Edge Detection and Identification for Tooth Saw Butt Joint
Hairol Nizam Mohd Shah · International Journal of Emerging Trends in Engineering Research · 2020
Nowadays, the most well-known autonomous method in recognizing and identifying the edge of a butt joint implements the usage of vision sensor or laser-assisted vision sensor because of its performance and robustness compared to a manual approach.This research paper presents the development of a vision-based method to recognize and identify the edge of a tooth saw butt joint shape.The methodology to recognition and identification edge for tooth saw butt joint shape comprises into four processes: (1) image pre-processing (2) image segmentation (3) morphological (4) edge butt joint feature points representation and description.The edge points for tooth saw butt joint shape that is start point, support point 1 & 2 and the end point represented in x and y coordinates.The edge recognition and identification for tooth saw butt joint shape was obtain using different edge detection techniques such as Sobel, Prewitt, Roberts and Canny edge detection techniques.The repeatability is based on the standard deviation obtain from the average points observed from edge detection techniques.The results show that Canny edge detection technique is the most accurate method compare the others while all the techniques has a high repeatability due to the reliability of the variables obtained