一种沉香显微特征提取算法研究

Algorithm on the Extraction of Eaglewood Microscopic Features

文章基于主动轮廓模型对沉香显微图像进行轮廓提取,经过木纤维筛选后,对其几何特征和形状因子等特征进行提取,组成特征向量,并应用支持向量机实现两种实验沉香图像分类,实现应用机器视觉有效的显微特征提取分类算法。

Based on the active contour model, the work conducted contour extraction of eaglewood microscopic micrographs. After the selection of wood fibers, we extracted its geometrical features, shape factors, etc. Feature vectors were composed, with the application of support vector machine to realize the classification of experimental eaglewood images. It can achieve the classification algorithm of microscopic feature extraction.