Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
International Journal of Pattern Recognition and Artificial Intelligence Vol. 17, No. 2 (2002) 1-13
 

Summary: International Journal of Pattern Recognition and Artificial Intelligence
Vol. 17, No. 2 (2002) 1-13
c World Scientific Publishing Company
New binary morphological operations for
effective low-cost boundary detection
Aishy Amer
Concordia University, Electrical and Computer Engineering
1455 de Maisonneuve, West, MontrŽeal, QuŽebec, H3G 1M8, Canada
amer@ece.concordia.ca
http://www.ece.concordia.ca/amer
In this paper, new operational definitions of binary morphological, both conditional
and non-conditional, operations are proposed. The new operations are applied to detect
boundary points from binary images. Comparisons of boundary detection algorithms us-
ing proposed, standard morphological, and gradient-based operations, showing the effec-
tiveness of the proposed operations, are given. Comparative hardware implementations
of standard and proposed morphological operations are also given. Main distinguishing
aspects of the new operations are: high efficiency and low hardware implementation (i.e.,
low number of buffers and D-Flip-Flops).
Keywords: Image segmentation; boundary detection; morphological operations; dilation;
erosion; conditional operation; low-complexity operations.

  

Source: Amer, Aishy - Department of Electrical and Computer Engineering, Concordia University

 

Collections: Engineering