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An image segmentation method using fuzzy-based threshold

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5 Author(s)
F. Wong ; Sch. of Eng. & Inf. Technol., Universiti Malaysia Sabah, Malaysia ; R. Nagarajan ; S. Yaacob ; A. Chekima
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This paper reports on a method of image segmentation using a threshold value determined via fuzzy logic. Image segmentation is the core to pattern recognition or is used as the initial process in many machine vision applications. Images are fuzzy due to the imprecision of gray values and vagueness in various image definitions. The fuzzy-based segmentation reported in this paper is an automated threshold calculation. The threshold value computed by utilizing the histogram of the image and the measure of fuzziness constitute the initial step in the proposed segmentation procedure. The threshold value is then inputted into the "split and merge" method of segmentation. The results of the segmentation procedure are presented in this paper and they show promising output

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Signal Processing and its Applications, Sixth International, Symposium on. 2001  (Volume:1 )

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