摘要
详细介绍了梯度算子法、拉普拉斯算子法和迭代阈值法等3种医学图像分割方法,通过对这3种算法在高斯噪声环境下的图像分割性能进行分析和比较,得到了梯度算子法和拉普拉斯算子法对图像噪声比较敏感,而迭代阈值法对图像噪声相对不敏感的结果,最后指出了在噪声相对较大的医疗图像中可考虑利用迭代阈值法进行分割图像。
Three medical image segmentation methods are described, including gradient opertor, Laplacian opertor and iterative threshold methods. By employing computer simulation method, the image segmentation performances of gradient operator, Laplacian operator and iterative threshold methods are analyzed and compared under Gaussian noise environment. Gradient operator and Laplacian operator methods are sensitive to image noise, while iterative threshold method not. It＇s proposed to apply iterative threshold method to segmenting medical image with noises.
出处
《医疗卫生装备》
CAS
2014年第12期120-121,140,共3页
Chinese Medical Equipment Journal
关键词
梯度算子
拉普拉斯算子
迭代阈值
医学图像分割
gradient operator
Laplacian operator
iterative threshold
medical image segmentation
