Paper
30 October 2009 Transition region extraction and image segmentation algorithm in cloud space
LiXia Xue, ZuoCheng Wang
Author Affiliations +
Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74950S (2009) https://doi.org/10.1117/12.831327
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
LiXia Xue and ZuoCheng Wang "Transition region extraction and image segmentation algorithm in cloud space", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74950S (30 October 2009); https://doi.org/10.1117/12.831327
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KEYWORDS
Image segmentation

Image processing algorithms and systems

Clouds

Feature extraction

Fuzzy logic

Detection and tracking algorithms

Data modeling

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