Image Similarity Retrieval for FMIQ by CCV and Histogram Refinement
Satyawati M. Patil, Virupakshappa Patil · 2015
Abstract— Fast Multiresolution Image Querying or Content based image retrieval or Content Based Visual Information Retrieval or 'Query by Image Content' is one of the most interesting and important issues in digital image processing field. The aim of this paper that has been focused here is the multi-resolution image querying based on Color Coherence Vector and histogram refinement algorithm along with maximum effectiveness of color characteristics and mathematical model. Generally, the two methods for image retrieval have been implemented are color histogram refinement(CHR) and Color Coherence Vector (CCV) so as to generate the feature vectors on estimation basis. However, the query image can be easily retrieved from database despite the storage of several images with an increment in speed of retrieval since CCV plays a crucial role in it. Color feature extraction technique on basis of CCV assist in flawless retrieval of an image with maximum precision and accuracy. Therefore, the CHR method generates the result of about 80% while CCV method ultimately generates the result of about 89% in terms