This paper presents some aspects of the (gray level) image binarization methods used in artificial vision systems. It is introduced a new approach of gray level image binarization for artificial vision systems dedicat...
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ISBN:
(纸本)9789898111319
This paper presents some aspects of the (gray level) image binarization methods used in artificial vision systems. It is introduced a new approach of gray level image binarization for artificial vision systems dedicated to the specific class of applications for movingscene in industrial automation - temporalthresholding. In the first part of the paper are remarked some limitations of using the global optimum thresholding in gray level image binarization. In the second part of this paper are presented some aspects of the dynamic optimum thresholding method for gray level image binarization. In the third section are introduced the concepts of temporal histogram and temporalthresholding, starting from classic methods of global and dynamic optimal thresholding of the gray level images. In the final part are presented some practical aspects of the temporalthresholding method in artificial vision applications for the movingscene in roboticautomation class;highlighting the influence of the acquisition frequency on the methods results.
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