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Journal of Mind and Medical Sciences is published by MDPI from Volume 12 Issue 1 (2025). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Valparaiso University (ValpoScholar).
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Article

Brain Image Clustering by Wavelet Energy and CBSSO Optimization Algorithm

by
Mohammad Sedaghat
and
Hasan Hosseinzadeh
*
Department of Mathematics, Ardebil Branch, Islamic Azad University, Ardebil, Iran
*
Author to whom correspondence should be addressed.
J. Mind Med. Sci. 2019, 6(1), 110-120; https://doi.org/10.22543/7674.61.P110120
Submission received: 24 September 2018 / Revised: 20 November 2018 / Accepted: 12 December 2018 / Published: 27 April 2019

Highlights

  • This paper presents a novel method to categorize MRI images into normal and abnormal groups by WE, support vector machin,e and CBSSO optimization method.
  • The efficiency of this approach is confirmed through its comparison with several other methods (BP network, kernel SVM and PSO-KSVM).
  • The WE is also authenticated as an efficient characteristic in the categorization of MRI images.

Abstract

Previously, the diagnosis of brain abnormality was significantly important in the saving of social and hospital resources. Wavelet energy is known as an effective feature detection which has great efficiency in different utilities. This paper suggests a new method based on wavelet energy to automatically classify magnetic resonance imaging (MRI) brain images into two groups (normal and abnormal), utilizing support vector machine (SVM) classification based on chaotic binary shark smell optimization (CBSSO) to optimize the SVM weights. The results of the suggested CBSSO-based KSVM are compared favorably to several other methods in terms of better sensitivity and authenticity. The proposed CAD system can additionally be utilized to categorize the images with various pathological conditions, types, and illness modes.
Keywords: brain tumor; MRI; support vector machine; binary shark smell optimization brain tumor; MRI; support vector machine; binary shark smell optimization

Share and Cite

MDPI and ACS Style

Sedaghat, M.; Hosseinzadeh, H. Brain Image Clustering by Wavelet Energy and CBSSO Optimization Algorithm. J. Mind Med. Sci. 2019, 6, 110-120. https://doi.org/10.22543/7674.61.P110120

AMA Style

Sedaghat M, Hosseinzadeh H. Brain Image Clustering by Wavelet Energy and CBSSO Optimization Algorithm. Journal of Mind and Medical Sciences. 2019; 6(1):110-120. https://doi.org/10.22543/7674.61.P110120

Chicago/Turabian Style

Sedaghat, Mohammad, and Hasan Hosseinzadeh. 2019. "Brain Image Clustering by Wavelet Energy and CBSSO Optimization Algorithm" Journal of Mind and Medical Sciences 6, no. 1: 110-120. https://doi.org/10.22543/7674.61.P110120

APA Style

Sedaghat, M., & Hosseinzadeh, H. (2019). Brain Image Clustering by Wavelet Energy and CBSSO Optimization Algorithm. Journal of Mind and Medical Sciences, 6(1), 110-120. https://doi.org/10.22543/7674.61.P110120

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