DocumentCode
1132992
Title
Flexible architectures for morphological image processing and analysis
Author
Loui, Alexander C P ; Venetsanopoulos, A.N. ; Smith, K.C.
Author_Institution
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
Volume
2
Issue
1
fYear
1992
fDate
3/1/1992 12:00:00 AM
Firstpage
72
Lastpage
83
Abstract
An architecture for the efficient and high-speed realization of morphological filters is presented. Since morphological filtering can be described in terms of erosion and dilation, two basic building units performing these functions are required for the realization of any morphological filter. Dual architectures for erosion and dilation are proposed and their operations are described. Their structure, similar to the systolic array architecture as used in the implementation of linear digital filters, is highly modular and suitable for efficient very-large-scale integration (VLSI) implementation. A decomposition scheme is proposed to facilitate the implementation of two-dimensional morphological filters based on one-dimensional structuring elements constructed using the dual architectures. The proposed architectures, which also allow the processing of gray-scale images, are appropriate for applications where speed, size, and cost are of critical significance
Keywords
VLSI; computerised picture processing; digital filters; digital signal processing chips; parallel architectures; pipeline processing; VLSI; dilation; erosion; flexible architectures; gray-scale images; high-speed realization; image analysis; modular nonlinear pipeline architectures; morphological image processing; one-dimensional structuring elements; two-dimensional morphological filters; very-large-scale integration; Buildings; Costs; Filters; Image analysis; Image processing; Machine vision; Real time systems; Systolic arrays; Throughput; Very large scale integration;
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/76.134373
Filename
134373
Link To Document