DocumentCode
3486427
Title
Edge detection and segmentation for machine vision
Author
Chittooru, Jaswanth ; Munasinghe, Ranjith ; Davari, Asad
Author_Institution
Dept. of Electr. Eng., West Virginia Univ. Inst. of Technol., Montgomery, WV, USA
fYear
2005
fDate
20-22 March 2005
Firstpage
457
Lastpage
461
Abstract
In this paper, we present a novel method called coloring technique for image segmentation. Coloring technique uses the edges detected by the Sobel operator and in many cases successfully identifies the object boundary. This method can be used to eliminate unimportant edges in the background created by clutter and noise while preserving the edges inside the object boundary. The results show that the new method yields superior segmentations compared to conventional segmentation methods.
Keywords
computer vision; edge detection; image colour analysis; image segmentation; Sobel operator; coloring technique; edge detection; image segmentation; machine vision; object boundary; Background noise; Data mining; Digital images; Feature extraction; Histograms; Image edge detection; Image segmentation; Machine vision; Object detection; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 2005. SSST '05. Proceedings of the Thirty-Seventh Southeastern Symposium on
ISSN
0094-2898
Print_ISBN
0-7803-8808-9
Type
conf
DOI
10.1109/SSST.2005.1460957
Filename
1460957
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