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A Segmentation Approach Using Level Set Coding for Region Detection in MRI Images

  • Virupakshappa
  • Basavaraj Amarapur
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 490)

Abstract

Computer-aided diagnosis (CAD) systems for identifying brain tumor region in medical study have been investigated by various methods. This paper introduces an approach in computer-aided diagnosis for identification of brain tumor in early stages using level set segmentation method. The skull stripping and histogram equalization techniques are used as the processing techniques for the acquired image. The preprocessed image is used to segment region of interest using level set approach. The segmented image is fine-tuned by applying morphological operators. The proposed method gives better Mean Opinion Score (MOS) as compared to conventional level set method.

Keywords

Image segmentation MRI sample Level set (LS) coding Mean Opinion Score (MOS) 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringAppa IETGulbargaIndia
  2. 2.Department of Electrical and Electronics EngineeringPoojya Doddappa Appa College of EngineeringGulbargaIndia

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