AN ENTROPY-KL STRATEGY FOR ESTIMATING NUMBER OF CLASSES IN IMAGE SEGMENTATION ISSUES
different classes, to estimate the number of classes in image segmentation issues. In this strategy, the information of a homogeneous region is measured by entropy. Then a region is considered to be disordered and should be split if its entropy is more than a given threshold. On the contrary, when...
| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Copernicus Publications
2016-06-01
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| シリーズ: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| オンライン･アクセス: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/437/2016/isprs-archives-XLI-B7-437-2016.pdf |