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：2015
卷号：3
期号：5
DOI：10.15680/ijircce.2015.0305089
出版社：S&S Publications
摘要：In the current paper, a simple algorithm is proposed that employs an efficient and unique histogramanalysis. A fundamental component of this analysis is an algorithm that partitions a histogram based on the position ofthe maximum deviation from a Gaussian fit. In the first step, the proposed partitioning algorithm is applied to delimitthe highest peak in the gray-level histogram, aiming at identifying and discarding the background region. In the secondstep, Gaussian distribution is applied twice to the histogram of the head. The goal is to find two thresholds thatencompass the gray-level range of the brain tissues and partition the histogram into two regions. A rough binary maskis then generated. Finally, a sequence of binary morphological operations is applied to the mask in order to completelyisolate the brain. The significance of the work lies in the fact that it can successfully remove the unwanted regionsfound in Otsu’s method.
