| Paper Abstract and Keywords |
| Presentation |
2004-10-22 10:30
Image thresholding by histogram segmentation using cluster organization avoiding local minima
Agus Zainal Arifin, Akira Asano (Hiroshima Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Image thresholding is usually used to distinguish the foreground from the background. The image thresholding problem is closely related to the clustering problem, which segments the image into several classes. This paper proposes a novel method of image thresholding using the optimal histogram segmentation by the cluster organization based on the similarity between adjacent clusters. The similarity measure proposed in this paper is based on the mean distance of the clusters to be marged and the compactness of the new merged cluster. Since this method is not based on the minimization of a function, the problem of selecting the threshold at the local minima is avoided. This approach overcomes the local minima that affect most of the conventional methods by maximizing the interclass variance and minimizing the intraclass variance. It is straightforward to extend the method to multi-level thresholding problem by stopping the grouping as the expected segment number is achieved. Results obtained from automatic thresholding of the experimental images are showing the validity of the method. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Thresholding / Clustering / Interclass variance / Intraclass variance / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 104, no. 370, PRMU2004-90, pp. 1-7, Oct. 2004. |
| Paper # |
PRMU2004-90 |
| Date of Issue |
2004-10-15 (PRMU) |
| ISSN |
Print edition: ISSN 0913-5685 |
| Download PDF |
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| Conference Information |
| Committee |
PRMU |
| Conference Date |
2004-10-21 - 2004-10-22 |
| Place (in Japanese) |
(See Japanese page) |
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| Topics (in Japanese) |
(See Japanese page) |
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| Paper Information |
| Registration To |
PRMU |
| Conference Code |
2004-10-PRMU |
| Language |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Image thresholding by histogram segmentation using cluster organization avoiding local minima |
| Sub Title (in English) |
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| Keyword(1) |
Thresholding |
| Keyword(2) |
Clustering |
| Keyword(3) |
Interclass variance |
| Keyword(4) |
Intraclass variance |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Agus Zainal Arifin |
| 1st Author's Affiliation |
Hiroshima University (Hiroshima Univ.) |
| 2nd Author's Name |
Akira Asano |
| 2nd Author's Affiliation |
Hiroshima University (Hiroshima Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2004-10-22 10:30:00 |
| Presentation Time |
30 minutes |
| Registration for |
PRMU |
| Paper # |
PRMU2004-90 |
| Volume (vol) |
vol.104 |
| Number (no) |
no.370 |
| Page |
pp.1-7 |
| #Pages |
7 |
| Date of Issue |
2004-10-15 (PRMU) |