Systolic array for real-time morphological image processing

Elias S. Manolakos; Jinhong K. Guo

doi:10.1117/12.131373

1 November 1992 Systolic array for real-time morphological image processing

Elias S. Manolakos, Jinhong K. Guo

Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131373
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

In this paper we systematically synthesize a mesh-type VLSI application specific array architecture for real-time morphological image processing. The array can perform dilations, erosion or successive combinations of the two (opening and closing) at video rates. The 2-D image can be gray-level (or binary) and the structuring element of any arbitrary shape, as long as its bounding box is known. A partitioning scheme is proposed that can be used to decompose and match the large size problem to a smaller target array.

Citation Download Citation

Elias S. Manolakos and Jinhong K. Guo "Systolic array for real-time morphological image processing", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131373

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