Content Based Image Retrieval using interactive genetic algorithm

2014 ◽  
Author(s):  
Vinee V. Kawade ◽  
Arti V. Bang
Keyword(s):  
Genetic Algorithm ◽  
Image Retrieval ◽  
Content Based Image Retrieval ◽  
Interactive Genetic Algorithm

Automatic Feature Weight Assignment Based on Image Retrieval Using Genetic Algorithm

2014 ◽  
Vol 931-932 ◽  
pp. 1402-1406 ◽  
Author(s):  
Purichaya Srisook ◽  
Kata Praditwong
Keyword(s):  
Genetic Algorithm ◽  
Image Retrieval ◽  
Texture Features ◽  
Image Features ◽  
New Method ◽  
Content Based Image Retrieval ◽  
Equal Weight ◽  
Optimal Weight ◽  
Optimal Value ◽  
Feature Weight

The work proposes the new method to increase an efficiency of a Content-based Image Retrieval (CBIR) system. For combining many image features, the optimal weight of each feature is required. To find the optimal value of the feature, this work uses Genetic Algorithm (GA). An image is represented as color, shape and texture features. The experiment compares the results from the system with equal weight values and the system with the weights provided by GA. Evaluation shows the robustness and efficiency of the proposed technique.

Distance-based relevance feedback using a hybrid interactive genetic algorithm for image retrieval

2011 ◽  
Vol 11 (2) ◽  
pp. 1782-1791 ◽  
Author(s):  
Miguel Arevalillo-Herráez ◽  
Francesc J. Ferri ◽  
Salvador Moreno-Picot
Keyword(s):  
Genetic Algorithm ◽  
Image Retrieval ◽  
Relevance Feedback ◽  
Interactive Genetic Algorithm
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