1. School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, Hunan 410004, China
2. School of Optics & Electronic Information, Huazhong University of Science and Technology, Wuhan,Hubei 430074, China
3. School of Science, Huazhong Agriculture University, Wuhan, Hubei 430074, China
Abstract：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.
蒋峰,罗黎明,陈建军,于军. 基于改进的Hough算法的细胞破碎智能监测计数系统[J]. 计量学报, 2018, 39(6): 902-907.
JIANG Feng,LUO Li-ming,CHEN Jian-jun,YU Jun. Research of Cell Lysis Intelligent Monitoring and Counting System Based on the Improved Hough Algorithm. Acta Metrologica Sinica, 2018, 39(6): 902-907.
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2018, Vol. 39 
