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Image Retrieval using Enhanced Feature Space

Author(s):

Pooja B. Shaha , Wainganga College of Engg. & Mgmt.; Malvika U. Saraf, Wainganga College of Engg. & Mgmt.; Puja Khanagr, Wainganga College of Engg. & Mgmt.

Keywords:

Colour Coherence Vector (CCV), Image Retrieval

Abstract

When the image is new, the world is new.” Any image can be interpreted in different way by different human being; the interpretation also depends upon Computer Vision System. Retrieving an image can be based on colour features texture features. The Human Vision System based on Human nervous system which holds the information in the form of signals in brain. The sources of information for our brain are our body sensors and to record pictures, eyes capture image and send the information to our brain and so image is interpreted on the basis of previously stored information. Now the important task and also we can call it as demand of future development in image processing is to process image through machine like how human brain does. To reduce the semantic gap between real content and interpreted content. So we suppose that using a single way of processing will not be enough for complete set of operations in the area of image mining. This Paper examines the Image mining techniques which is based on the Color Histogram, texture of Image. We are trying to match the query image with images in database on the basis of Color Histogram and Texture, shape and results are given on that basis.

Other Details

Paper ID: IJSRDV4I100138
Published in: Volume : 4, Issue : 10
Publication Date: 01/01/2017
Page(s): 136-138

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