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A Critical Overview of Image Segmentation Techniques Based on Transition Region

A Critical Overview of Image Segmentation Techniques Based on Transition Region
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Author(s): Yu-Jin Zhang (Tsinghua University, China)
Copyright: 2019
Pages: 13
Source title: Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7368-5.ch026

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Abstract

Image segmentation is the key step from image processing to image analysis, and it is an important technique of image engineering. Image segmentation based on transition region is a special or distinctive type of technique that are different from traditional boundary-based or region-based techniques. Since the first technique using transition region proposed, there are many subsequent related researches and applications, and a series of papers in the literature citing are published worldwide. Using Google Scholar, a number of papers citing the original papers are searched, and a study on the statistics of these papers is conducted. These papers are sorted first according to the publishing year, and then grouped according to their purposes and contents (with techniques used). Some questionable issues in these papers are pointed out and critically discussed, and several further research directions are indicated and analyzed.

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