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• W2953065629 abstract "An automatic image segmentation procedure is an inevitable part of many image analyses and computer vision which deeply affect the rest of the system; therefore, a set of interactive segmentation evaluation methods can substantially simplify the system development process. This entry presents the state of the art of quantitative evaluation metrics for color image segmentation methods by performing an analytical and comparative review of the measures. The decision-making process in selecting a suitable evaluation metric is still very serious because each metric tends to favor a different segmentation method for each benchmark dataset. Furthermore, a conceptual comparison of these metrics is provided at a high level of abstraction and is discussed for understanding the quantitative changes in different image segmentation results." @default.
• W2953065629 created "2019-06-27" @default.
• W2953065629 creator A5015196852 @default.
• W2953065629 creator A5088008211 @default.
• W2953065629 date "2018-11-05" @default.
• W2953065629 modified "2023-09-27" @default.
• W2953065629 title "Color Image Segmentation Metrics." @default.
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• W2953065629 doi "https://doi.org/10.1201/9781351032742-140000183" @default.

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