DocumentCode :
2413477
Title :
Morphological edge detection by successive segmentation for thermal images
Author :
Li, Jim S. Jimmy ; Randhawa, Sharmil
Author_Institution :
Sch. of Inf. & Eng., Flinders Univ. of South Australia, Adelaide, SA, Australia
fYear :
2002
fDate :
11-13 Feb. 2002
Firstpage :
365
Lastpage :
369
Abstract :
A morphological edge detection technique using successive segmentation is presented. This method is based on the fact that an existing edge must lie within one or more threshold levels of a grayscale image. The detection of the desired edge is achieved by applying a perimeter function criterion so that the corresponding threshold level is included. The detection of fine edges can be controlled by the number of stages in the process of successive segmentation. It has been shown that our proposed technique performs favourably in terrain-type images when compared with many other well known edge detection algorithms.
Keywords :
edge detection; image segmentation; mathematical morphology; grayscale image; morphological edge detection; perimeter function criterion; successive segmentation; terrain-type images; thermal images; Australia; Cepstrum; Gray-scale; Hidden Markov models; Humans; Image edge detection; Image segmentation; Parameter estimation; Skin; Underwater tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Decision and Control, 2002. Final Program and Abstracts
Conference_Location :
Adelaide, SA, Australia
Print_ISBN :
0-7803-7270-0
Type :
conf
DOI :
10.1109/IDC.2002.995433
Filename :
995433
Link To Document :
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