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Proceedings Paper

Transition region extraction and image segmentation algorithm in cloud space
Author(s): LiXia Xue; ZuoCheng Wang
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Paper Abstract

A transition region extraction and image segmentation algorithm in cloud-space was proposed. Mapping image into onedimensional cloud-space by a one-to-many model, an object can be transformed into an object-cloud which with some digital characteristics. Two neighboring objects are corresponding to two intersecting object-clouds in cloud-space and the intersected region is just the transition region. By logical operation between intersecting clouds, we can obtain the boundary-cloud and its digital characteristics. The entropy and hyper-entropy of boundary-cloud can determine the reasonable scope of transition region. Calculating the average gray level of transition region as the threshold, we could extract the object accurately. Experiments testify that the algorithm is both efficient and effective.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74950S (30 October 2009); doi: 10.1117/12.831327
Show Author Affiliations
LiXia Xue, ChongQing Univ. of Posts and Telecommunications (China)
ZuoCheng Wang, ChongQing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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