Abstract
Aimed at the puzzle that the edge of industrial computerized tomography image is difficult to realize accurate measure for nondestructive inspection in work-piece, which is resulted from over-segmentation phenomenon when adopted traditional watershed algorithm to segment the image, the chapter proposed a sort of new improved image segmentation algorithm based fuzzy mathematical morphology. In the paper, it firstly smoothed the image by means of opening-closing algorithm based fuzzy mathematical morphology, and then it computed the gradient operators based on the mathematical morphology, after that it segmented the gradient image to get the result based on fuzzy mathematical morphology. And finally it made the assemblage measure inspect for large-complex workpiece. The result of simulation experiment shows that it is better in eliminating over segmentation phenomenon, and more applicable in image recognition.
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Ao, Ch., Xiao, C., Yang, Xy. (2014). Algorithm of Geometry-Feature Based Image Segmentation and Its Application in Assemblage Measure Inspect. In: Cao, BY., Nasseri, H. (eds) Fuzzy Information & Engineering and Operations Research & Management. Advances in Intelligent Systems and Computing, vol 211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38667-1_42
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DOI: https://doi.org/10.1007/978-3-642-38667-1_42
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