Content Based Image Retrieval

Abstract

With the passing years, many advanced technologies have come into existence for efficientimage retrieval. Research in content-based image retrieval (CBIR) in the past has been focused on image processing, low-level feature extraction. The accuracy of retrieval has subsequently increased with the use of low level features such as color, texture, shape etc. But still image retrieval using low level features has been restricted to a specific efficiency. Extensive experiments on CBIR systems demonstrate that low-level image features cannot always describe high-level concepts in the users mind. Because, using low level features only does not include human perception. If human intervention is allowed in the image retrievalsystem the efficiency boosts up. Therefore, in this research my aim is to reduce the Gap between the low level and high level features because the CBIR systems should provide Maximum support in bridging the semantic gap between low-level visual features and the Richness of human semantics. Keywords- CPW, CST, FR4, LAN, WiMAX