• Prof. Vikram Mahendra Kakade Assistant Professor, Electronics & Telecommunication Engineering Department, Prof Ram Meghe College of Engineering & Management, Badnera-Amravati, Maharashtra India-444702.


CBIR, Color, Feature, Image, Mapping


The deployment of large image databases for a variety of applications have now become realizable. Databases of art works, satellite and medical imagery have been attracting more and more users in various professional fields — for example, geography, medicine, architecture, advertising, design, fashion, and publishing. In this paper my approach is used to present best method in terms of efficiency and comparative analysis over various method where work has been carried until now the retrieval of images based on visual features such as colour, texture and shape Reasons for its development . In many large image databases, traditional methods of image indexing have proven to be insufficient, laborious, and extremely time consuming. These old methods of image indexing, ranging from storing an image in the database and associating it with a keyword or number, to associating it with a categorized description, have become obsolete.


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How to Cite

Prof. Vikram Mahendra Kakade. (2017). AN EFFICIENT IMAGE MATCHING TECHNIQUE IN MATLAB. International Education and Research Journal (IERJ), 3(6). Retrieved from