@inproceedings{68a56ab369684cce8c5acd4e318a4a5f,
title = "Target detection of automobile engine connecting rod image based on sub-pixel level",
abstract = "The quality of connecting rod of automobile engine directly affects the transmission performance of engine and is an important factor affecting the safety of automobile.Target detection is a key technology that affects the precision of multi-parameter identification of automobile engine connecting rod mass based on machine vision. This paper proposes a sub-pixel-based target detection method for automobile engine connecting rod image. A multi-parameter detection image acquisition system for automobile engine connecting rod quality was built. Based on multi-threshold analysis to eliminate image shadows, a Gaussian homomorphic filter was designed to enhance the contrast between the image target and the background. Subpixel level analysis and Hough transform are used to detect straight line, circle and other objects in engine connecting rod images, which provides a basis for automatic identification of multi-parameter connecting rod quality based on machine vision. An example of target detection in an engine connecting rod image shows the effectiveness of the proposed method.",
keywords = "Engine connecting rod, Gaussian homomorphic filter, Multi-threshold analysis, Sub-pixel level analysis, Target detection",
author = "Hongjuan Yang and Decai Meng and Lei Wang and Yunchu Zhang and Jianrong Cao",
note = "Publisher Copyright: {\textcopyright} 2021 SPIE.; 2nd International Conference on Computer Vision, Image, and Deep Learning ; Conference date: 25-06-2021 Through 27-06-2021",
year = "2021",
doi = "10.1117/12.2604528",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "\{bin Ahmad\}, \{Badrul Hisham\} and Fengjie Cen",
booktitle = "2nd International Conference on Computer Vision, Image, and Deep Learning",
address = "美国",
}