A new approach to fuzzy partitions for image segmentation

Faurous, P.; Pillard, J. P.; Artus, J. C.

doi:10.1109/iembs.1992.5762101

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1996

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Cited by 2 publications

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“…Proposition 2 : using fuzzy logic The former program was using the advantages brought by the reversibility of the transformation without taking care of the other skeleton characteristics. The present approach associates the skeleton to other data such as the levels of activity in the image, and the algorithm of segmentation uses the basis aspects of fuzzy logic [7].…”

Section: Principlementioning

confidence: 99%

Application of skeletonization algorithms for myocardial spect quantification

Scellier¹,

Boire²,

Thouly

et al. 1996

Discrete Geometry for Computer Imagery

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Defect quantification is an important topic in myocardial SPECT. It can be achieved properly only with an automatic and reproducible processing. We propose a new approach lying on the application of discrete geometry and of two aspects of mathematical morphology, namely, skeletonlzation and segmentation. The properties of the skeleton are essential for carrying out segmentation, which uses many sights of uncertain's theory (fuzzy logic). We present the basis of this application with an in-depth analysis of various methods of skeletonization.

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Section: Principlementioning

confidence: 99%