An Error Analysis on Images Using Skeletonization Methods


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Vectorization is the most fundamental operation in interpretation of line drawings and document analysis. There are several reasons for converting image vectorization. Vector data is normally created from existing natural source image like photographs,scanned images. Choosing a best vectorization method that suits the needs of the system is very important. In general, good methods must preserve information like line geometry and intersection junction as far as possible. It is also important to analyze the error and find the accuracy of the result with respect to the original data. We have compared Skeletonization by Mathematical Morphology and Voronoi Diagrams with original image for vectorizing images. Root mean squre error is one of the good methods to analysis an error on original Image, Mathematical Morphology and Voronoi Diagrams. Literature about above said methods is also included in this paper.



Advanced Materials Research (Volumes 403-408)

Edited by:

Li Yuan




N. Daryal and V. Kumar, "An Error Analysis on Images Using Skeletonization Methods", Advanced Materials Research, Vols. 403-408, pp. 4184-4188, 2012

Online since:

November 2011




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