title: Medical images edge detection based on mathematical morphology.
abstract: Medical images edge detection is an important work for object recognition of the human organs and it is an important pre-processing step in medical image segmentation and 3D reconstruction. Conventionally, edge is detected according to some early brought forward algorithms such as gradient-based algorithm and template-based algorithm, but they are not so good for noise medical image edge detection. In this paper, basic mathematical morphological theory and operations are introduced at first, and then a novel mathematical morphological edge detection algorithm is proposed to detect the edge of lungs CT image with salt-and-pepper noise. The experimental results show that the proposed algorithm is more efficient for medical image denoising and edge detection than the usually used template-based edge detection algorithms and general morphological edge detection algorithms.
authors.affiliation: Institute of Biomedical Engineering, Central South University, Changsha 410083, China.
authors.forename: Zhao
authors.initials: Z
authors.lastname: Yu-Qian
authors.forename: Gui
authors.initials: G
authors.lastname: Wei-Hua
authors.forename: Chen
authors.initials: C
authors.lastname: Zhen-Cheng
authors.forename: Tang
authors.initials: T
authors.lastname: Jing-Tian
authors.forename: Li
authors.initials: L
authors.lastname: Ling-Yun