基于改进的Hough算法的细胞破碎智能监测计数系统  

Research of Cell Lysis Intelligent Monitoring and Counting System Based on the Improved Hough Algorithm

作　　者：蒋峰[1,2] 罗黎明 陈建军 于军 JIANG Feng;LUO Li-ming;CHEN Jian-jun;YU Jun(School of Computer and Information Engineering,Central South University of Forestry and Technology,Changsha,Hunan 410004,China;School of Optics ＆ Electronic Information,Huazhong University of Science and Technology,Wuhan,Hubei 430074,China;School of Science,Huazhong Agriculture University,Wuhan,Hubei 430074,China)

机构地区：[1]中南林业科技大学计算机与信息工程学院,湖南长沙410004 [2]华中科技大学光学与电子信息学院,湖北武汉430074 [3]华中农业大学理学院,湖北武汉430074

出　　处：《计量学报》2018年第6期902-907,共6页Acta Metrologica Sinica

基　　金：湖南省教育厅科学研究项目(优秀青年项目)(15B251);湖南省科技计划项目(2016年湖南省科技计划重点研发计划国际与区域科技合作项目)(2016WK2023);中南林业科技大学引进高层次人才科研启动基金计划项目(104-0357)

摘　　要：为提高细胞内产物的产量以及质量,结合机器视觉技术,在传统Hough图像识别算法以及现有的细胞破碎装置的基础上进行改进,提出了一种应用于细胞破碎的智能监测计数系统的设计方案。该方案以光学放大电路、CCD图像传感电路为硬件平台,辅以机器视觉技术、图像处理算法实现对细胞破碎过程的图像监测及计数统计。在线实验监测表明,该智能监测计数系统能够完成对细胞破碎的统计计数,其识别速度相对于标准的Hough图像识别算法提高了近10倍,并能实时捕捉细胞破碎图像,可应用于细胞破碎产物的自动化提取。In order to improve product yield and quality in the cell, based on machine vision technology, the traditional Hough image recognition algorithm and on the basis of the existing cell crushing plant was improved, proposes a project to intelligent monitoring cell broken counting system. This scheme uses optical amplification circuit and CCD image sensor circuit as hardware platform, which is assisted by machine vision technology and image processing algorithm to realize image monitoring and counting statistics of cell crushing process. Cell broken online experiment indicated that the intelligent monitoring and counting system can complete statistical counting of cells broken, and real-time capture of broken images. The recognition speed improves nearly 10 times compared with the standard Hough image recognition algorithm; it can be applied to automated extraction intracellular substances in cell.

关 键 词：计量学 细胞破碎 Hough图像处理算法 图像传感器 智能图像监测 

分 类 号：TB99[一般工业技术—计量学]