February 2004edilateEuclidean morphological dilation of binary images Dil = edilate(Img, [radius, form, algorithm]) Img M x N Binary image to be dilated. (0 for background, 1 for object) radius of circular Euclidean structuring element to be used. Defaults to 5. form determines the size of Dil. It assumes be one of the following values: 'same' Dil has the same size as the original image, M x N. The image is assumed to be 0 outside its bounds. 'full' Dil contains the full dilation, (M+2*radius-1) x (N+2*radius-1). The image is assumed to be 0 outside its bounds. algorithm the method to be used: 'cuisenaire pmn' a fast exact linear-time algorithm (default) 'costa-estrozi' or 'exact dilations' a direct exact dilations algorithm Dil Resultant image. Function edilate performs exact euclidean dilation of a binary image Img using a circle as the structuring element. It is implemented in C with state-of-the-art algorithms, optimized for speed. The original image, its binary image obtained by thresholding (padded with a black border for ease of visualization), and its dilation by a radius of 7px: Ricardo Fabbri <ricardofabbri (AT) users DOT sf DOT net> Cuisenaire Cuisenaire, O and Macq, B, "Fast Euclidean Distance Transformation by Propagation Using Multiple Neighborhoods", Computer Vision and Image Understanding, no. 2, vol 76, 163--172, 76, 1999. Chapter 3 of "Distance transformations: fast algorithms and applications to medical image processing", Olivier Cuisenaire's Ph.D. Thesis, October 1999, Université catholique de Louvain, Belgium. Exact Dilations "Multiresolution shape representation without border shifting", L. da F. Costa, and L. F. Estrozi, Electronics Letters, no. 21, vol. 35, pp. 1829-1830, 1999. "Shape Analysis and Classification", L. da F. Costa and R.M. Cesar Jr., CRC Press. The latest version of the Scilab Image Processing toolbox can be found at http://siptoolbox.sourceforge.net dilate erode bwdist thin skel