In this paper, we propose an automatic image thresholding method based on an index of fuzziness and a fuzzy similarity measure. This work aims at overcoming the limitation of the existing method which is semi-supervised. Using an index of fuzziness, two initial regions of gray levels located at the boundaries of the histogram are defined based on the fuzzy region. Then the threshold point is found by using a fuzzy similarity measure. No prior knowledge of the image is required. Experiments on practical images illustrate the effectiveness of the proposed method.
['Gulpi Qorik Oktagalu Pratamasunu', 'Zhencheng Hu', 'Agus Zainal Arifin', 'Anny Yuniarti', 'Dini Adni Navastara', 'Arya Yudhi Wijaya', 'Wijayanti Nurul Khotimah', 'Akira Asano']
Image thresholding based on index of fuzziness and fuzzy similarity measure