Wavelet based directional local extrema patterns for image retrieval on large image database

dc.contributor.author	Verma, M.
dc.contributor.author	Raman, B.
dc.contributor.author	Murala, S.
dc.date.accessioned	2016-12-12T10:01:57Z
dc.date.available	2016-12-12T10:01:57Z
dc.date.issued	2016-12-12
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/744
dc.description.abstract	Nowadays, images are part of our daily life, and content based image retrieval (CBIR) is a wide research area. Many researchers have done work on local patterns and directional patterns. In this paper, a new direction based feature descriptor has been proposed for content based image retrieval. The proposed method extracts the directional features using discrete wavelet transform (DWT) and directional local extrema patterns (DLEP). Wavelet coefficients are extracted from image, and based on direction information of the coeffi- cient, corresponding DLEP is applied. Presented method has been tested on Corel-5k and Corel-10k database, and evaluation measures are computed for the fruitfulness of this method. Comparison with earlier local pattern techniques indicates that this directional method is more significant than others.	en_US
dc.language.iso	en_US	en_US
dc.subject	Content based image retrieval	en_US
dc.subject	Feature descriptor	en_US
dc.subject	Discrete wavelet transform	en_US
dc.subject	Directional local extrema pattern	en_US
dc.title	Wavelet based directional local extrema patterns for image retrieval on large image database	en_US
dc.type	Article	en_US