Visual Feature Description Techniques for Content Based Image Retrieval
Latika Shyam Pinjarkar, Маниша Шарма, Smita Selot · The Journal of applied sciences research · 2015
Feature extraction technique is used in image processing to represent the image in its compact and unique form of single values for the purpose of content-based image retrieval (CBIR). The need of CBIR is because of the enormous increase in image database sizes, as well as its vast deployment in various applications. In CBIR systems, image processing techniques are used to extract visual features such as color, texture and shape from images. Images are represented as a vector of these extracted visual features. The images are retrieved on the basis of these visual feature vectors from the database. In this paper the conventional feature extraction techniques used in CBIR for visual feature description are discussed. KEYWORDS: Content Based Image Retrieval(CBIR),Color feature Extraction, Texture feature Extraction, Shape feature Extraction