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Journal of Computational and Applied Research in Mechanical Engineering - JCARME، جلد ۱۰، شماره ۲، صفحات ۳۹۱-۴۰۴
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عنوان انگلیسی Application of image-based acquisition techniques for additive manufacturing using canny edge detection
چکیده انگلیسی مقاله Edge is an indispensable characteristic of an image, defined as the contour between two regions with significant variance in terms of surface reflectance, illumination, intensity, color, and texture. Detection of edges is a basic requirement for diverse contexts for design automation. This study presents a guideline to assign appropriate threshold and sigma values for the Canny edge detector to increase the efficiency of additive manufacturing. The algorithm uses different combinations of threshold and sigma on a color palette, and the results are statistically formulated using multiple regression analysis with an accuracy of 95.93%. An image-based acquisition technique system is designed and developed for test applications to create three-dimensional objects. In addition, a graphical user interface is developed to convert a selected design of a complex image to a three-dimensional object with the generation of Cartesian coordinates of the detected edges and extrusion. The developed system reduces the cost and time of developing an existing design of an object for additive manufacturing by 20% and 70%, respectively.
کلیدواژه‌های انگلیسی مقاله Edge Detection, Additive Manufacturing, Product Design, Image-Based Acquisition, Cartesian-Coordinates, Industrial Automation
نویسندگان مقاله Ahalya Ravendran |
School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Pathumthani, Thailand.

Suchada Rianmora |
School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Pathumthani, Thailand.

نشانی اینترنتی https://jcarme.sru.ac.ir/article_1062_6f6c86367bea0411fbe957d5e1ddaade.pdf
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