scheme ◽  
Image Retrieval System ◽  
Retrieval Problem ◽  
Color Sequence ◽  
Edge Histogram

We propose a practical image retrieval scheme to retrieve images efficiently. The proposed scheme transfers each image to a color sequence using straightforward 8 rules. Subsequently, using the color sequences to compare the images, namely color sequences comparison. We succeed in transferring the image retrieval problem to sequences comparison and subsequently using the color sequences comparison along with the texture feature of Edge Histogram Descriptor to compare the images of database. We succeed in transferring the image retrieval problem to quantized code comparison. Thus the computational complexity is decreased obviously. Our results illustrate it has virtues both of the content based image retrieval system and a text based image retrieval system.

scholarly journals Content-Based Image Retrieval System for Pulmonary Nodules Using Optimal Feature Sets and Class Membership-Based Retrieval

2018 ◽  
Vol 32 (3) ◽  
pp. 362-385 ◽  
Author(s):  
Shrikant A. Mehre ◽  
Ashis Kumar Dhara ◽  
Mandeep Garg ◽  
Naveen Kalra ◽  
Niranjan Khandelwal ◽  
...  
Keyword(s):  
Image Retrieval ◽  
Retrieval System ◽  
Pulmonary Nodules ◽  
Content Based Image Retrieval ◽  
Class Membership ◽  
Feature Sets ◽  
Image Retrieval System ◽  
Optimal Feature
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