Abstract
With the advent of technology and multimedia information, digital images are increasing very quickly. Various techniques are being developed to retrieve/search digital information or data contained in the image. Traditional Text Based Image Retrieval System is not plentiful. Since it is time consuming as it require manual image annotation. Also, the image annotation differs with different peoples. An alternate to this is Content Based Image Retrieval (CBIR) system. It retrieves/search for image using its contents rather the text, keywords etc. A lot of exploration has been compassed in the range of Content Based Image Retrieval (CBIR) with various feature extraction techniques. Shape is a significant image feature as it reflects the human perception. Moreover, Shape is quite simple to use by the user to define object in an image as compared to other features such as Color, texture etc. Over and above, if applied alone, no descriptor will give fruitful results. Further, by combining it with an improved classifier, one can use the positive features of both the descriptor and classifier. So, a tryout will be made to establish an algorithm for accurate feature (Shape) extraction in Content Based Image Retrieval (CBIR). The main objectives of this project are: (a) To propose an algorithm for shape feature extraction using CBIR, (b) To evaluate the performance of proposed algorithm and (c To compare the proposed algorithm with state of art techniques.
Highlights
Content based image retrieval system is a very important task in digital image processing based systems
A lot of exploration has been compassed in the range of Content Based Image Retrieval (CBIR) with various feature extraction techniques
In the presented approach, the cbir system consists of an engine that itself determines the contents of the image based on input property and from the data base images as well
Summary
Content based image retrieval system is a very important task in digital image processing based systems. Of images are added on during the scanning processing like in schools, colleges, municipality, registrar offices etc This is due to the fact that in each government offices, all the records are being digitized for fast retrieval of the same. This gives rise to stack of images building up in image data base. The problem occurs when images belonging to a query property are sought from the data base. This becomes a very tedious task for a large data base. The data base images those show close resemblances to that of the query image in terms of features set are retrieved and the process is termed as content based image retrieval system
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