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Stroke Detection in Brain Using CT Images

Publication Type : Conference Proceedings

Publisher : Springer India,

Source : Springer India, New Delhi, p.379–386 (2015)

Url :

ISBN : 9788132221265

Keywords : Wiener filter Histogram equalization Gabor filter Seed region growing algorithm

Campus : Coimbatore

School : School of Engineering

Department : Computer Science

Year : 2015

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.

Cite this Research Publication : S. Neethu and Dr. Venkataraman D., “Stroke Detection in Brain Using CT Images”. Springer India, New Delhi, pp. 379–386, 2015.

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