The Improvement of Generalized Hough Transformation
Fumin Chen · Microcomputer applications · 2006
This paper proposes an improvement of Generalized Hough Transformation. Compared with the traditional method, the new method can reduce requirement of storage by setting reference point on shape edge. Meanwhile, the speed of search for peak is accelerated conspicuously. Theoretically, the requirement of storage is a function based on the complexity of the shape description in the new method. The more accurate and higher level the shape is described, the smaller the storage space is needed. In the end, the improved algorithm is put into the object recognition, and obtains some experimental result.