ITM Web Conf.
Volume 7, 20163rd Annual International Conference on Information Technology and Applications (ITA 2016)
|Number of page(s)||5|
|Section||Session 2: Signal and Image Processing|
|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
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
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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