Abstract
Instruction systolic arrays have been developed in 1987 [La1] in order to combine the speed and the simplicity of systolic arrays with the flexibility of MIMD parallel computer systems. In this paper a new algorithm for line detection is presented which applies the morphological approach to the well known Hough transform. The quality of its results is significantly higher than that of the classical Hough transform. This new algorithm has been tailored towards the capabilities of the instruction systolic array. It has been implemented on the Systola 1024, the first parallel computer of this particular architecture on the market. Systola 1024 is an low cost add-on board for standard PC's with PCI slots.
Cite
CITATION STYLE
Schmidt, B., Schimmler, M., & Schröder, H. (1997). Morphological hough transform on the instruction systolic array. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1300 LNCS, pp. 798–806). Springer Verlag. https://doi.org/10.1007/bfb0002816
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