Journal
TRIBOLOGY INTERNATIONAL
Volume 122, Issue -, Pages 96-107Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.triboint.2018.02.033
Keywords
Surface roughness; CDSM; Index design; Index evaluation
Categories
Funding
- National Natural Science Foundation of China [71271078]
- Innovation on working methodology of Chinese Ministry of Science Technology [2016IM030300]
- Intelligent Manufacturing Integrated Standardization and New Model Application Project of Chinese Minister of Industry and Information Technology [2016ZXFM02016]
- Independent research work of State Key Laboratory of Advanced Design and Manufacture for Vehicle Body [71675001]
Ask authors/readers for more resources
At present, in machine vision-based roughness measurement methods, indices are mainly designed based on grayscale images without considering the advantages of multidimensional information of color images, which makes the corresponding algorithms complex and inaccuracy. Meanwhile, performance evaluation methods of the image-based indices mainly focus on the prediction accuracy, ignoring the monotonicity, stability and efficiency of the indices. To address these problems, a color image-based indices design and evaluation method is proposed in this article. Two specific indices are designed based on the proposed method. The experimental results prove the feasibility, efficiency and universality of the proposed indices. Besides, the index performance evaluation method can quantitatively and comprehensively characterize the performance of different indices.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available