文章基本信息

标题：Segmentation and Extraction of Brain Disease in an MRI Image
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作者：Shivakumar M Tavarageri ; PREETHI S
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：4
页码：8112
DOI：10.15680/IJIRCCE.2016.0404324
出版社：S&S Publications
摘要：There are plenty of researches are done on medical imaging system, in this field brain disease extraction in Magnetic Resource Imaging (MRI) is a standard process. From MRI brain images will extract the information regarding disease, during extraction will do detection, localization, tracking, enhancement and recognition of brain disease, this help in finding exact location and size of a tumor or other diseases causing elements. MRI technique helps in collecting the best information about the human soft tissue anatomy. We are adoptive Histogram equalization technique for image enhancement for better picture quality. Adaptive k-means clustering is using for image segmentation, it is used to extract various features of the image, in order to build objects of interest segmented images are merged or split, on these merged and split images analysis and interpretation can be performed. The approach concentrates on the detection of brain diseases part in MRI images
关键词：Histogram equalization technique; Adaptive k-means clustering