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Image Edge Detection Based On Opencv

Guobo Xie and Wen Lu
School of computer, Guangdong University of technology, Guang zhou, China 510006
Abstract—Image processing is one of most growing research area these days and now it is very much integrated with the industrial production. Generally speaking, It is very difficult for us to distinguish the exact number of the copper core in the tiny wire, However, in order to ensure that the wire meets the requirements of production, we have to know the accurate number of copper core in the wire. Here the paper will introduce a method of image edge detection to determine the exact number of the copper core in the tiny wire based on OpenCV with rich computer vision and image processing algorithms and functions. Firstly, we use high-resolution camera to take picture of the internal structure of the wire. Secondly, we use OpenCV image processing functions to implement image preprocessing. Thirdly we use morphological opening and closing operations to segment image because of their blur image edges. Finally the exact number of copper core can be clearly distinguished through contour tracking. By using of Borland C++ Builder 6.0, experimental results show that OpenCV based image edge detection methods are simple, high code integration, and high image edge positioning accuracy. 

Index Terms—OpenCV, image edge detection, morphology, contour tracking.

Cite: Guobo Xie and Wen Lu, "Image Edge Detection Based On Opencv," International Journal of Electronics and Electrical Engineering, Vol. 1, No. 2, pp. 104-106, June 2013. doi: 10.12720/ijeee.1.2.104-106
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