A Performance Evaluation of Shape Based Image Retrieval Using Heuristic Function
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 12, Issue 2
Abstract
Heuristic function plays an important role in content based image retrieval. The heuristic function used for feature selection and feature optimization for retrieval process. The feature selection process are depends on feature extraction process. The content based image consists of three types of features such as color, texture and shape. The shape feature is very important feature for image retrieval. The extraction of shape feature various authors used different method such ad Gabor filter, wavelet transform function and Fourier descriptor. Now in current research trend MPEG-7 feature descriptor are mostly authors are used. In this paper descried the review of content based image retrieval based on shape based feature and optimization technique such as ANT colony optimization, genetic algorithm and neural network. The empirical evaluation result shows that ANT colony optimization technique is better optimization technique in compared with other such as genetic and neural network.
Authors and Affiliations
Parmalik Kumar, Pushpa Tandekar, Dhirendra Kumar Jha
Keywords
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- EP ID EP650377
- DOI 10.24297/ijct.v12i2.3286
- Views 97
- Downloads 0
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