Reverse engineering of complex surfaces based on a new hierarchical segmentation method

1993 ◽  
Author(s):  
Pierre Boulanger
Keyword(s):  
Reverse Engineering ◽  
Segmentation Method ◽  
Complex Surfaces ◽  
Hierarchical Segmentation

Investigation of complex surfaces of propellers of vehicles by a mechatronic profilograph

2021 ◽  
Vol 23 (4) ◽  
pp. 65-78
Author(s):  
Sergey Vasiliev ◽  
◽  
Viktor Alekseev ◽  
Alyona Fedorova ◽  
Dmitry Lobanov ◽  
...  
Keyword(s):  
Reverse Engineering ◽  
New Technology ◽  
Angular Rate ◽  
Innovative Technology ◽  
Sufficient Information ◽  
Laser Sensor ◽  
Complex Surfaces ◽  
Technological Parameters ◽  
Constant Pitch ◽  
Angle Of Deviation

Introduction. The technology of investigation of screw propellers complex surfaces, which include the marine and aircraft propellers of vehicles, mechatronic profilers for the implementation of reverse engineering, is considered. A review of the scientific literature shows that at present the problem of monitoring complex surfaces of products at various stages of its life cycle requires further research, since the use of available devices and methods does not always provide the necessary accuracy, technological effectiveness and sufficient information on measurements. The purpose of the work is to develop a new technology for studying complex surfaces of propellers, which include marine and aircraft propellers of vehicles by means of a mechatronic profilograph to implement reverse engineering. Methods. The paper considers the implementation of the innovative technology for studying complex surfaces of propellers using the developed mechatronic profilograph. This ingenious mechatronic profilograph is designed to measure the profile and study the shape of complex surfaces of various products, as well as to determine the geometric and morphological parameters of these surfaces. On the basis of theoretical studies the main design and technological parameters are found and the hyperbolic dependence of the angular rate of the laser sensor movement on the scanning radius is determined for the developed mechatronic profilograph. For example, if a constant pitch of the trajectory along the Archimedes spiral is 2 mm, the value of the sensor angular rate should gradually decrease from the maximum value of 2 rad/s to the minimum value of 0.574 rad/s, i.e. by 3.484 times. Results and discussion. It is revealed that the use of cylindrical coordinates for processing the obtained data by a profilograph is logical and has a number of advantages. An express analysis of the propeller surfaces with rotary symmetry is carried out and differences in the shapes of the surfaces of the propeller blades by deviation values in the longitudinal and transverse directions for different radii are established. On the basis of the experimental data, a two-factor power model describing deviations with a determination coefficient of 0.967 is obtained, according to its analysis, it is clear that on average the angle of deviation in the perpendicular direction to the radius  - increases from 0 to 0.3, and the angle of deviation along the radius  increases from 0 to 5.4.

scholarly journals Prior-based Hierarchical Segmentation Highlighting Structures of Interest

2019 ◽  
Vol 3 (1) ◽  
pp. 29-44
Author(s):  
Amin Fehri ◽  
Santiago Velasco-Forero ◽  
Fernand Meyer
Keyword(s):  
Image Segmentation ◽  
Prior Information ◽  
Spatial Information ◽  
Regions Of Interest ◽  
The Other ◽  
Segmentation Method ◽  
Hierarchical Segmentation ◽  
Other Hand ◽  
Major Trend

AbstractImage segmentation is the process of partitioning an image into a set of meaningful regions according to some criteria. Hierarchical segmentation has emerged as a major trend in this regard as it favors the emergence of important regions at different scales. On the other hand, many methods allow us to have prior information on the position of structures of interest in the images. In this paper, we present a versatile hierarchical segmentation method that takes into account any prior spatial information and outputs a hierarchical segmentation that emphasizes the contours or regions of interest while preserving the important structures in the image. Several applications are presented that illustrate the method versatility and efficiency.

A Novel Mesh Segmentation Method for Conventional Engineering Parts in Reverse Engineering

2012 ◽  
Vol 215-216 ◽  
pp. 660-663
Author(s):  
Peng Xin Liu ◽  
Xuan Liu ◽  
Ping Liu
Keyword(s):  
Reverse Engineering ◽  
Mean Shift ◽  
Region Growing ◽  
Mesh Segmentation ◽  
Image Process ◽  
Segmentation Method ◽  
Mean Shift Algorithm ◽  
Noise Data ◽  
Normal Vectors ◽  
Scan Data

In this paper a step segmentation method for conventional engineering parts which usually comprise by simple analytic surfaces and are important investigation objects of reverse engineering is proposed. In the first segmentation fourteen directions are chosen initially, and a k-mean algorithm according to the normal vectors is used, then the surface is divided to form patches by a region-growing scheme. In order to identify simple analytic surface, curvedness of a patch is set as the criterion by which the surface merged into near constant curvedness region. Especially a novel mean shift algorithm is adopted in this method, that a powerful technique for clustering in image process, and is extended to normal filtering while preserving the features to increase robustness of the method. Experimental evaluations using scan data or noise data demonstrate the efficiency of the proposed method.

A Novel 3D Mesh Segmentation Method of Algebraic Models in Reverse Engineering

2009 ◽  
Vol 419-420 ◽  
pp. 661-664
Author(s):  
Peng Xin Liu ◽  
Yang Wang
Keyword(s):  
Reverse Engineering ◽  
Mean Shift ◽  
Region Growing ◽  
Shape Descriptor ◽  
Algebraic Surfaces ◽  
Image Process ◽  
Segmentation Method ◽  
Algebraic Models ◽  
Mean Shift Algorithm ◽  
Noise Data

Conventional engineering parts usually composed by algebraic surfaces are important investigation objects of reverse engineering. In this paper a step segmentation method for algebraic models is proposed. The mesh normals and curvedness of every vertex are estimated as a shape descriptor. In the first segmentation fourteen directions are chosen initially, and a k-means algorithm according to the normal vectors is used, then the surface is divided to form patches by a region-growing scheme, as well as some sharp edges or flat areas are detected. In order to identify algebraic surface, curvedness of a patch is set as the criterion by which the surface merged into near constant curvedness region. Especially a novel mean shift algorithm is adopted in this method, that a powerful technique for clustering in image process, and is extended to normal filtering while preserving the features to increase robustness of the method. Experimental evaluations using scan data or noise data demonstrate the efficiency of the proposed method.

Accuracy control of complex surfaces in reverse engineering

2011 ◽  
Vol 12 (6) ◽  
pp. 1035-1042 ◽  
Author(s):  
Carlos Relvas ◽  
António Ramos ◽  
António Completo ◽  
José António Simões
Keyword(s):  
Reverse Engineering ◽  
Accuracy Control ◽  
Complex Surfaces
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