Abstract
In this paper a problem of soft image segmentation is considered. An approach for segmenting images of heat-emitting specimens is introduced. Proposed algorithm is an extension of fuzzy C-means (FCM) clustering method. Results of applying the algorithm to exemplary images of heat-emitting specimens are presented and discussed. Moreover the comparison with results of standard fuzzy C-means clustering is provided.
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Fabijańska, A. (2009). A Fuzzy Segmentation Method for Images of Heat-Emitting Objects. In: Bayro-Corrochano, E., Eklundh, JO. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2009. Lecture Notes in Computer Science, vol 5856. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10268-4_26
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DOI: https://doi.org/10.1007/978-3-642-10268-4_26
Publisher Name: Springer, Berlin, Heidelberg
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