Comparison of several medical image segmentation methods
Shi Hu · Chinese Medical Equipment Journal · 2014
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.