›› 2012, Vol. 42 ›› Issue (04): 1049-1053.

Previous Articles     Next Articles

Food bacteria auto identification method based on image treatment

SHI Hong-wei1, SHI Yao-wu1, YIN Yong-guang2   

  1. 1. College of Communication Engineering, Jilin University, Changchun 130022;
    2. College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China
  • Received:2011-08-31 Online:2012-07-01 Published:2012-07-01

PDF (PC)

392

Abstract: This paper introduces an image based system which is use to identify and count bacteria in food. The image feature of bacteria is analyzed, and a method to extract the feature is proposed. The method can identify bacteria from the image taken from camera that is fixed on the eyepiece of the microscope. It is also immune to noise that comes from the high-path of the microscope and the measurement of the camera. The proposed method is tested and result shows good performance.

Key words: information processing, bacteria identification, microscopy image, matching filter

CLC Number: 

  • TN911.73
[1] Yin Yong-guang, Ding Yun. A close to real-time prediction method of totalcoliform bacteria in foods based on image identification technology and artificial neuralnetwork[J]. Food Research International, 2009, 42(1):191-199.
[2] 刘侃.鲜奶含菌量快速检测系统.武汉:华中科技大学图像识别与人工智能研究所,2008. Liu Kan. Quick quantitation system for bacteria number in fresh milk.Wuhan:Institute of Pattern Recognition & Artificial Intelligence, Huazhong University of Science and Technology, 2008.
[3] 丁筠 基于生物技术与计算机视觉的食品微生物快速检测研究.长春:吉林大学生物与农业工程学院,2010. Ding Yun. Rapid detection research for microorganisms in food based on biotechnology and computer vision. Changchun:College of Biological and Agricultural Engineering, Jilin University,2010.
[4] 许艳,萧泽新,陈乐庚. 细胞显微图像的处理与识别系统研究[J]. 光学与光电技术 2007,5(2):72-74. Xu Yan,Xiao Ze-xin, Chen Le-geng. Research of cell microscopic image processing and recognition system[J]. Optics & Optoelectronic Technology, 2007,5(2):72-74.
[5] 陈建军,于军,廖红华.细胞显微图像处理研究[J].农机化研究,2011(2):170-172. Chen Jian-jun,Yu Jun,Liao Hong-hua. Research of cell microscopic image processing[J]. Journal of Agricultural Mechanization Research, 2011(2):170-172.
[6] Baker L R. Microscope image comparator[J]. Journal of Modern Optics, 1984,31(6):611-614.
[7] 郑仙斌,徐向东,陆祖康,等.一种用于植物细胞的显微图像处理系统[J].仪器仪表学报, 2002,23(6):655-656. Zheng Xian-bin, Xu Xiang-dong,Lu Zu-kang,et al. A micro image processing system used for cells of plant[J]. Chinese Journal of Scientific Instrument, 2002,23(6):655-656.
[8] 苗振魁,王庆有,刘诗荣,等. 自动显微图像处理系统的研制[J].光学技术,1997(1):43-45. Miao Zhen-kui, Wang Qing-you, Liu Shi-rong,et al. Development of automated microscopic image processing system[J]. Optical Technology, 1997(1):43-45.
[1] YING Huan,LIU Song-hua,TANG Bo-wen,HAN Li-fang,ZHOU Liang. Efficient deterministic replay technique based on adaptive release strategy [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1917-1924.
[2] LIU Zhong-min,WANG Yang,LI Zhan-ming,HU Wen-jin. Image segmentation algorithm based on SLIC and fast nearest neighbor region merging [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1931-1937.
[3] SHAN Ze-biao,LIU Xiao-song,SHI Hong-wei,WANG Chun-yang,SHI Yao-wu. DOA tracking algorithm using dynamic compressed sensing [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1938-1944.
[4] YAO Hai-yang, WANG Hai-yan, ZHANG Zhi-chen, SHEN Xiao-hong. Reverse-joint signal detection model with double Duffing oscillator [J]. 吉林大学学报(工学版), 2018, 48(4): 1282-1290.
[5] QUAN Wei, HAO Xiao-ming, SUN Ya-dong, BAI Bao-hua, WANG Yu-ting. Development of individual objective lens for head-mounted projective display based on optical system of actual human eye [J]. 吉林大学学报(工学版), 2018, 48(4): 1291-1297.
[6] CHEN Mian-shu, SU Yue, SANG Ai-jun, LI Pei-peng. Image classification methods based on space vector model [J]. 吉林大学学报(工学版), 2018, 48(3): 943-951.
[7] CHEN Tao, CUI Yue-han, GUO Li-min. Improved algorithm of multiple signal classification for single snapshot [J]. 吉林大学学报(工学版), 2018, 48(3): 952-956.
[8] MENG Guang-wei, LI Rong-jia, WANG Xin, ZHOU Li-ming, GU Shuai. Analysis of intensity factors of interface crack in piezoelectric bimaterials [J]. 吉林大学学报(工学版), 2018, 48(2): 500-506.
[9] LIN Jin-hua, WANG Yan-jie, SUN Hong-hai. Improved feature-adaptive subdivision for Catmull-Clark surface model [J]. 吉林大学学报(工学版), 2018, 48(2): 625-632.
[10] WANG Ke, LIU Fu, KANG Bing, HUO Tong-tong, ZHOU Qiu-zhan. Bionic hypocenter localization method inspired by sand scorpion in locating preys [J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.
[11] YU Hua-nan, DU Yao, GUO Shu-xu. High-precision synchronous phasor measurement based on compressed sensing [J]. 吉林大学学报(工学版), 2018, 48(1): 312-318.
[12] WANG Fang-shi, WANG Jian, LI Bing, WANG Bo. Deep attribute learning based traffic sign detection [J]. 吉林大学学报(工学版), 2018, 48(1): 319-329.
[13] LIU Dong-liang, WANG Qiu-shuang. Instantaneous velocity extraction method on NGSLM data [J]. 吉林大学学报(工学版), 2018, 48(1): 330-335.
[14] TANG Kun, SHI Rong-hua. Detection of wireless sensor network failure area based on butterfly effect signal [J]. 吉林大学学报(工学版), 2017, 47(6): 1939-1948.
[15] LI Juan, MENG Ke-xin, LI Yue, LIU Hui-li. Seismic signal noise suppression based on similarity matched Wiener filtering [J]. 吉林大学学报(工学版), 2017, 47(6): 1964-1968.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd