Algorithm Research of Stone Contour Extraction Based on Computer Vision Theory

Yuan Yuan Jin; Xiao Xu Zhao; Min Zhao

doi:10.4028/www.scientific.net/AMR.753-755.2360

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 753-755Algorithm Research of Stone Contour Extraction...

Algorithm Research of Stone Contour Extraction Based on Computer Vision Theory

Abstract:

Stone contour extraction is the major step and key process. It plays a crucial role in real-time optimizing irregular stone cutting and the layout of the material. It is not only important to improve production efficiency and the utilization of the stone, but also to save stone resources. Based on computer vision, this paper studies the algorithm of stone contour extraction. By analyzing image enhancement and filtering, it puts forward the image preprocessing methods of grayscale and median filtering; After comparing the Roberts operator, Sobel operator, Prewitt operator and Laplacian comparison, it can be found that Sobel operator can detect more subtle edge and the detected edge is also great brightness. So the visual effect is more clear. It has the certain inhibition for isolated noise. So Sobel operator of edge detection is used to extract target contour stone in this paper.

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Periodical:

Advanced Materials Research (Volumes 753-755)

Pages:

2360-2363

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.753-755.2360

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Online since:

August 2013

Authors:

Yuan Yuan Jin, Xiao Xu Zhao, Min Zhao

Keywords:

Edge Detection, Image Processing, Sobel Operator, Stone Slabs

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