Feature Recongnition And Extraction Of Cylinder Surface Topography Of Commercial Vehicle Based On Combination Of Optimized Level Set Algorithm And Radon Transform

With the improvement of processing technology,the internal surface of the engine cylinder can already realize the processing of specific texture and topography to meet the higher surface functional requirements.The evaluation system based on the two-dimensional contour curve of the surface is difficult to perform a comprehensive functional evaluation of the three-dimensional surface texture features.With the advancement of three-dimensional measurement methods and the rapid development of analysis and evaluation technology,the functional evaluation of the complex topographic features of the engine cylinder surface through the three-dimensional topography data of the surface has also become increasingly mature.Because of the three-dimensional texture features of the engine cylinder honing surface,which have complex geometric shapes and topological structures,blurred feature edge boundaries,and indistinguishable secondary features,it is essential to evaluate key features effectively.In this paper,a complex feature extraction method for engine cylinder surface based on Radon algorithm and optimized level set algorithm is proposed.The main research work is as follows:A method for extracting the location information of groove feature distribution combining optimized Radon algorithm and robust Gaussian regression filtering is proposed.Aiming at the problem that the groove width and dense distribution reduce the directionality of features and affect the extraction accuracy of the Radon algorithm,the centerline of the groove is selected as the mark for position extraction,which improves the accuracy of the Radon algorithm extraction;The depth threshold is used to distinguish features,which eliminates the interference of secondary features in Radon algorithm.A method for extracting the geometric information of the groove features in the honing surface based on the optimization level set algorithm is proposed.Based on the traditional level set algorithm,the energy functional construction method is improved,and the efficiency of the level set algorithm is improved.Compared with the traditional RSF level set algorithm,the improved algorithm has stronger robustness to abnormal parameters and higher feature segmentation efficiency when processing the honing surface topography data.Experiments show that the improved level set algorithm takes only 10% of the time required to fully segment and extract the target.Combining the output of feature extraction and the industry standard for honing surface quality evaluation,the honing surface groove features are evaluated.Based on the three-dimensional surface topography characteristic data,the description of specific shape positions such as honing angle,honing groove distribution density,honing groove width,and honing groove processing integrity in the honing groove network is realized.Compared with the traditional honing surface evaluation method based on the two-dimensional surface profile,the honing surface evaluation based on the three-dimensional shape data is more complete and the description is more comprehensive,which provides a quantitative basis for the judgment of the honing process quality.