农业机械学报2012，Vol.43Issue(7)：174-178,155,6.DOI:10.6041/j.issn.1000-1298.2012.07.032
基于近红外图像的温室小型西瓜采摘信息获取技术
Information Acquisition Technique of Mini-watermelon for Harvesting Based on Near-infrared Image in Greenhouse
摘要
Abstract
In order to realize the recognition and localization of the mini-watermelon with stereoscopic cultivation in greenhouse, a machine vision method for acquiring harvesting information of watermelon based on the near-infrared spectral image was presented. By comparing the spectral reflectance of fruit, leaf and stem, a wavelength of about 850 nm was chosen as the best wavelength, of which the images taken at different illumination conditions were tested for fruit recognition. At first, the Otsu threshold algorithm was adopted to eliminate most background information. Then, a template liked circle was used to detect fruit region and reduce the noises. Thirdly, according to the morphological feature, the centroid of fruit was considered as the optimum point for picking and the cutting point was judged by " block-location method". 50 images including fruits and 20 images without fruits were tested by the recognition algorithm, which can satisfactorily detect fruit with a recognition rate of 86% and 95% , respectively, and the accuracy rate of locating algorithm for picking point and cutting point detection was 93. 0% and 88. 4% , respectively, which met the demand of robotic vision system.关键词
西瓜/采摘/近红外图像/信息获取Key words
Watermelon/ Harvesting/ Near-infrared image/ Information acquisition分类
信息技术与安全科学引用本文复制引用
袁挺,纪超,张震华,张俊雄,谭豫之,李伟..基于近红外图像的温室小型西瓜采摘信息获取技术[J].农业机械学报,2012,43(7):174-178,155,6.基金项目
"十二五"国家科技支撑计划资助项目(2011BAD20B07)、国家自然科学基金资助项目(31071320)和高等学校博士学科点专项科研基金资助项目(20090008110007) （2011BAD20B07）
