摘要
树木树叶绿色色差变化梯度往往反映树龄、树叶的密度、树木的郁闭度、树种的属性等信息。依据Lab空间可以表达自然界中任何一点，其色彩空间比RGB空间还要大，且弥补了RGB和CMYK等模式必须依赖于设备色彩特性的不足的特点，提取和分析了同一树种树叶不同发育时期和不同树种树叶同一发育时期叶色色差变化梯度，验证了同一株树木成熟期叶片颜色最绿，幼年期时叶片颜色最浅，并且不同树种同一发育时期树叶的绿色程度也不同，为进一步研究树木固碳释氧奠定数据基础。
Color difference changes often reflect the age of the trees, foliage density, crown density of trees and the attribute information such as tree species. The Lab space can express any pixel in nature, which is bigger than RGB space, and makes up for the shortcomings that RGB and CMYK, as a model must rely on the equipment color characteristics, etc. In Lab space, the paper analyzes in difference changes gradient of the same tree leaves in different development stages, as well as different tree leaves in the same development period, and proves that the color of the mature leaves is the deepest on the same tree and the color is the most shallow in infancy. In addition, for the different tree leaves in the same development stage, green degree are different. The study will provide data for further research on trees fixing carbon and releasing oxwen.
作者
朱朦
白杰云
任洪娥
ZHU Meng, BAI Jieyun, REN Hong＇e （College of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, China）
出处
《智能计算机与应用》
2011年第2X期55-57,共3页
Intelligent Computer and Applications
基金
国家林业公益性行业科研专项（2010040071）,东北林业大学研究生论文资助项目（STIP10）.
关键词
色差
LAB
固碳释氧
Chromatic Aberration
Lab
Fixing Carbon and Releasing Oxygen
