Color Texture based Image Retrieval System

Color - Texture based Image Retrieval System

Content Based Image Retrieval (CBIR) is an interesting and most emerging field in the area of ‘Image Search’, in which similar images for the given query image searched from the image database. Current systems use color, texture and shape information for image retrieval. In this paper wepropose a method in which both color and texturefeatures of the images are used to improve the retrieval resu...

Image Retrieval: Color and Texture Combining Based on Query-Image

It is a common way to process different image features independently in order to measure similarity between images. Color and texture are the common ones to use for searching in natural images. In [10] a technique to combine color and texture features based on a particular query-image in order to improve retrieval efficiency was proposed. Weighted linear combination of color and texture metrics...

Content-based image retrieval using color and texture fused features

A Content Based Image Retrieval System is a computer system for browsing, searching and retrieving images from a large database of digital images .Most common methods of image retrieval utilize some method of adding meta data such as captioning, keywords or description to the images so that retrieval can be performed over the annotation words. Content Based Image Retrieval (CBIR) deals with ret...

Accurate Image Retrieval Algorithm Based on Color and Texture Feature

Content-Based Image Retrieval (CBIR) is one of the most active hot spots in the current research field of multimedia retrieval. According to the description and extraction of visual content (feature) of the image, CBIR aims to find images that contain specified content (feature) in the image database. In this paper, several key technologies of CBIR, e. g. the extraction of the color and texture...

Content Based Image Retrieval Using Color and Texture Features