Comput Math Methods Med - An improved FCM medical image segmentation algorithm based on MMTD.

Tópicos

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Resumo

Image segmentation plays an important role in medical image processing. Fuzzy c-means (FCM) is one of the popular clustering algorithms for medical image segmentation. But FCM is highly vulnerable to noise due to not considering the spatial information in image segmentation. This paper introduces medium mathematics system which is employed to process fuzzy information for image segmentation. It establishes the medium similarity measure based on the measure of medium truth degree (MMTD) and uses the correlation of the pixel and its neighbors to define the medium membership function. An improved FCM medical image segmentation algorithm based on MMTD which takes some spatial features into account is proposed in this paper. The experimental results show that the proposed algorithm is more antinoise than the standard FCM, with more certainty and less fuzziness. This will lead to its practicable and effective applications in medical image segmentation.

Resumo Limpo

imag segment play import role medic imag process fuzzi cmean fcm one popular cluster algorithm medic imag segment fcm high vulner nois due consid spatial inform imag segment paper introduc medium mathemat system employ process fuzzi inform imag segment establish medium similar measur base measur medium truth degre mmtd use correl pixel neighbor defin medium membership function improv fcm medic imag segment algorithm base mmtd take spatial featur account propos paper experiment result show propos algorithm antinois standard fcm certainti less fuzzi will lead practic effect applic medic imag segment

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