首页 | 本学科首页   官方微博 | 高级检索  
     

西瓜子自动分捡系统核心特征提取算法的研究及应用
引用本文:管淼,孙涌,杨峰,赵晔.西瓜子自动分捡系统核心特征提取算法的研究及应用[J].计算机应用与软件,2008,25(3):91-93.
作者姓名:管淼  孙涌  杨峰  赵晔
作者单位:苏州大学计算机科学与技术学院,江苏,苏州,215006
摘    要:以西瓜子为研究对象,设计并实现了一系列特征提取算法,成功应用于西瓜子自动分捡软件系统.软件系统通过提取西瓜子正交长短轴长度、长宽比、面积、表面花纹连通度、黑色区域覆盖度、直方图灰度分布差异等特征值对西瓜子层层筛选,最终分捡出合格瓜子.本系统同人工分捡相比具有客观性强、准确度高、快捷方便的特点.本软件系统的核心技术对其它相关领域亦具有重要的参考价值.

关 键 词:实时拍摄  正交长短轴  花纹连通度  黑色区域覆盖度  直方图灰度分布差异
收稿时间:2006-06-20
修稿时间:2006年6月20日

RESEARCH AND APPLICATION OF CORE CHARACTERISTIC EXTRACTION ALGORITHM FOR AUTO-SEPARATING SYSTEM OF WATERMELON SEEDS
Guan Miao,Sun Yong,Yang Feng,Zhao Ye.RESEARCH AND APPLICATION OF CORE CHARACTERISTIC EXTRACTION ALGORITHM FOR AUTO-SEPARATING SYSTEM OF WATERMELON SEEDS[J].Computer Applications and Software,2008,25(3):91-93.
Authors:Guan Miao  Sun Yong  Yang Feng  Zhao Ye
Affiliation:Guan Miao Sun Yong Yang Feng Zhao Ye(School of Computer Science , Technology,Soochow University,Suzhou 215006,Jiangsu,China)
Abstract:Taking watermelon seeds as the research object a characteristic extraction algorithm is designed and implemented.The algorithm has been successfully applied to the autoseparating system of watermelon seeds,and it has proved to be practicable.Through the extraction of characteristic values like the length of orthogonal long and short axis of the watermelon seeds,the proportion between the length and width,the area,the connection degree of superficial pattern,the coverage degree of black region and the distri...
Keywords:Real-time photography Orthogonal long and short axis Connection degree of superficial pattern Coverage degree of black region Distribution difference of histogram gradation
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号