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20 January 2006 A new algorithm of image segmentation for overlapping grain image
Xun Zhang, Guang Jin, Xiaowei Sun
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Proceedings Volume 6027, ICO20: Optical Information Processing; 602735 (2006) https://doi.org/10.1117/12.668317
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China
Abstract
Image segmentation is primary issue in image processing, at the same time it is principal problem in low level vision in computer vision field. It is the key technology to process image analysis, image comprehend and image depict successfully. Aim at measurement of granularity size of nonmetal grain, a new algorithm of image segmentation and parameters calculation for overlapping grain image is studied. The hypostasis of this algorithm is present some new attributes of graph sequence from discrete attribute of graph, consequently achieve that pick up the geometrical characteristics from input graph, and new graph sequence which in favor of image segmentation is recombined. The conception that image edge denoted with "twin-point" is put forward, base on geometrical characters of point, image edge is transformed into serial edge, and on recombined serial image edge, based on direction vector definition of line and some additional restricted conditions, the segmentation twin-points are searched with, thus image segmentation is accomplished. Serial image edge is transformed into twin-point pattern, to realize calculation of area and granularity size of nonmetal grain. The inkling and uncertainty on selection of structure element which base on mathematical morphology are avoided in this algorithm, and image segmentation and parameters calculation are realized without changing grain's self statistical characters.
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Xun Zhang, Guang Jin, and Xiaowei Sun "A new algorithm of image segmentation for overlapping grain image", Proc. SPIE 6027, ICO20: Optical Information Processing, 602735 (20 January 2006); https://doi.org/10.1117/12.668317
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KEYWORDS
Image segmentation
Image processing
Image processing algorithms and systems
Computer vision technology
Image analysis
Nonmetals
Mathematical morphology
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