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Record type:	stať ve sborníku (D)
Home Department:	Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:	Segmentation Algorithm Inspired by Fuzzy Transform
Citace	JANEČEK, J., Valášek, R. a Perfiljeva, I. Segmentation Algorithm Inspired by Fuzzy Transform. In: ISCAMI 2019: Proceedings of the 20th International Student Conference on Applied Mathematics and Informatics 2019-05-16 Praha. Praha: České vysoké učení technické v Praze, 2019. s. 40-41.

Subtitle
Publication year:	2019
Obor:	Informatika
Number of pages:	2
Page from:	40
Page to:	41
Form of publication:	Tištená verze
ISBN code:	neuvedeno
ISSN code:
Proceedings title:	Proceedings of the 20th International Student Conference on Applied Mathematics and Informatics
Proceedings:	Mezinárodní
Publisher name:	České vysoké učení technické v Praze
Place of publishing:	Praha
Country of Publication:	Sborník vydaný v ČR
Název konference:	ISCAMI 2019
Místo konání konference:	Praha
Datum zahájení konference:
Typ akce podle státní příslušnosti účastníků:	Celosvětová akce
WoS code:
EID:

Key words in English:	clustering, dimensionality reduction, image segmentation
Annotation in original language:	In our research, we concentrate on different aspects of the dimensionality reduction problem. One of its practical implementations is the image segmantation problem, that is a task to find several parts of a grayscale image that belong together (form one object). We present a segmentation algorithm that utilizes three fuzzy transform components for selecting suitable subareas of the image and then the well-known k means clustering is applied.
Annotation in english language:

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