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A fuzzy segmentation method for images of heat-emitting objects

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5856 LNCS 217-224
DOI: 10.1007/978-3-642-10268-4_26
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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. © 2009 Springer-Verlag Berlin Heidelberg.

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Fabijańska, A. (2009). A fuzzy segmentation method for images of heat-emitting objects. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5856 LNCS, pp. 217–224). https://doi.org/10.1007/978-3-642-10268-4_26

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