DocumentCode :
1231452
Title :
Pipeline architectures for recursive morphological operations
Author :
Shih, Frank Y. ; King, Chung Ta ; Pu, Christopher C.
Author_Institution :
Dept. of Comput. & Inf. Sci., New Jersey Inst. of Technol., Newark, NJ, USA
Volume :
4
Issue :
1
fYear :
1995
fDate :
1/1/1995 12:00:00 AM
Firstpage :
11
Lastpage :
18
Abstract :
Introduces efficient pipeline architectures for the recursive morphological operations. The standard morphological operation is applied directly on the original input image and produces an output image. The order of image scanning in which the operator is applied to the input pixels is irrelevant. However, the intent of the recursive morphological operations is to feed back the output at the current scanning pixel to overwrite its corresponding input pixel to be considered into computation at the following scanning pixels. The resultant output image by recursive morphology inherently depends on the image scanning sequence. Two pipelined implementations of the recursive morphological operations are presented. The design of an application-specific systolic array is first introduced. The systolic array uses 3 n cells to process an n×n image in 6 n-2 cycles. The cell utilization rate is 100%. Second, a parallel program implementing the recursive morphological operations and running on distributed-memory multicomputers is described. Performance of the program can be finely tuned by choosing appropriate partition parameters
Keywords :
application specific integrated circuits; digital signal processing chips; distributed memory systems; image processing; mathematical morphology; parallel algorithms; pipeline processing; recursive estimation; systolic arrays; application-specific systolic array; cell utilization rate; distributed-memory multicomputers; efficient pipeline architectures; image scanning; image scanning sequence; input image; output image; parallel program; partition parameters; pipelined implementations; recursive morphological operations; Computer architecture; Gray-scale; Image processing; Mathematics; Morphological operations; Morphology; Partitioning algorithms; Pipelines; Shape; Systolic arrays;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.350817
Filename :
350817
Link To Document :
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