چکیده (انگلیسی):

A picture or image is worth a thousand words. It is very much pertinent to the field of image processing. In
the recent years, much advancement in VLSI technologies has triggered the abundant availability of
powerful processors in the market. With the prices of RAM are having come down, the databases could be
used to store information on the about art works, medical images like CT scan, satellite images, nature
photography, album images, images of convicts i.e., criminals for security purpose, giving rise to a massive
data having a diverse image set collection. This leads us to the problem of relevant image retrieval from a
huge database having diverse image set collection. Web search engines are always expected to deliver
flawless results in a short span of time including accuracy and speed. An image search engine also comes
under the same roof. The results of an image search should match with the best available image from in the
database. Content Based Image Retrieval (CBIR) has been proposed to enable these image search engines
with impeccable results. In this CBIR technology, using only color and texture as parameters for zeroing in
on an imagemay not help in fetching the best result. Also most of the existing systems uses keyword based
search which could yield inappropriate results. All the above mentioned drawbacks in CBIR have been
addressed in this research. A complete analysis of CBIR including a combination of features has been
carried out, implemented and tested.