A Novel Method of Zero Cross for 3D Biomedical Image Edge Detection
Xiaohai He · Journal of Sichuan University · 2002
In image processing and recognition, zero crossing is a good method for image edge detection. The common methods of zero crossing are Marr and Haralick algorithms. In 3D biomedical image segmentation,the disadvantage of Marr is low speed when a large kernel is used. The disadvantage of Haralick is the difficulty for determining the coefficients of the surface fitting and the orientation of the directional second order derivation. For this reason, the authors propose a new method of zero crossing. In this method, a symmetric second order derivation is first performed. Then a plane fitting is performed to detect zero crossing pixels. The advantage of our method is that the speed is faster than Marr when the kernel is large and the plane fitting can reduce noise.