Edge detection to guide range image segmentation by clustering techniques

Author(s):  
O.R.P. Bellon ◽  
A.I. Direne ◽  
L. Silva
2002 ◽  
Vol 9 (2) ◽  
pp. 43-45 ◽  
Author(s):  
O.R.P. Bellon ◽  
L. Silva

2013 ◽  
Vol 860-863 ◽  
pp. 2783-2786
Author(s):  
Yu Bing Dong ◽  
Hai Yan Wang ◽  
Ming Jing Li

Edge detection and thresholding segmentation algorithms are presented and tested with variety of grayscale images in different fields. In order to analyze and evaluate the quality of image segmentation, Root Mean Square Error is used. The smaller error value is, the better image segmentation effect is. The experimental results show that a segmentation method is not suitable for all images segmentation.


1988 ◽  
Author(s):  
Jia-Guu Leu ◽  
Ishwar K. Sethi

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