Image Thresholding Using Differential Evolution
نویسندگان
چکیده
Image thresholding is a challenging task in image processing field. Many efforts have already been made to propose universal, robust methods to handle a wide range of images. This paper introduces a new optimization-based thresholding approach. The optimizer, Differential Evolution (DE) algorithm, minimizes dissimilarity between the input grey-level image and the bi-level (thresholded) image. The proposed approach is compared with a well-known thresholding method, Kittler algorithm, through subjective and objective assessments, and experimental results are provided.
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