• Sonika
• Aman Dureja

This paper introduces a content Based Image Retrieval (CBIR) based on evolutionary algorithm. Initially, the shape, color and texture feature is extracted for the given query image and also of the database images in a similar manner. Subsequently, similar images are retrieved utilizing an evolutionary algorithm based similarity. Thus, by means of the evolutionary algorithm, the required relevant images are retrieved from a large database based on the given query. The CBIR system is evaluated by querying different images and the efficiency of the system is evaluated by means of the precision-recall value of the retrieved results.

Feature extraction, shape, color histogram, texture, query, Evolutionary Algorithm (EA)

"Enhancing the CBIR Technique for Image Analysis through Machine Learning Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.157-160, May-2019, Available :http://www.jetir.org/papers/JETIR1905927.pdf

"Enhancing the CBIR Technique for Image Analysis through Machine Learning Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp157-160, May-2019, Available at : http://www.jetir.org/papers/JETIR1905927.pdf