Design of Colour and Texture Based Relevant Image Search Engine
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 1
Abstract
Online Navigation behavior grows each passing day, due to the interest of people in digital images is growing day by day; so the Users in many professional fields are exploiting the opportunities offered by the ability to access and manipulate remotely-stored images in all kinds of new and exciting ways but extracting information intelligently from a large image database, is a difficult issue and most commonly the irrelevant data’s which are not related to our search will be retrieved. This paper approaches a new method, to achieve high efficiency and effectiveness of Content-Based-Image-Retrieval in large scale image data. We achieve effectiveness via extracting the colour and texture features by combining colour feature and Discrete Wavelet Transform (DWT) as well as Color Correction Matrix (CCM) separately depending on the former, image retrieval based on multi feature fusion is achieved by using normalized Euclidean distance classifier. In terms of efficiency we propose a new method DWT to learn online user behavior. This technology used in medical, Photoshop and web field.
Authors and Affiliations
S. Meenachi Sundaresan , Dr. K. G. Srinivasagan
Keywords
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