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CBIR- Retreival of Images using Median Vector Algorithm

Publication Type : Conference Paper

Publisher : IEEE

Source : IEEE Xplore, December 2013

Url :

Campus : Chennai

School : School of Engineering

Department : Computer Science and Engineering

Year : 2013

Abstract : In content based image retrieval (CBIR) system, target images are sorted by feature similarities in terms of related query. Image classification is the important field in applications like security, biometrics, and in medical applications. An efficient image retrieval system is Hue, Saturation and Value (HSV) color space. This Classify the image into n number of areas based on different selected ranges of hue and value, then each area is partitioned into m number of segments based on the number of pixels it contains, the area which has more pixels will be partitioned into more segments and which has less pixels will be partitioned into less number of segments. This is used as a feature vector. Here color feature is one of the important features for image retrieval and content based image retrieval of clustering is the best method to sort the similar images. The proposed algorithms, inverse, inverse of engrave, double emboss, 3D shape detection, edge detection, gray scale, gray scale extended, color reduction and high color mode are used in the image enhancement process and color median vector algorithm is used to retrieve the similar images.

Cite this Research Publication : Elumalaivasan.P, Suthir S, Ravikumar.S, Dec 2013. ”CBIR- Retreival of Images using Median Vector Algorithm” in IEEE Xplore,

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