Baza Publikacji Pracowników Politechniki Lubelskiej

Status:
Autorzy:	Smołka Jakub, Skublewska-Paszkowska Maria, Wojdyga Aleksander
Rok wydania:	2012
Wersja dokumentu:	Drukowana
Język:	angielski
Numer czasopisma:	58
Strony:	115 - 127
Efekt badań statutowych	NIE
Materiał konferencyjny:	NIE
Publikacja OA:	NIE
Abstrakty:	angielski
	Watershed transformation is an image segmentation method whose main advantage is that it extracts almost all edges present in the image.Moreover all edges are always continuous,which is the algorithm`s main advantage.Unfortunately,the method frequently produces over-segmented images.The authors proposed a solution to the over-segmentation problem in color images.It utilizes hierarchical cluster analisys and treats watersheds as objects characteeized by a number of attributers.This paper presents research on selecting parameters for chuster analysis.The parameter sets that allow for obtaining the greates number of good segmentations of a given test image are selected.Conclusions regarding optimal parameters alongside with selected segmentations are presented.

Selecting optimal parameters for cluster analysis applied to over-segmentation reduction in color images