منابع مشابه
Multiple Objects Segmentation Based on Maximum-Likelihood Estimation and Optimum Entropy-Distribution (MLE-OED)
A new method bused on MLE-OED is proposed for unsupervised image segmentation of multiple objects which have fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss function proposed to implement image segmentation bused on the image’s local spatial information and global intensity distribution properties . The loss function consists of two terms:...
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متن کاملImage segmentation based on maximum-likelihood estimation and optimum entropy-distribution (MLE-OED)
A novel method based on MLE–OED is proposed for unsupervised image segmentation of multiple objects with fuzzy edges. It adjusts the parameters of a mixture of Gaussian distributions via minimizing a new loss function. The loss function consists of two terms: a local content fitting term, which optimizes the entropy distribution, and a global statistical fitting term, which maximizes the likeli...
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ژورنال
عنوان ژورنال: Nature
سال: 1992
ISSN: 0028-0836,1476-4687
DOI: 10.1038/357615b0