Yuxing Gu1, Di Lu2,*, Weiliang Li3
1. College of Internet of Things Engineering, HoHai University; Changzhou Jiangsu 213022 China
2. College of Internet of Things Engineering, HoHai University; Changzhou Jiangsu 213022 China
3.College of Internet of Things Engineering, HoHai University; Changzhou Jiangsu 213022 China
Digital image processing and analysis technology has been rapidly developed and widely used in today's digital information age, and has shown an important position. Digital image processing technology mainly includes image binarization, edge detection, contour extraction and thread geometric parameters calculation. At the same time, the points on the boundary are sorted, and the transition points in the boundary feature points are detected. Finally, the point boundary polygon is constructed. In the feature description stage, the local features are described, and the image is digitally processed in the computer to obtain the contour of the thread, thereby calculating the geometric parameters of the thread and improving the fidelity of the image quality, which is generally called image restoration technology. Feature detection not only has good matching performance, but also has a lower dimension, which is very beneficial to improve the matching speed of image features. Image enhancement techniques will be used primarily in the pre-processing of tapered threads to improve image quality.
FEATURE DETECTION; DIGITAL IMAGE; SCREW THREAD
Yuxing Gu, Di Lu,Weiliang Li. Research on Detecting Taper Thread Based on Digital Image Processing Technology of Feature Detection. International Journal of New Developments in Engineering and Society (2019) Vol.3, Issue 2: 198-204. https://doi.org/10.25236/IJNDES.19227.
 Yamazaki S, Koyama J, Yamamoto Y, et al.(2014). Research on the Application and Development of Digital Image Processing Technology. Computer Knowledge & Technology, vol. 43, no.1, pp.183–186.
 Hu L, Xiong L, Yu T X(2014). Dynamic Behaviors of Aluminium Foam Analyzed using Digital Image Processing Technology. Key Engineering Materials, vol. 626, pp.258-263.
 Yongchao S, Gongxi Y, Yongqin S, et al. (2014). Texture structure distribution of asphalt pavement surface based on digital image processing technology. Journal of Central South University(Science and Technology), vol. 45, no.11, pp.4075-4080.
 Zhao J, Fan X J, Xu Q(2014). Research on the Simulation of Textile Fabric Pattern Designs Based on Digital Image Processing Technology. Applied Mechanics and Materials, vol. 610, pp.420-424.
 Demircioglu, Pinar(2014). Estimation of surface topography for dental implants using advanced metrological technology and digital image processing techniques. Measurement, no.48, pp.43-53.
 Shi, Yang C(2014). MATLAB-Based Digital Image Processing Technology Research. Applied Mechanics and Materials, 2014, 687-691, pp.3769-3772.
 Peng, Bin Z(2014). Application of Digital Image Processing Technology in the Process of Ceramic Art Image. Applied Mechanics and Materials, vol. 687-691, pp.3738-3742.
 Li, Hui W(2014). Study on the Technology of Digital Image Processing. Applied Mechanics and Materials, vol. 687-691, pp.3555-3558.
 Yang Y,Yang B, Zhu S, et al. (2015). Online quality optimization of the injection molding process via digital image processing and model-free optimization. Journal of Materials Processing Technology, vol. 226, pp.85-98.
 Yu G Q, Sui C M, Sui B D(2014). Applied-Information Technology with Method of Digital Image Noise Processing. Advanced Materials Research, vol. 951, pp.253-256.