基于图像矩的板材细胞图像取样方法研究

Research of Wood Cell Sampling Method Based on Image Moments

精确识别细胞的前提是细胞采样。利用图像矩的旋转不变性和平移不变性,提出利用图像矩的概念对细胞进行采样处理,进而提取细胞的相关数学参数。首先利用动态阈值的方法分割灰度化后的细胞图像;然后利用图像细化算法对粘连细胞进行分割处理;最后利用图像矩提取样本细胞。实验证明该方法有较好的稳定性和鲁棒性。

Accurate cell identification is based on accurate sampling of cell images.This paper put forward that using the concept of image moments samples cell image and extracts mathematical features of wood cells based on rotational and translation invariance.We first grayed colored images and splited cell images with dynamic threshold segmentation method preliminarily,then implemented segmentation process for adherent cells with adherent cell segmentation method based on image thinning,finally extracted sample cells with the concept of image moments and completed the sampling work.The experiment proves that this algorithm has a good stability and robustness.