A novel content based image retrieval system using K-means with feature extraction

2012 ◽  
Author(s):  
Jan-Ming Ho ◽  
Shu-Yu Lin ◽  
Chi-Wen Fann ◽  
Yu-Chun Wang ◽  
Ray-I Chang
Keyword(s):  
Feature Extraction ◽  
Image Retrieval ◽  
Retrieval System ◽  
Content Based Image Retrieval ◽  
Image Retrieval System

Image Recognition Based on Shape and Texture Features

2014 ◽  
Vol 536-537 ◽  
pp. 127-130
Author(s):  
Kun Geng
Keyword(s):  
Feature Extraction ◽  
Image Retrieval ◽  
Retrieval System ◽  
Texture Features ◽  
Morphological Processing ◽  
Content Based Image Retrieval ◽  
Shape Features ◽  
Key Technologies ◽  
Image Retrieval System ◽  
Important Position

Based on the shape of the image retrieval occupy an important position in the content-based image retrieval, and studied architecture, content-based image retrieval system, ie research-based image retrieval key technologies shape features for image noise in addition to the morphological processing; image segmentation; shape-based feature extraction and regional boundaries and description techniques and similarity measure techniques. The results show that the algorithm can effectively identify the characteristics of the image.

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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