边缘阴影和晕圈对基于图像叶面积测量的影响及修正  

Influence and Correction of the Shadow and Halo of Leaf Edge on Image-based Measurements of Leaf Area

作　　者：韩殿元[1] 

机构地区：[1]潍坊学院计算机与通信工程学院,山东潍坊261061

出　　处：《林业资源管理》2010年第3期98-103,共6页Forest Resources Management

基　　金：山东省高等学校优秀青年教师国内访问学者项目资助

摘　　要：叶片边缘阴影和晕圈对基于图像树叶面积测量精度有较大的影响。分析了边缘阴影和晕圈产生的原因,并提出了修正方法。首先将图像由RGB模式转换为Lab模式,基于a,b分量用自适应动态区域生长方法提取粗略的叶片图像。然后用膨胀和腐蚀形态学方法对区域生长结果进行处理,分割出确切的叶片的区域,背景区域和未知区域。最后用改进的马尔可夫随机场方法对未知区域像素进行判断并归类到叶片区域或背景区域。该方法可极大提高叶面积测量的精度。Abstract：The shadow and halo of leaf edge have great influence on measurement accuracy of leaf area. In this paper, the causes of the shadow and halo were analyzed and a correction method was proposed. Firstly, the image color space was transformed from RGB to Lab, and the rough leaf region was abstracted by using the adaptive region growing method. Secondly, the result of region growing was processed by no me rphological dil nted. Finally, ation and erosion and the exact leaf area, background area and unknown area were seg- the pixels of unknown area were classified to the leaf area or the background area with improved MRF. Experiments show that this method can greatly improve the accuracy of leaf area measurement.

关 键 词：图像处理 叶面积测量 Lab颜色模式 区域生长 马尔可夫随机场 

分 类 号：TP278[自动化与计算机技术—检测技术与自动化装置]