Analysis of Alzheimer Symptoms and Stages Using Canny Edge Detector in Image Segmentation

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 2

Abstract

  Abstract: Alzheimer’s disease is the most common form of dementia.It is a neurological brain disorders. The hippocampus is known to shrink in time due to cell death,and it is linked with increased memory loss,which is a primary symptom of AD.In previous work, the active shape model is use to represent the shape of hippocampus,this model does not accomplish the exact volume of hippocampus. In this paper segmentation done on the hippocampusregion by the canny edge detector algorithm.This algorithm is used to trace the edges of hippocampus region in MRI images and hysteresis thresholding is used to trace the image and the segmented image is measured using voxel based morphometric technique for better result.

Authors and Affiliations

M. Jainab. , M. Phil , Prof. B. Mohamed Faize Basha, MCA. , M. Phil. , , Prof. M. Mohamed Surpudeen, M. sc. , M. Phil.,

Keywords

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  • EP ID EP152513
  • DOI 10.9790/0661-16212105108
  • Views 100
  • Downloads 0

How To Cite

M. Jainab. , M. Phil, Prof. B. Mohamed Faize Basha, MCA. , M. Phil. , , Prof. M. Mohamed Surpudeen, M. sc. , M. Phil. , (2014). Analysis of Alzheimer Symptoms and Stages Using Canny Edge Detector in Image Segmentation. IOSR Journals (IOSR Journal of Computer Engineering), 16(2), 105-108. https://europub.co.uk./articles/-A-152513