Titlebook: Interactive Segmentation Techniques; Algorithms and Perfo Jia He,Chang-Su Kim,C.-C. Jay Kuo Book 2014 The Author(s) 2014 Boundary Detection

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Performance Evaluation,le by users. Nevertheless, there is a gap between this goal and what today’s algorithms can offer. In this chapter, we evaluate the performance of several state-of-the-art interactive segmentation methods with a set of “challenging” images.

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Book 2014lear extraction of objects of interest, whose locations are roughly indicated by human interactions based on high level perception. This book will first introduce classic graph-cut segmentation algorithms and then discuss state-of-the-art techniques, including graph matching methods, region merging

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SpringerBriefs in Electrical and Computer Engineeringhttp://image.papertrans.cn/i/image/470536.jpg

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https://doi.org/10.1007/978-981-4451-60-4Boundary Detection; Clustering Methods; Graph Matching; Graph-cut Segmentation Algorithms; Image Underst

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Interactive Segmentation: Overview and Classification,lization and/or feedback control. A user-friendly segmentation system is required in practical applications. Many recent developments have driven interactive segmentation techniques to be more and more efficient. We give an overview on the design of interactive segmentation systems, commonly-used gr