图像处理与分析在作物水氮亏缺诊断中的应用进展  

Application Progress of Image Processing and Analysis in Water and Nitrogen Deficiency Diagnosis of Crop

作　　者：劳东青[1] 李发永[2] 

机构地区：[1]塔里木大学信息工程学院,阿拉尔843300 [2]塔里木大学水利与建筑学院,阿拉尔843300

出　　处：《现代计算机（中旬刊）》2014年第1期23-26,共4页Modern Computer

基　　金：塔里木大学校长基金硕士项目(No.TDZKSS201208)

摘　　要：随着图像处理与分析技术的蓬勃发展,许多专家学者利用图像获取工具比人眼更精细的分辨能力,应用图像处理与分析技术进行信息诊断研究。简要介绍图像处理与分析技术在作物缺素判别、作物水分亏缺诊断中的应用现状,分析该研究领域存在的主要问题,对其未来发展进行展望,指出从复杂背景中识别出研究目标是前提、难点,高效的目标特征提取算法是关键。With the development of image processing and analysis technology, experts and scholars take advantage of that resolving power of image acquisition tool is better than the human eye＇s, researches on information diagnosis using image processing and analysis. Briefly introduces the application progress of image processing and analysis in diagnosis of crop nutrient deficiency and diagnosis of crop water content; analyzes the main problems existing in the research of diagnosis on crop water content; makes a prospect of its future development, points out that identifying research goal from complex background is the prerequisite as well as difficuhiey in this research area, and efficient target feature extraction algorithm is the key point.

关 键 词：图像处理 图像分析 缺素判别 水分诊断 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]