|
|||||
|
|
| 基于计算机视觉的全自动原木板材分检系统研究 | |
| 引用本文： | 胡跃明,戚其丰,劳卫伦. 基于计算机视觉的全自动原木板材分检系统研究[J]. 林业机械与木工设备, 2005, 33(8): 12-15 |
| 作者姓名： | 胡跃明 戚其丰 劳卫伦 |
| 作者单位： | 华南理工大学自动化科学与工程学院,广东,广州,510640 |
| 摘 要： | 原木板材的颜色纹理检测以及分类是木质产品生产过程中的一道重要工序。本文讨论分析了板材检测分类系统的硬件设计和系统涉及的算法，在分析不同聚类分析方法的基础上，提出了采用最大最小距离聚类法实现板材聚类，并对有关算法进行了软件设计和相关的实验研究，表明了算法的有效性。 |
| 关 键 词： | 板材 颜色 纹理 特征提取与选择 聚类分析 |
| 文章编号： | 1001-4462（2005）08-0012-04 |
| 收稿时间： | 2004-10-08 |
| 修稿时间： | 2004-10-08 |
Raw Wood Material Sorting System Based on Computer Vision |
|
| HU Yue-ming,QI Qi-feng,LAO Wei-lun. Raw Wood Material Sorting System Based on Computer Vision[J]. Forestry Machinery & Woodworking Equipment, 2005, 33(8): 12-15 | |
| Authors: | HU Yue-ming QI Qi-feng LAO Wei-lun |
| Abstract: | The detection and classification of the wood material is one of the important procedures in the manufacture process of the woody products. This paper not only introducesd the hardware design of the system, but also discussed the algorithms used for the detection and classification in detail. In addition, based on analyzing different clustering analysis methods, the biggest and lest distance clustering algorism was brought forward to realize the wood material clustering. |
| Keywords: | wood material colour texture feature extration and selection clustering analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |