Journal ArticleDOI
A correlogram algorithm for image indexing and retrieval using wavelet and Rotated Wavelet Filters
TLDR
The proposed image-indexing algorithm with the combination of wavelet and Rotated Wavelet Correlogram is six times faster than the GWC, which make it suitable for online application.Abstract:
In this paper, a new image-indexing algorithm with the combination of wavelet and Rotated Wavelet Correlogram (RWC) is proposed in contrast to the Gabor Wavelet Correlogram (GWC) The 0° and 90° information (sub-band) of image collected from Standard Wavelet Filters (SWFs) and +45° and −45° are collected from Rotated Wavelet Filters (RWFs) and further used for correlogram feature calculation The data handling with proposed method is very less compared with GWC therefore this method is six times faster than the GWC, which make it suitable for online application The retrieval results of the proposed method are tested on three different databases, ie, Corel 1000 (DB1) natural image database, MIT VisTex (DB2) texture image database and Corel 2450 (DB3) natural image database The results after being investigated show a significant improvement in terms of their evaluation measures as compared with most of existing techniques on respective databasesread more
Citations
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Journal ArticleDOI
Local texton XOR patterns: A new feature descriptor for content-based image retrieval
Anu Bala,Tajinder Kaur +1 more
TL;DR: A novel feature descriptor, local texton XOR patterns (LTxXORP) is proposed for content-based image retrieval and shows a significant improvement as compared to the state-of-the-art features for image retrieval.
Journal ArticleDOI
Color Directional Local Quinary Patterns for Content Based Indexing and Retrieval
TL;DR: The retrieval performances of the proposed descriptor show a significant improvement as compared with standard local binary pattern LBP, center-symmetric localbinary pattern (CS-LBP), Directional binary pattern (DBC) and other existing transform domain techniques in IR system.
Journal ArticleDOI
Local Gabor maximum edge position octal patterns for image retrieval
TL;DR: A new feature descriptor, octal code which is coded based on the maximum edge positions (MEP) on Gabor responses is proposed, which shows a significant improvement as compared to other existing methods in terms of average retrieval precision (ARP) and average retrieval rate (ARR) on Corel-5000 andCorel-10000 databases.
Journal ArticleDOI
Local quantized extrema patterns for content-based natural and texture image retrieval
L. Koteswara Rao,D. Venkata Rao +1 more
TL;DR: The concepts of LQP and DLEP are integrated to propose the LQEP for image retrieval application and the results after investigation show a considerable improvements in terms of their evaluation measures as compared to the existing methods on respective databases.
Journal ArticleDOI
A hierarchical CBIR framework using adaptive tetrolet transform and novel histograms from color and shape features
TL;DR: A three-level hierarchical CBIR system/framework where, each level of the hierarchy uses either texture, shape or color image features to reduce the size of the image database by discarding the irrelevant images and at final level ofThe hierarchy, it will extract the most analogous images from the reduced image database.
References
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Proceedings ArticleDOI
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