Downloads: 104 | Views: 163
Research Paper | Electronics & Communication Engineering | India | Volume 3 Issue 6, June 2014
Color Based Image Retrieval Using Texture Features and Image Mining Techniques
Deepashree K V
Abstract: Increasing use of World Wide Web and communication channels like mobile networking has increased the number of images used throughout the world. As processors become increasingly powerful; and memories become increasingly cheaper; the deployment of large image databases for a variety of applications have now become realisable. Databases of art works; satellite and medical imagery have been attracting more and more users in various professional fields for example; geography; medicine; architecture; advertising; design; fashion; and publishing. Effectively and efficiently accessing desired images from large and varied image databases is now a necessity. Image mining is an extended branch of data mining that is concerned with the process of knowledge discovery concerning digital images. Image retrieval is the basic requirement task in the present scenario. Color Based Image Retrieval (CBIR) is the popular image retrieval system by which the target image to be retrieved based on the useful features of the given image. The concepts of CBIR and Image mining combined to increase the speed of the image retrieval system.
Keywords: Image mining, color based image retrieval CBIR, GLCM, texture
Edition: Volume 3 Issue 6, June 2014,
Pages: 2062 - 2066