An Integrated Approach for Image Retrieval based on Content
The difficulties faced in an image retrieval system used for browsing, searching and retrieving of image in an image databases cannot be underestimated also the efficient management of the rapidly expanding visual information has become an urgent problem in science and technology. This requirement formed the driving force behind the emergence of image retrieval techniques. Image retrieval based on content also called content based image retrieval, is a technique which uses the visual contents to search an image in the scale database. This Image retrieval technique integrate both low-level visual features, addressing the more detailed perceptual aspects, and high-level semantic features underlying the more general conceptual aspects of visual data. In connection with this Content Based Image Retrieval is a technology that is being developed to address different application areas, remote sensing, geographic information systems, and weather forecasting, architectural and engineering design, multimedia documents for digital libraries. In this paper we present an approach that significantly automates the retrieving process by relying on image analysis techniques that are based on image visual features like color with spatial information, texture and shape.
Keywords: CBIR, semiconductor manufacturing, spatial information
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