会议专题

Watershed Segmentation Based on Order Morphological Gradient Reconstruction

A method of watershed segmentation based on morphological gradient reconstructing was proposed. First, the order morphological gradient image was obtained. Second, opening and closing by reconstruction operators were employed to reconstruct the gradient image, and then the standard watershed transformation was used to implement image segmentation. Through order gradient image reconstruction, important region contours are preserved while the most small regular details and noise are removed. The over-segmentation of the standard watershed segmentation is avoided and the region contour bias is also eliminated. Simulations show that the method can efficiently eliminate over-segmentation, and hold the position of region contours without evident bias. The method can produce good segmentation without post segmentation processing, which in some degree reduces the complexity of the segmentation.

image segmentation morphology order morphological transformation morphological reconstruction opening and closing operator

Shijun Li Dongyan Huang He Gong

College of Information and Technology, JiLin Agriculture University ChangChun, 1301101, China

国际会议

2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

厦门

英文

85-87

2010-04-12(万方平台首次上网日期,不代表论文的发表时间)