This paper presents a study on feature extraction techniques for image processing which is an important research subject in the field of computer vision. Representation and Feature extraction is an important step for multimedia processing. It manages how to concentrate perfect features that can mirror the intrinsic content of the picture. Feature extraction strategy extracts the distinct components from the picture like edges, corners and so on which can be used to match the similarity for estimation of relative transformation between the images. So in this paper we focus our study on the different methods used for image feature extraction, texture feature extraction and shape feature extraction.

Color feature, Color Histogram, Feature extraction, ,Haralik texture feature, Hu-Moment Shape Features, Tamura texture feature

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