Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network

  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
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