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Pipeline architectures for recursive morphological operations.

F Y Shih1, C T King, C C Pu

  • 1Dept. of Comput. and Inf. Sci., New Jersey Inst. of Technol., Newark, NJ.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1995
PubMed
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This study presents efficient pipeline architectures for recursive morphological operations, crucial for image processing. Two methods, a systolic array and a parallel program, demonstrate improved computational efficiency and performance tuning.

Area of Science:

  • Computer Vision
  • Image Processing
  • Parallel Computing

Background:

  • Standard morphological operations are sequential and do not depend on image scanning order.
  • Recursive morphological operations introduce a dependency on the image scanning sequence by feeding back output to input pixels.

Purpose of the Study:

  • To introduce efficient pipeline architectures for recursive morphological operations.
  • To address the inherent dependency on scanning sequence in recursive morphology.
  • To enhance computational efficiency in image processing.

Main Methods:

  • Developed an application-specific systolic array architecture for recursive morphological operations.
  • Designed a parallel program for recursive morphological operations on distributed-memory multicomputers.

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Main Results:

  • The systolic array processes an nxn image using 3n cells in 6n-2 cycles with 100% cell utilization.
  • The parallel program's performance is tunable via partition parameters, offering flexibility for distributed systems.

Conclusions:

  • Efficient pipelined architectures for recursive morphological operations have been successfully implemented.
  • Both systolic array and parallel programming approaches offer significant improvements in processing recursive morphological operations.