A Survey on Content Based Image Retrieval Based On Edge Detection

Content-based image retrieval (CBIR) work includes image representation, selection, and matching. An image contains different Information of picture, such as object’s color, texture, shape, size, but intolerance of the objects from their background is the first analysis task that should be performed. The contour of an object can be extracted, by detect the object’s edges formation, and this provides the constitutional importance of edge detection in computer vision and image processing and analysis. Edge detection process has its uses in wide range of applications such as recognition of images, compression, image enhancement, morphing, restoration, registration, retrieval, hiding, and etc. The papers purpose is to provide comparison on existing methods such as Sobel operator technique, Prewitt technique, Canny edge detector, Marr Hildrith Edge Detector, Laplacian technique and Edge Maximization Technique (EMT), Roberts Cross Edge Detector, And highlight the best method to retrieve similar query image from a large database.