首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于多信息处理的肉类新鲜度检测方法研究
引用本文:曲世海,郭培源.基于多信息处理的肉类新鲜度检测方法研究[J].北京工商大学学报(自然科学版),2006,24(5):26-31.
作者姓名:曲世海  郭培源
作者单位:北京工商大学,信息工程学院,北京,100037
摘    要:为找出一种快速、有效、科学的检测肉类新鲜度的方法,分析了肉类新鲜度检测辨识机理,构建了一套基于电子信息技术、光电检测技术、图像处理技术以及神经网络模式识别技术的智能检测辨识系统.通过对猪肉样本的测试与分析表明,该系统可实时准确地识别肉类新鲜度.此外,该方法可应用到其他相关检测领域,研究成果具有重要的现实意义.

关 键 词:光电检测  神经网络  模式识别  肉类新鲜度检测
文章编号:1671-1513(2006)05-0026-06
收稿时间:2005-10-31
修稿时间:2005年10月31日

STUDY ON DETECTION METHOD TO FRESH DEGREE OF MEAT BASED ON MANY MESSAGE DEALING
QU Shi-hai,GUO Pei-yuan.STUDY ON DETECTION METHOD TO FRESH DEGREE OF MEAT BASED ON MANY MESSAGE DEALING[J].Journal of Beijing Technology and Business University:Natural Science Edition,2006,24(5):26-31.
Authors:QU Shi-hai  GUO Pei-yuan
Institution:College of Information Engineering, Beijing Technology and Business University, Beijing 200037, China
Abstract:In order to find a quick valid scientific way to identify meat freshness,the article has analyzed that the measuring mechanism of discerning to fresh degree of meat,and structures one set of Intelligence measures,the system of distinguishing which is based on electronic information technology,Photoelectric detection technique,Treatment technology of the picture and Neural network mode recognition technology.Through the test and analysis of the pork sample it indicates that this system is real-time in discerning the fresh degree of meat accurately.In addition,this method can apply to other relevant fields.The research results have very important reality and long-term meaning.
Keywords:photoelectricity measuring  Neural network  Pattern-recognition  identifying meat freshness
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