Boundary Surface Detection in 3D Biomedical Images based on Local Gradient Thresholds
This paper proposes a method to detect the boundary surface with continuously changed gradient magnitudes from 3D biomedical images. Instead of selecting a constant gradient threshold, which sometimes cannot correctly separate such boundary surfaces from 3D images, the proposed method adaptivcly computes different local gradient thresholds in different local regions and uses them to detect different boundary surface patches. Using such scheme, the proposed method not only can well detect those boundary surfaces with uniformly high gradient magnitudes, but also can effectively detect the boundary surfaces with continuously varied gradient magnitudes from low to high. The performance of the method is illustrated by many examples from different 3D biomedical images.
Biomedical visualization Boundary surface 3D edge detection Edge tracing Gradient threshold
Pai Wang Liuhang Cheng Bin Lin Lisheng Wang
Institute of Image Processing and Pattern Recognition, Department of Automation, Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing, Ministry of Education of China Shanghai, 200240, P. R. China
国际会议
上海
英文
172-176
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）