JOURNAL ARTICLE

Texture image retrieval by combining local binary pattern and discontinuity binary pattern

Abstract

Local binary pattern (LBP) is a nonparametric descriptor, which efficiently summarizes the local structures of images and has been very successful in image retrieval applications. In this paper, we propose a texture image retrieval technique which uses discontinuity binary pattern (DBP) along with the LBP. The DBP is formed by thresholding the absolute difference between the center pixel and its neighbors. This technique is applied to a database of 1180 sub-images from the twenty different classes of vistex database. Result shows that the proposed technique achieves good retrieval rate.

Keywords:
Local binary patterns Image retrieval Pattern recognition (psychology) Artificial intelligence Thresholding Pixel Discontinuity (linguistics) Computer science Image texture Binary number Binary image Histogram Image (mathematics) Computer vision Image processing Mathematics

Metrics

6
Cited By
0.48
FWCI (Field Weighted Citation Impact)
23
Refs
0.73
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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