Systolic Arrays for Edge Detection of Image Processing


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 8, pp. 2222-2232, Aug. 1999
10.3745/KIPSTE.1999.6.8.2222,   PDF Download:

Abstract

This paper proposed a Systolic Arrays architecture for computing edge detection on images. It is very difficult to be processed images to real time because of operations of local operators. Local operators for computing edge detection are to be used in many image processing tasks, involve replacing each pixel in an image with a value computed within a local neighborhood of that pixel. Computing such operators at the video rate requires a computing power which is not provided by conventional computer. Through computationally expensive, it is highly regular. Thus, this paper presents a systolic arrays for tasks such as edge detection and laplacian, which are defined in terms of local operators.


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Cite this article
[IEEE Style]
P. D. Won, "Systolic Arrays for Edge Detection of Image Processing," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 8, pp. 2222-2232, 1999. DOI: 10.3745/KIPSTE.1999.6.8.2222.

[ACM Style]
Park Duck Won. 1999. Systolic Arrays for Edge Detection of Image Processing. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 8, (1999), 2222-2232. DOI: 10.3745/KIPSTE.1999.6.8.2222.