说明：  对具高噪声和低对比度三维图像的识别和分割算法进行了研究。基于活动轮廓模型,用Gabor变换提取图像的纹理特征,根据统计学信息假设,通过偏微分方程水平集和窄带方法求解,获得较基本活动轮廓的算法分割更光滑精确的物体轮廓
(To a high noise and low contrast 3 d image recognition and segmentation algorithm was studied. Based on the active contour model, with Gabor transform to extract image texture feature, according to the statistics information hypothesis, through the partial differential equation of the level set and narrow band method, get a basic active contour algorithm segmentation more smooth accurate object contour)