•  



Detection and Segmentation of Ischemic Stroke Using Textural Analysis on Brain CT Images
احسان صبحي نعمة
Authors : Alyaa Hussein Ali, Shahad Imad Abdulsalam, Ihssan Subhi Nema
Abstract— The detection of the brain strokes from Computed Tomography CT images needs convenient processing technique starting from image enhancement to qualify the brain image by isolation process, region growing and logical operators (OR and AND). Morphological techniques (opening and close) with the logical operator produce a good result. These results with the help of the simplest segmentation process, which is the thresholding process, are used to extract a stroke region from the CT image of the brain. The median filter is applied to remove the noise from the image. The statistical features calculated using first-order histogram were utilized in the detection of the stroke region.

(FULL ARTICLE LINK) Read more ...
February-2015