NDLI: A study on pattern encoding of local binary patterns for texture-based image segmentation

Content Provider	IEEE Xplore Digital Library
Author	Chih-Hung Wu Li-Wei Lu Yao-Yu Li
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan (Chih-Hung Wu; Li-Wei Lu; Yao-Yu Li)
Abstract	Image segmentation is an important technique for image analysis. For image clustering, the homogeneity of pixel features is usually measured using the Euclidean distance. When textures are used as features for clustering, an encoding scheme that can rationally describe the variations of textures in terms of Euclidean distance, which provides effective clustering results. This study discusses on the problem mentioned above, where the local binary pattern (LBP) is employed as features for clustering. A heuristic algorithm is designed for rearranging the LBP codes. The fuzzy c-means algorithm is used as the clustering method. Some images are applied for evaluation and the results are analyzed. Clustering results using our proposed method and the original LBP encoding are compared. Experimental results show that proper arrangement of LBP encoding improves the performance of image segmentation, without modifying the clustering algorithms.
Starting Page	592
Ending Page	596
File Size	1107587
Page Count	5
File Format	PDF
ISBN	9781479942169
ISSN	2160133X
e-ISBN	9781479942152
DOI	10.1109/ICMLC.2014.7009674
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Abstracts Robustness Spatial resolution Remote sensing Euclidean distances Image clustering Texture Local binary pattern Encoding
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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