Stroke Detection in Brain Using CT Images

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 324)

Abstract

Computed tomographic (CT) images are widely used in the diagnosis of stroke. The objective is to find the stoke area from a CT brain image and also improve the visual quality. The proposed algorithm helps to detect the stoke part in the absence of radiologist or doctors. Seed region growing (SRG) technique is the most popular method for segmentation of medical images because of high-level knowledge of anatomical structures in seed selection process. The proposed method consists of three steps: preprocessing, feature extraction, and segmentation. Feature extraction is done based on texture using the Gabor filter, and segmentation is done using SRG algorithm.

Keywords

Wiener filter Histogram equalization Gabor filter Seed region growing algorithm 

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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Computer Vision and Image Processing, Department of Computer ScienceAmrita Vishwa Vidyapeetham UniversityCoimbatoreIndia

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