“Feature Extraction in Content Based Image Retrieval: A Review”

Due to the rapid growth of image databases in almost every field like medical science, multimedia, geographical information system, photography, Journalism, etc., a effective and efficient technique is required to process the image .Content-based image retrieval is a technique which is used to extract the images on the basis of their content such as texture, color, shape and spatial layout. However it’s very difficult to retrieve the image due to the semantic gap between the user’s high level concepts and low-level features of the image. In order to minimize this gap many concepts was introduced. Moreover, Images can be stored and extracted based on various features and one of the prominent feature is Texture. Keyword Content Based Image Retrieval, Fuzzy Logic, Neural Network, Relevance Feedback, Color, Texture, Shape, Semantics.