Brain image segmentation (MR) using fuzzy classification algorithm Along with the Silhouette method

Subject Areas : Electronics Engineering

Alireza Malahzadeh ¹ (Islamic Azad University, Bushehr Branch)
Amin Javadinasab ² (Young Researchers Club, Islamic Azad University, Bushehr Branch)
Amin Aliabadi ³ (Islamic Azad University, Bushehr Branch)

Received: 2021-05-22 Accepted : 2021-05-22 Published : 2017-06-22

Keywords:

Abstract :

Image segmentation is an essential step in image analysis. This article deals with the segmentation of brain images based on the intensity of brain magnetism. Each medical image of a human contains distinct areas. These areas can be represented by the wavelet coefficient. Classification of these properties can be performed using the fuzzy classification method. Edge recognition techniques have been used to identify the edge in the input image. The Silhouette method has been used to determine the power of the categories. Eventually, the different areas of the image become color-coded and encoded.

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Brain image segmentation (MR) using fuzzy classification algorithm Along with the Silhouette method