| Issue |
ITM Web Conf.
Volume 7, 2016
3rd Annual International Conference on Information Technology and Applications (ITA 2016)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 5 | |
| Section | Session 2: Signal and Image Processing | |
| DOI | https://doi.org/10.1051/itmconf/20160702009 | |
| Published online | 21 November 2016 | |
On The Lash Bar Count Algorithm Based on Image Recognition
1 School of Information Engineering, Zhengzhou University, Zhengzhou, HeNan, China
2 Zhengzhou University, Zhengzhou, HenNan, China
3 School of Information Engineering, Zhengzhou University, Zhongzhou, HeNan, China
a 1127556755@qq.com
b iewdzhang@zzu.com
c 779398208@qq.com
This paper solved the problem that lash bars were difficult to be quickly and accurately counted,and proposed a kind of lash bar count algorithm based on image recognition through observation and study of the morphology of lash bars, namely the algorithm that combines cross type algorithm and flexible T type algorithm. Firstly,the color image is processed by graying and threshold method binarization. Secondly,the cross type discriminance is used in the middle section of the binary image. Thirdly,the flexible T type discriminance is used to detect on the boundary. Experimental analysis indicates that the detection algorithm saves time, which can be identified and gives the number of bars in a time less than 3s. The accuracy of bar count is as high as 98%. After joining the artificial modification, it can reach 100%.
© Owned by the authors, published by EDP Sciences, 2016
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