Satellite Images Unsupervised Classification Using Two Methods Fast Otsu and K-means
Two unsupervised classifiers for optimum multithreshold are presented; fast Otsu and k-means. The unparametric methods produce an efficient procedure to separate the regions (classes) by select optimum levels, either on the gray levels of image histogram (as Otsu classifier), or on the gray levels o...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
University of Baghdad, College of Science for Women
2011-06-01
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| Series: | مجلة بغداد للعلوم |
| Subjects: | |
| Online Access: | http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/2553 |
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