A General Identification Process of Moving Cells Based on MATLAB

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This paper proposed and implemented a general identification process of videos containing moving target cells, using mature digital image processing technology and MATLAB simulation tools. The processing steps included video sub-framing, image reading, image preprocessing, target recognition, and etc. For videos containing moving target cells, three groups of experiments were tested to verify the feasibility of the processing algorithm. Results found that the algorithm could accurately identify the targets in the videos. Thus, the presented processing algorithm is acceptable to be a general identification method for videos containing moving targets.

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1981-1986

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Liu Hai-bo., Shen Jing., et al. Digital Image Processing Using Visual C++. Beijing: Machinery Industry Press. (2010).

Google Scholar

[2] Wang Zheng-yong. Decompositon and Compression of AVI Video Images Based on MATLAB. Computer Applications and Software. 2008, 25(5): 117-119.

Google Scholar

[3] Hu Ying and Wang Dong. Image Preprocessing Technology Research Based on MATLAB. Journal of Liaoning Teachers College(Natural Science Edition). 2012, 2: 57-59.

Google Scholar

[4] Wang Jiao-fei. and Wang Shuang-xi. Comparison of image denoising techniques based on MATLAB software. Journal of Gansu Agricultural University. 2011, 46(4): 157-160.

Google Scholar

[5] Li Hui and Jiang Xiu-ming and Gao Dian-bin. and Wang Guo-rui. Application and Study of Matlab in Image Median Filtering. Journal of Tianjin Polytechnic University. 2003, 22(1): 87-88.

Google Scholar

[6] Jiang Jing-tao and Jiang Xue-dong and Li Fu-rong. The Study of Removing Image Noise with Medium Value Filter and Matlab Realization. Journal of Laiyang Agricultural college(Natural Science). 2006, 23(1): 63-65.

Google Scholar

[7] Ma Yong-hui. The Technical Study of Image Segmentation Based on MATLAB. Shanxi Electronic Technology. 2012, (4): 91-92.

Google Scholar

[8] Pan Chun-yu and Lu Zhi-gang and Qin Jia. Research of Image Segmentation Based on Area Threshold. Fire Control & Command Control. 2011, 36(1): 118-121.

Google Scholar