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Published in:   Vol. 4 Issue 2 Date of Publication:   December 2015

Partial Image Retrieval Systems in Luminance and Color Invariants : An Empirical Study

P.Mary Jeyanthi

Page(s):   54-58 ISSN:   2278-2397
DOI:   10.20894/IJWT. Publisher:   Integrated Intelligent Research (IIR)

Color of the surface is one of the most imperative characteristics in the process of recognition as well as classification of the object which is based on camera. On the other hand, color of the object sometimes differs a lot due to the difference in illumination as well as the conditions of the surface. Utilization of the diverse features of the color gets impeded due to such variations. However, Characterization of the color of the object is possible with a controlling tool known as color invariants without considering the factors such asillumination and conditions of the surface. In the research proposal, analysis has been done on the estimation procedure related to RGB images color invariants. Object color is an imperative descriptor that can find the corresponding matching object in applications based on image matching as well as search, like- Object searching based on template and CBIR otherwise known as Content Based Image Retrieval. But, many times it has been observed that the apparent color of different objects gets varied significantly due to illumination, conditions of the surface as well as observation (Finlayson et al., 1996).