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Profile-image-based potato three-dimensional modeling method

A 3D modeling and potato technology, applied in 3D modeling, image data processing, special data processing applications, etc., can solve problems such as slow speed, high cost, and low precision, and achieve the effect of avoiding low precision

Active Publication Date: 2018-05-18
ZHEJIANG UNIV
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Problems solved by technology

[0003] In order to solve the problems existing in the background technology, the object of the present invention is to provide a potato three-dimensional modeling method based on contour images, which avoids the shortcomings of common three-dimensional modeling methods such as low precision, high cost, and slow speed, and can quickly and accurately obtain 3D geometric model of potato for further analysis

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  • Profile-image-based potato three-dimensional modeling method
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  • Profile-image-based potato three-dimensional modeling method

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Embodiment Construction

[0040] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0041] Embodiments of the present invention are as follows:

[0042] In this embodiment, the image processing method of the present invention is realized by Matlab software programming, and the process from feature point input to model solidification is realized in Solidworks.

[0043] 1) Place the potato horizontally on the table, and take the first image of the potato with the camera looking down (such as figure 1 a), then rotate the potato by 90° in any direction with the long axis as the axis, and take the second image of the potato by looking down at the camera (such as figure 1 b), and take the upper left corner of the image as the origin, the vertical direction of the image as the x-axis, and the horizontal direction of the image as the y-axis to establish an initial coordinate system ( figure 1 The coordinate system shown in is to differentiat...

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Abstract

The invention discloses a profile-image-based potato three-dimensional modeling method. The method comprises the steps that two potato images with the rotation angles set 90 degrees apart are shot, and then profile extraction and corner point detection are conducted on potato objects in the two images respectively by means of an image processing method; all corner points serve as candidate points,and feature points are obtained through screening. The feature points are calibrated and input into modeling software to generate a potato shape skeleton; finally, closed surfaces are created, collected and materialized, and a potato three-dimensional geometric model is obtained. Accordingly, the defects that an ellipsoidal agricultural material common three-dimensional model method is low in precision, high in cost, low in speed and the like are avoided, the potato three-dimensional geometric model can be rapidly and accurately obtained, and a foundation is laid for further analysis in finite element software.

Description

technical field [0001] The invention relates to a potato image processing method, in particular to a potato three-dimensional modeling method based on a contour image. Background technique [0002] When using finite element analysis (Finite element analysis, FEA) to solve agricultural engineering problems, whether the geometric structure of agricultural materials can be accurately described is a very important factor affecting the results of FEA analysis, especially for irregular shapes and inhomogeneous structures such as potatoes. materials. In order to simplify the calculation, some researchers approximate the shape of irregular materials to regular rectangles, ellipses, cylinders or spheres for analysis. However, such simplification will cause inaccurate simulation results. Some scholars use nuclear magnetic resonance imaging technology combined with image processing methods to model (Sandrom, G., P. Emmanuel and S. Vivianao. Geometry modeling of food materials from ma...

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Application Information

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IPC IPC(8): G06T17/30G06F17/50
CPCG06F30/23G06T17/30
Inventor 饶秀勤高迎旺宋晨波应义斌徐惠荣
Owner ZHEJIANG UNIV
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