NDLI: Histogram Constraint Based Fast FCM Cluster Image Segmentation

Content Provider	IEEE Xplore Digital Library
Author	Tian Junwei Huang Yongxuan Tian Junwei
Copyright Year	2007
Description	Author affiliation: Xi'an Jiaotong Univ., Xi'an (Tian Junwei; Huang Yongxuan)
Abstract	Fussy c-mean cluster algorithm (FCM) is often used in image segmentation, but most FCM algorithm is time wasteful, for the purpose of improving segmentation efficiency, a fast segmentation algorithm based on histogram constraint is proposed. The new algorithm resample initial image to reduce data size, but reduction of data size space may cause distortion and make FCM converged to error threshold, in order to get best segmentation result, constraint based on distance deviation of histogram is incorporated. The initial histogram is smoothed to get its profile before calculating distance deviation, and its amplitude is transformed to a unified value. Correct resample ratio can be calculated from the changed histogram by golden section searching algorithm. Experiments are performed to validate the new fast FCM and the results shown that the segmentation result keeps in the same level with traditional FCM algorithm while the processing speed increases greatly. Compared with the other algorithms, the consumed time of our method is 1.0%-4.8% of traditional FCM algorithm, 3.4%-9.4% of 2D entropy algorithm and 5.1%-13.6% of Otsu algorithm, the average processing efficiency is 63, 22 and 15 times higher than above algorithms. The experiment results are consistent with theory and prove that distance deviation of histogram can reflect distortion degree of resample image, and the right segmentation can be deduced from reduced data.
Starting Page	1623
Ending Page	1627
File Size	882775
Page Count	5
File Format	PDF
ISBN	9781424407545
DOI	10.1109/ISIE.2007.4374847
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-04
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Image segmentation Clustering algorithms Entropy Information analysis Algorithm design and analysis Noise robustness Image converters Image analysis Pixel
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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