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Performance Evaluation on Image Segmentation based on FD-weighed Grey Relational Analysis
By: Lingmei Ai; Jiao He; Miao Ma; Hualei Guo;
2010 / IEEE / 978-1-4244-8231-3
Description
This item was taken from the IEEE Conference ' Performance Evaluation on Image Segmentation based on FD-weighed Grey Relational Analysis ' It is important for the design and the modification of segmentation algorithms to acquire more reasonable evaluation results on image segmentation. The paper proposes an efficient evaluation method, which is based on FD-weighted grey relational analysis. In the method, as far as specific purpose, application circumstance and research interest are concerned, performance indicators are selected first. And then, their relative importance is appointed via Forced Decision method. Finally, segmentation performance are analyzed and sorted on weighted grey relational degrees. Experimental results show that the method is efficient, fast and stable for providing with an overall performance.
Related Topics
Image Segmentation
Fd-weighed Grey Relational Analysis
Performance Evaluation
Shape
Hamming Distance
Algorithm Design And Analysis
Entropy
Artificial Intelligence
Forced Decision
Image Segmentation
Grey Relational Analysis
Performance Evaluation
Performance Evaluation
Forced Decision Method
Image Segmentation
Performance Evaluation
Engineering
Image Segmentation