Target detection of automobile engine connecting rod image based on sub-pixel level

Hongjuan Yang; Decai Meng; Lei Wang; Yunchu Zhang; Jianrong Cao

doi:10.1117/12.2604528

5 October 2021 Target detection of automobile engine connecting rod image based on sub-pixel level

Hongjuan Yang, Decai Meng, Lei Wang, Yunchu Zhang, Jianrong Cao

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 119110H (2021) https://doi.org/10.1117/12.2604528
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

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.

Citation Download Citation

Hongjuan Yang, Decai Meng, Lei Wang, Yunchu Zhang, and Jianrong Cao "Target detection of automobile engine connecting rod image based on sub-pixel level", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 119110H (5 October 2021); https://doi.org/10.1117/12.2604528

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