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Proceedings Paper

Image Processing On A Versatile VLSI Array Processor
Author(s): Ming-Yang Chern
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Paper Abstract

The CBAP (Cross-Bus Array Processor) is a versatile VLSI array processor which can be used for a variety of matrix operations. It is easy to operate and is more efficient than systolic arrays in many aspects. In this paper, we explore the possibility of applying this VLSI array to image processing. For image feature extraction and pattern classification involving matrix operations, this array processor is obviously simple and effective. With appropriate buffer provision, 2-D convolution can be executed at the raster-scan image acquisition rate. Several neighborhood operations such as thinning, min/max filtering, and median filtering, can be performed as well. Other applications also presented here include finding the largest/smallest k gray levels and multi-threshold region labeling.

Paper Details

Date Published: 11 December 1985
PDF: 8 pages
Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); doi: 10.1117/12.950817
Show Author Affiliations
Ming-Yang Chern, Northwestern University (United States)


Published in SPIE Proceedings Vol. 0579:
Intelligent Robots and Computer Vision IV
David P. Casasent, Editor(s)

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