CAJ | 학술논문

针对脑部核磁共振图像分割问题，提出了一种直方图梯度计算方法。首先，对 MR 图像的直方图进行平滑处理，从而去除三个体素中出现的最低灰度级；然后，在预处理后的直方图上计算梯度；最后，计算对象数和其所在位置的梯度，并对图像进行自动分割。基于直方图处理进行梯度计算，大大降低了计算复杂度。在 T2加权脑部 MR 图像上的实验结果表明，该方法可以有效地从二维和三维图像中提取出主要脑部区域，并在临床环境中获得的人类脑部 MR 图像上成功实施，分割效果优于其他几种现有分割算法。
침대뇌부핵자공진도상분할문제，제출료일충직방도제도계산방법。수선，대 MR 도상적직방도진행평활처리，종이거제삼개체소중출현적최저회도급；연후，재예처리후적직방도상계산제도；최후，계산대상수화기소재위치적제도，병대도상진행자동분할。기우직방도처리진행제도계산，대대강저료계산복잡도。재 T2가권뇌부 MR 도상상적실험결과표명，해방법가이유효지종이유화삼유도상중제취출주요뇌부구역，병재림상배경중획득적인류뇌부 MR 도상상성공실시，분할효과우우기타궤충현유분할산법。
For the issues of magnetic resonance images segmentation,this paper proposed a method based on histogram gra-dient calculation.Firstly,it smoothed the histogram of MR image so as to remove the lowest grayscale of three individuals. Then,it calculated the gradient on the preprocessed histogram.Finally,it segmented the image after calculating successfully number of objects and their gradients in which they lay.The proposed method was purely based on histogram processing for gra-dient calculation,so the computational complexity was reduced greatly.Experimental results on T2 weighted MR brain images show that the primary brain areas are extracted out efficiently from 2D and 3D images by the proposed method which has been successfully implemented on human brain MR images obtained in clinical environment.It has better segmentation efficiency than the several existing segmentation algorithms.