relation: https://khub.utp.edu.my/scholars/3021/
title: Median and laplacian filters based feature analysis for content based image retrieval using color histogram refinement method
creator: Malik, F.
creator: Baharudin, B.
description: Median and Laplacian filters are used to remove noise from images but some mount of information is also lost. Edge extraction and sharpening methods are used to restore the information lost by median and Laplacian filters. Histogram is used to extract features from filtered image but it has problem that images with diverse appearance will have the same histograms because the spatial information in image does not preserve. To preserve spatial information, we quantize histograms into bins. In each bin the statistical features are calculated using the spatial information of regions. For similarity Sum-of-Absolute Differences (SAD) is used to calculate distance between query and database images. Retrieved images are displayed according to the optimized threshold value of the percentage of maximum of distance values. Experiments on the Corel database give results which show that the statistical features of histogram using spatial information are robust in retrieval of images based on Laplacian filter. © 2012 Asian Network for Scientific Information.
date: 2012
type: Article
type: PeerReviewed
identifier:   Malik, F. and Baharudin, B.  (2012) Median and laplacian filters based feature analysis for content based image retrieval using color histogram refinement method.  Journal of Applied Sciences, 12 (5).  pp. 416-427.  ISSN 18125654     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859414605&doi=10.3923%2fjas.2012.416.427&partnerID=40&md5=5ee6b8be059505046006eb94a77ed6a2
relation: 10.3923/jas.2012.416.427
identifier: 10.3923/jas.2012.416.427