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Model for Enhancement and Segmentation of Magnetic Resonance Images for Brain Tumor Classification

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Abstract

Many a times, the quality of Magnetic Resonance Imaging (MRI) based images get affected by the machines that are utilized to compute them. Hence, in several cases, it is necessary to process each image in order to obtain a corresponding better image so that the patient can be treated with ease and accuracy. According to traditional methods, this objective can be achieved by contrast enhancement or histogram stretching, etc. This paper give a naive approach that can enhance the MRI image, classify the brain tumor type and segment the tumor region for better analysis. For the enhancement, the concept of Discrete Wavelet is used in which an image is decomposed in four sub-bands and each sub-band is processed separately after which Inverse Discrete Wavelet Transform (IDWT) is applied in order to acquire a better quality image. Convolutional Neural Network (CNN) is used to classify the type of tumor present in MRI image. Lastly, after the tumor is detected, it is segmented by using a very efficient method known as K-means Clustering.

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Authors and Affiliations

  1. Computer Science and Engineering Department, Rajarambapu Institute of Technology, 415414, Islampur, Maharashtra, India

    A. M. Chikhalikar & N. V. Dharwadkar

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  1. A. M. Chikhalikar
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Correspondence to A. M. Chikhalikar or N. V. Dharwadkar.

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Additional information

Ashish M. Chikhalikar obtained his B.Tech in Computer Science and Engineering in 2020 from Rajarambapu Institute of Technology, Shivaji University. He has worked on Signal Processing, Image Processing and Machine Learning. He has also completed his training on Blockchain Technology in Center of Artificial Intelligence and Robotics (CAIR), a branch of Defence Research and Development Organization (DRDO), India.

Nagaraj V. Dharwadkar obtained his BE in Computer Science and Engineering in 2000 from Karnataka University Dharwad, his M.Tech in Computer Science and Engineering in 2006 from VTU, Belgaum and PhD in Computer Science and Engineering in 2014 from National Institute of Technology, Warangal. He is a Professor and the Head of the Computer Science and Engineering Department at the Rajarambapu Institute of Technology, affiliated to Shivaji University, Islampur. He has 19 years of teaching experience at professional institutes across India and published 66 papers in various international journals and conferences. His area of research interest is multimedia security, image processing, data mining and machine learning.

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Chikhalikar, A.M., Dharwadkar, N.V. Model for Enhancement and Segmentation of Magnetic Resonance Images for Brain Tumor Classification. Pattern Recognit. Image Anal. 31, 49–59 (2021). https://doi.org/10.1134/S1054661821010065

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