摘要
为了适应我国人工工业用材林自动化整枝抚育的需要,该文提出一种用于工业用材林自动整枝的立木枝干动态识别系统框架,对人工林侧柏的枝干进行了数字图像采集及处理,利用计算机视觉、图像处理、小波分析技术对图像进行压缩、滤波、分割、消噪及边缘特征提取.同时提出了一种立木枝干计算机自动识别算法,提取立木图像枝干形状、尺寸、弯曲度及相对空间位置关系基本生长特征,即利用模式识别技术验算其与特征数据库的匹配情况,从而达到立木枝干自动识别的目的,为后续的自动识别研究提供了依据.
To meet the demands of automatic pruning machines, this paper presents a new method for dynamic automatic identification of standing tree limbs and capturing the digital images of Platycladus orientalis using the methods of computer vision, image processing, wavelet analysis technology, compressing, filtering, segmentating, denoising and capturing the edge of the picture. Then the authors present an arithmetic for dynamic automatic identification of standing tree limbs, extracting the basic growth characteristics of the standing trees such as the form, size, bend degree and relative space position. That is to use the pattern recognition technology to confirm the relative proportionate relationship matching the database, then achieve the goal for dynamic automatic identification of standing tree limbs.
出处
《北京林业大学学报》
EI
CAS
CSCD
北大核心
2005年第4期86-89,共4页
Journal of Beijing Forestry University
基金
国家自然科学基金项目(30471387)
"948"国家林业局引进项目(200123).
关键词
立木整枝
模式识别
图像处理
小波分析
standing tree pruning, pattern recognition, image processing, wavelet analysis