Jiang Dai-Hong
School of Information and Electrical Engineering, University of Mining and Technology, Xuzhou, Jiangsu, China
Hua Gang
School of Information and Electrical Engineering, University of Mining and Technology, Xuzhou, Jiangsu, China
ABSTRACT
Image segmentation and contour extraction are key techniques in the computer vision technology. Due for the environmental impact of the coal mine, most of the image are vague and mixed with a large amount of image noise which brought many difficulties to the image contour extraction. Traditional image feature extraction techniques applied directly to the image can not get a satisfied effect. Aiming at the shortcomings of traditional image contour extraction, a practical contour extraction method is introduced. The method combines the characteristics of computer vision technology, based on the improved OTSU image segmentation method, using morphological methods to extract the outline of the binary image characteristics. Experimental results show that the method of processing the image contours have the advantages of strong anti-interference and high accuracy etc. which can meet the needs of practical application.
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How to cite this article
Jiang Dai-Hong and Hua Gang, 2013. Research of Image Contour Extraction Method of Coal Mining Image Based on
OTSU. Information Technology Journal, 12: 2831-2837.
DOI: 10.3923/itj.2013.2831.2837
URL: https://scialert.net/abstract/?doi=itj.2013.2831.2837
DOI: 10.3923/itj.2013.2831.2837
URL: https://scialert.net/abstract/?doi=itj.2013.2831.2837
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