Introducing the select and split fuzzy cell Hough transform

In this paper a new variation of Hough transform is proposed. The parameter space of Hough transform is recursively roughly split into fuzzy cells which are defined as fuzzy numbers. This fuzzy partition of the parameter space provides the advantage to use the uncertainty of the contour points location, which is increased when noisy images have to be used. It can be used to detect contours in an image, with better accuracy, especially in noisy images. Moreover, the regions of the parameter space having no contours are rejected during the iterations. As a result the computation time is significantly decreased.