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
Link To Document :
بازگشت