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Surface defect detection and three-dimensional modeling

A 3D modeling and defect detection technology, applied in the field of image processing, which can solve problems such as accurate reconstruction of models of difficult surface defects

Active Publication Date: 2019-02-15
SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are many defects in the current surface defect detection and 3D modeling technology, and it is difficult to realize the accurate reconstruction of the surface defect part model

Method used

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  • Surface defect detection and three-dimensional modeling
  • Surface defect detection and three-dimensional modeling

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Embodiment Construction

[0068] The present invention will be further described in detail below in conjunction with the embodiments, so that those skilled in the art can implement it with reference to the description.

[0069] It should be understood that terms such as "having", "comprising" and "including" used herein do not exclude the presence or addition of one or more other elements or combinations thereof.

[0070] The key to object surface defect recognition and reconstruction is to establish a three-dimensional contour model of the defect. In this patent, the three-dimensional model construction is realized by finding the top and bottom of object defects and registering the bottom data and top data of three-dimensional defects. The main technical process is: 1. Use RANSAC to accurately identify the location of the defect on the surface, and accurately divide the original point cloud model into two parts: the defect area and the non-defect area. Among them, the defect area is the top of the def...

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Abstract

The invention discloses a surface defect detection and three-dimensional modeling method, comprising the following steps: 1) collecting original surface point cloud data; 2) dividing the original defect point cloud data into defects to obtain a defect-free part and a defect part; 3) registrating a defect-free part to obtain a defect model; 4) performing top segmentation of that defect model; 5) filtering that spurious points on the top of the defect model; 6) smoothing the defect model; 7) Surface modeling, which reconstructs the point cloud defect model to obtain the surface model of the defect region. The surface defect detection and three-dimensional modeling method of the invention can realize the automatic detection of the surface defect of the object to be detected and the automaticconstruction of the three-dimensional model. It can be used to realize the automatic repair of industrial surface, and can be applied to the modeling of skin tissue damage on the surface of human bodyto provide a three-dimensional model for skin three-dimensional printing.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a surface defect detection and three-dimensional modeling method. Background technique [0002] The modeling of surface defects of the object to be detected is a key step in realizing the automatic repair of industrial surfaces; at the same time, this technology combined with 3D image panorama modeling can also be applied to the modeling of skin tissue damage on the surface of the human body, providing a 3D model for 3D skin printing . However, there are many defects in the current surface defect detection and 3D modeling technology, and it is difficult to realize the accurate reconstruction of the surface defect part model. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a surface defect detection and three-dimensional modeling method for the deficiencies in the above-mentioned prior art. [0004] In order...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/33G06T17/00G06K9/62G06T5/00G01N21/88
CPCG06T7/0004G06T7/0012G06T7/344G06T17/00G01N21/8851G01N2021/8887G06T2207/10028G06T2207/20016G06F18/23G06T5/70Y02P10/25
Inventor 戴亚康周志勇耿辰胡冀苏钱旭升
Owner SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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