Abstract
For any positive integer M, M-object fuzzy connectedness (FC) segmentation is a methodology for finding M objects in a digital image based on user-specified seed points and user-specified functions, called (fuzzy) affinities, which map each pair of image points to a value in the real interval [0, 1]. FC segmentation has been used with considerable success on biomedical and other images. We provide a brief presentation of the literature on the topic of FC segmentation.
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Herman, G. T., Kong, T. Y., & Ciesielski, K. C. (2015). Fuzzy connectedness segmentation: A brief presentation of the literature. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9448, pp. 21–30). Springer Verlag. https://doi.org/10.1007/978-3-319-26145-4_2
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