An Image Feature Extraction and Image Representation Strategies for the Analysis of Image Processing

Feature extraction and feature representation techniques are an important and crucial process in image processing. To extract and retrieve the ideal features is still a challenging problem in the computer vision which can reflect the essential content of the representation as complete as possible. Feature extraction is usually applied for generating the important features to be used in the feature selection and classification process. Feature selection minimizes the number of features delivered to the classification task. Those features are probable to assist in perception are selected and used in the classification process. This paper review the recent development of image feature extraction and representation. Also, this paper analyzes the efficiency of the integration of local and global features in the content based image retrieval and image annotation.