21 September 2001 Automatic thresholding of gray-level images using two-dimensional Bayes discrimination rule
Author Affiliations +
Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001); doi: 10.1117/12.441469
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
The paper integrates the virtues of thresholding and region growing, and utilizes gray frequency distributing and local spatial information to segment image simultaneously by multi-gray-character(multi-dimensional histogram). The technique researched in this paper was found on the model that multi-dimensional histogram of an image that fits multi-dimensional gaussian-mixture-distributing. The paper derivates the parameters formulations of gaussian-mixture model based on maximum likelihood estimate, then the bayes discrimination rule guides the segmentation result. The theoretic analysis and experiment indicates the new technique overcomes two main shortcomings of the existing similar techniques.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hai Bing Guan, Guo Rong Xuan, Ying Cai Bai, "Automatic thresholding of gray-level images using two-dimensional Bayes discrimination rule", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441469; https://doi.org/10.1117/12.441469

Image segmentation

Image processing algorithms and systems


Algorithm development

Mathematical modeling

Signal to noise ratio

Analytical research

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