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...
| Hlavní autoři: | , , , |
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| Médium: | Článek |
| Jazyk: | English |
| Vydáno: |
Copernicus Publications
2016-06-01
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| Edice: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| On-line přístup: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/437/2016/isprs-archives-XLI-B7-437-2016.pdf |