摘要
颅内血肿图像的正确分割是血肿三维重建和血肿体积计算的关键,其结果可为医生的临床诊断提供帮助。由于脑部血肿CT图的特性,采用单一的分割方法很难分割出目标区域,首先采用全局阈值对图像预处理,再采用支持向量机(SVM)和水平集(Level Set)相结合的方法分割颅内血肿,方法具有一定的新颖性,经过实验证明,该方法能够自动、较准确地分割颅内血肿。
The correct segmentation of intracranial hematoma image is critical to three-dimensional reconstruction of hematoma and volume calculations of hematoma.The results can help the doctor＇s clinical diagnosis.Because of the characteristics of brain hematoma CT image.The segmentation of target area is difficulty with a single way,this algorithm which combine Thresholding,support vector machine （SVM） and Level Set is proved to be automate and accurate after many experiments.
出处
《工业控制计算机》
2014年第2期61-62,73,共3页
Industrial Control Computer
