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A Content Based Image Retrieval Using Soft Computing Technique

Authors(2):

Vikram Verma, Rachna Rajput
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The CBIR tends to index and retrieve images based on their visual content. CBIR avoids many problems associated with traditional ways of retrieving images by keywords. Thus, a growing interest in the area of CBIR has been established in recent years. The performance of a CBIR system mainly depends on the particular image representation and similarity matching function employed. The CBIR tends to index and retrieve images based on their visual content. CBIR avoids many problems associated with traditional ways of retrieving images by keywords. Thus, a growing interest in the area of CBIR has been established in recent years. The performance of a CBIR system mainly depends on the particular image representation and similarity matching function employed. So a new CBIR system is proposed which will provide accurate results as compared to previous developed systems. Soft technique will be used in this system. Based Image Retrieval system which evaluates the similarity of each image in its data store to a query image in terms of various visual features and return the image with desired range of similarity. To develop and implement an efficient feature extraction NN to extract features according to data set using Auto calculate the feature weight by neural network. The precision and recall graph in gui according to the retrieved contents of the images from the datasets. To Apply back propagation or feed forward algorithm for neural network classification. To calculate cross correlation and apply regression model for feature matching.

Vikram Verma, Rachna Rajput

CBIR, NN, ABIR, precision , Recall

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Publication Details

Published in : Volume 3 | Issue 1 | January-February - 2017
Date of Publication Print ISSN Online ISSN
2017-02-28 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
125-129 IJSRSET173121   Technoscience Academy

Cite This Article

Vikram Verma, Rachna Rajput, "A Content Based Image Retrieval Using Soft Computing Technique", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 1, pp.125-129, January-February-2017.
URL : http://ijsrset.com/IJSRSET173121.php

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