HSV Based Histogram Thresholding Technique for MRI Brain Tissue Segmentation

  • T. Priya
  • P. Kalavathi
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 968)


Background: To bring it as a human interactive perceive color process, an automatic color model based segmentation of White Matter (WM), Gray Matter (GM), and Cerebrospinal Fluid (CSF) in Magnetic Resonance Brain images is proposed in this paper.

Methods: Preprocessing process is done for the MRI brain images using wavelet based bivariate shrinkage method and Contour based Brain Segmentation method (CBSM). Then segmentation of brain tissues using Hue Saturation Value (HSV) color model Based Histogram Thresholding Technique (HSVBHTT) was applied. Normal and Alzheimer’s disease (AD) brain images obtained from Internet Brain Segmentation Repository (IBSR) and Minimal Interval Resonance Imaging in Alzheimer’s Disease (MIRIAD) datasets.

Results and Conclusions: The results of proposed method was analyzed with similarity measures and quantitative measures like Jaccard (J), Dice (D), Sensitivity (S) and Specificity (SP) and compared with the manual segmented images which produced better results on segmenting WM, GM and CSF compared to other existing methods.


Alzheimer’s Disease Brain tissue segmentation Histogram Thresholding HSV color model 



This work was supported by Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India.


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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer Science and ApplicationsThe Gandhigram Rural Institute - (Deemed to be University)GandhigramIndia

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