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Contour data processing method based on sliding window mean filtering

A mean filtering and sliding window technology, applied in image data processing, measuring devices, instruments, etc., can solve problems such as loss of details, image distortion, random noise in the process of extracting large and complex surface contours, and achieve small standard deviation and variance, Accurate elimination, simple and efficient measurement method

Inactive Publication Date: 2020-05-15
HARBIN INST OF TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] The present invention aims to solve the problems of random noise, image distortion and loss of details in the process of extracting the contours of large complex profiles

Method used

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  • Contour data processing method based on sliding window mean filtering
  • Contour data processing method based on sliding window mean filtering
  • Contour data processing method based on sliding window mean filtering

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specific Embodiment approach 1

[0042] Specific embodiment one: a kind of contour data processing method based on sliding window mean filter of the present embodiment, it is carried out according to the following steps:

[0043] Step 1: Before measuring the contour of the profile, the laser vision sensor is first calibrated, and the two-dimensional pixel image of the computer is restored to the earth coordinates;

[0044] Step 2: Rigidly fix the laser vision sensor and the motion system to ensure that the sensor is always in the common working range during the movement;

[0045] Step 3: establish the communication between the laser vision sensor and the PC control machine, set the sensor parameters, and set the motion system parameters;

[0046] Step 4: Scan the contour image of the workpiece surface to be measured by the image scanning unit, and each scan obtains an array of 512 points, the abscissa range is 0-511, the ordinate range is 0-1023, and the point array is in order according to the abscissa Arra...

specific Embodiment approach 2

[0059] Embodiment 2: The difference between this embodiment and Embodiment 1 is that the laser vision sensor is a linear laser sensor. Others are the same as in the first embodiment.

specific Embodiment approach 3

[0060] Embodiment 3: The difference between this embodiment and Embodiment 1 is that the linear laser sensor is a scanning laser vision sensor or a structured light vision sensor. Others are the same as in the first embodiment.

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Abstract

The invention discloses a contour data processing method based on sliding window mean filtering, and relates to the field of material processing engineering. The invention aims to solve the problems of random noise, image distortion and detail loss in a large complex profile contour extraction process. The contour data processing method based on sliding window mean filtering comprises the steps that a laser vision sensor projects linear stripe light to a target profile, and according to light stripe information received by a light sensing module, space coordinates of a target object are obtained through calibration information of the sensor and laser stripe contour information. The laser vision sensor projects one linear scanning light to the surface of the target object each time to obtain the profile of one section, and the measurement mode is simple and efficient. The method is applied to the field of three-dimensional measurement.

Description

technical field [0001] The invention belongs to the field of material processing engineering, and in particular relates to a method for processing contour data based on sliding window mean filtering. Background technique [0002] With the vigorous development of technologies such as additive manufacturing, 3D reconstruction, VR, AR, and automatic driving, people's requirements for the accuracy, measurement speed, and non-contact of 3D measurement technology and equipment continue to increase. Traditional measurement methods require a lot of It is difficult to meet the requirements of automation and online measurement. For objects with complex shapes and large surface sizes, the operability of traditional measurement methods is significantly reduced, especially for online real-time measurement of large and complex surfaces. [0003] Three-dimensional measurement technology can be traced back to the 1950s. In the early days, it was mainly based on contact three-dimensional me...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01B11/24G06T5/00G06T7/13
CPCG01B11/24G06T7/13G06T5/70
Inventor 雷正龙郭亨通吴世博黎炳蔚孙璐璐王志敏
Owner HARBIN INST OF TECH
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