On the type-1 and type-2 fuzziness measures for thresholding MRI brain images

The result of image thresholding is not always satisfactory due to the disturbing factors like vagueness, non uniform illumination etc and to overcome these problems recently various researchers have proposed fuzzy image thresholding. The linear index of fuzziness for type-1 fuzzy sets by Zenzo et. al. and measure of ultrafuzziness for type-2 fuzzy sets by Tizhoosh has difficulties in handling MRI brain images with one level of gray value as background and other two levels of grayness as white matter and gray matter. Hence this paper proposes new modified thresholding measures for MRI brain images using type 1 and type-2 fuzzy sets. The results show the effectiveness of the proposed modified thresholding measures.