Quality Evaluation of Honing Surface Groove Features Based on Improved Level-Set Analyses

• An improved level-set model is proposed for honing groove feature segmentation. The Heaviside function approximated using a piecewise linear function. A 30% accuracy improvement over the best-tested algorithms has been observed. folder metal characterization case study validates algorithm’s performance. Honing features of cylinder liner surface contain helpful information on Traditional evaluation methods do not focus features, which significant to functions. Hence, topographical segmentation algorithm and corresponding parameters are needed. This paper proposes an level-set-based extraction. was tested real dataset compared some state-of-art algorithms, including classical height thresholding watershed results show that method robust against initial conditions improves both computational speed. Specifically, Another fold-mental conducted, also validated speed performance algorithm.