Measuring the Quality Evaluation for Image Segmentation
This paper proposes a measure of quality for evaluating the performance of region-based segmentation methods. Degradation mechanisms are used to compare segmentation evaluation methods onto deteriorated ground-truth segmentation images. Experiments showed the significance of using degradation mechanisms to compare segmentation evaluation methods. Encouraging results were obtained for a selection of degradation effects.
KeywordsImage Segmentation Quality Evaluation Segmentation Process Pixel Number Pepper Noise
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