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雾滴显微图像的识别与检测
引用本文:陈益民,张性雄,方文熙,何金成,谢宝贵,吴喜平.雾滴显微图像的识别与检测[J].福建农林大学学报(自然科学版),2006,35(6):665-668.
作者姓名:陈益民  张性雄  方文熙  何金成  谢宝贵  吴喜平
作者单位:1. 福建农林大学机电工程学院
2. 福建农林大学生命科学学院,福建,福州,350002
摘    要:为消除雾滴显微图像光照不均匀、目标物的模糊和变形、提高雾滴显微图像对比度,以及过滤噪声的干扰,运用图像处理和识别技术,从复杂的背景中提取雾滴准确区域,为微雾滴研究与测量提供了一种新方法.

关 键 词:雾滴  显微图像  图像识别
文章编号:1671-5470(2006)06-0665-04
收稿时间:2005-11-28
修稿时间:2006-06-11

Recognition and determination of micro-images of sprayed droplet
CHEN Yi-min,ZHANG Xing-xiong,FANG Wen-xi,HE Jin-cheng,XIE Bao-gui,WU Xi-ping.Recognition and determination of micro-images of sprayed droplet[J].Journal of Fujian Agricultural and Forestry University,2006,35(6):665-668.
Authors:CHEN Yi-min  ZHANG Xing-xiong  FANG Wen-xi  HE Jin-cheng  XIE Bao-gui  WU Xi-ping
Institution:1. College of Mechanical and Electrical Engineering; 2. College of Life Science, Fujian Agriculture and Forestry University, Fuzhou, Fuiian 350002, China
Abstract:In order to wipe off the obscurity and image noise of microscopic image of sprayed droplet and segment the regions of sprayed droplets from images background effectively,a new method was developed to diagnose the microscopic image of sprayed droplets on the basis of digital image processing and pattern recognizing techniques.The method proved to be efficient by practical applications.
Keywords:sprayed droplet  microscopic image  image recognition
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