| 摘要 |
Hough transformation represents an important function in digital image processing. A very important application is the recognition of the courses of edges of objects, which is used, for example, to determine the position of objects for automatic handling machines. Given the fact that a straight line in image space, that is an edge of an object, corresponds to a self-intersecting cluster of straight lines in Hough space, what is necessary for fast interpretation is to find this cluster of straight lines as quickly as possible. For this purpose, the Hough space is treated as image space, so that the very fast hardware which is available for automatic image processing can be used. For implementation, so-called convolution hardware is used, downstream from which a circuit for automatic production of a list of cluster co-ordinates is connected.
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