摘要
通过叶片图像分析植物生长状况是目前农林领域的热点问题之一。此类图像中,如何去除背景干扰,获得视觉兴趣区域是研究的重点内容。为将外界噪声降到最低,本文采用灯箱设备采集植物叶片图像,考虑到人眼视觉特性,将图像划分成a×b个大小相等的分块,计算出各分块图像的视觉影响权重因子,并据此从原始图像中去除背景区域,划分出人眼视觉感兴趣的区域图像;随着a、b取值的不同以及图像提取的不断深入,可极大限度地去除无关背景区域。较之原始图像,利用该方法得到的区域图像符合人眼视觉特征,在图像质量和尺寸大小方面均有改善;为提取植物叶片视觉兴趣区域提供了一种新思路。
Analyzing situation of plant growth from leaf images is one of the hottest issues in the field of agriculture and forestry.How to remove background interference and get region of interest image is important content for this kind of images.In this paper,in order to minimize external noise,use light equipment to acquire leaf images and then evaluate the image quality. According to the characteristics of human vision,image is partitioned into several blocks with equal size.Then abstract the part of interest image from original image by calculating each sub-block image＇s weight of visual impact and mark off region of interest from the original image.With different values of a,b and deepening of image extraction,background region can be greatly removed.Compared to that of original image,image quality and image size for the part of interest image have been improved to some extent.The method based on human visual system,which provides a new way for extraction visual region-of-interest of plant leaf image.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第19期22-25,30,共5页
Computer Engineering and Applications
基金
国家高技术研究发展计划(863)(No.2007AA102Z237)
国家科技支撑项目(No.2007BAD33B05)~~
关键词
植物叶片
图像质量
人眼视觉特性
plant leaf image
image quality
human visual system
