Image segmentation by automatic histogram thresholding
| Autor: | Ruey-Ming Chao, Zi-Chun Chen, Hsien-Chu Wu |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Balanced histogram thresholding
business.industry Segmentation-based object categorization Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Histogram matching Scale-space segmentation Pattern recognition Image segmentation Thresholding Image texture Region growing Computer Science::Computer Vision and Pattern Recognition Histogram Computer vision Segmentation Artificial intelligence Range segmentation business Image histogram |
| Zdroj: | Int. Conf. Interaction Sciences |
| DOI: | 10.1145/1655925.1655951 |
| Popis: | Thresholding is an important technology for image segmentation. Before we get the segmentation thresholds, most segmentation technologies need to set many parameters. This paper presents a method to automatically determine how many thresholds should be set and what the best range of each threshold is for different images. It finds the segmentation threshold by observing the change of the variance values and the mean values of each threshold range in the image histogram. The proposed method needs simple calculation, so that it has less time complexity. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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