Impact of Feature Extraction Techniques on a CBIR System

Feature extraction is a key step and plays a deciding role for the performance of an image retrieval system. Success of a Content Based Image Retrieval System depends on the used features of the image. This paper includes a wide-range of survey on the various feature extraction process and their impact on the working behavior of an image retrieval system. This impact is calculated on the basis of retrieval accuracy, retrieval time, space complexity and feature extraction time. Comprehensive survey on the recent trends and challenges to the retrieval system has also been discussed. Furthermore, directions and suggestions, based on the real world applications are also suggested for encouraging the researchers in the area of image processing for adopting the optimized feature extraction process. This survey also tries to fill the gap between the traditional approaches and recent trends of feature extraction. More importantly, this paper also surveyed the issues with the feature extraction techniques in spatial as well as spectral domain.

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