基于FCM的木材X射线图像缺陷分割  

Defects Segmentation in Wood X-ray Images Based on the FCM

作　　者：李永生[1] 戚大伟[1] 

机构地区：[1]东北林业大学,哈尔滨150040

出　　处：《森林工程》2008年第3期51-52,75,共3页Forest Engineering

基　　金：哈尔滨市重点攻关项目(2007AA1CG062)

摘　　要：在用X射线检测木材缺陷的过程中,很重要的一步就是对图像中的缺陷的提取和分割,其处理的效果直接影响到后面的缺陷识别的正确性。主要是针对木材X射线图像对比度差的特点和固有的模糊性,利用模糊C均值聚类的方法对木材X射线图像进行分割处理,为后续的提取出木材缺陷工作打下基础。In the process of wood defects detection by using x-ray method,the extraction and segmentation of defects in the images are very important.The processing effect has directly impact on the correctness of defects recognition.In this paper,aiming at the bad contrast and fuzziness of the wood x-ray images,the method of fuzzy C-means clustering was used to segment and process the wood images,which provided a basis for the subsequent extraction of the wood defects.

关 键 词：木材X射线图像 图像处理 图像分割 模糊均值聚类 

分 类 号：S781.5[农业科学—木材科学与技术] TH878.1[农业科学—林学]