| Paper: | IMDSP-P10.12 | ||
| Session: | Image Analysis | ||
| Time: | Thursday, May 20, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Image and Video Analysis | ||
| Title: | THE USE OF VISIBLE COLOR DIFFERENCE IN THE QUANTITATIVE EVALUATION OF COLOR IMAGE SEGMENTATION | ||
| Authors: | Hsin-Chia Chen; National Chiao Tung University | ||
| Sheng-Jyh Wang; National Chiao Tung University | |||
| Abstract: | In this paper, we propose the use of visible color difference in a new quantitative evaluation scheme for color image segmentation. With visible color difference, two measurements, named intra-region visual error and inter-region visual error, are defined to evaluate the quality of segmentation results. To fit for human’s visual perception, segmentation results with an excessive amount of intra-region error are regarded as under-segmentation, while segmentation results with too many inter-region errors are regarded as over-segmentation. Based on these two measurements, a complete scheme for the evaluation of color image segmentation is proposed. The simulation results demonstrate that this new scheme may provide a reliable and efficient way to automatically select the parameter settings for a given segmentation algorithm or to compare the performance between various segmentation algorithms. | ||
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