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A method and device for image acquisition and reconstruction based on machine vision

An image acquisition and machine vision technology, applied in the field of image processing, can solve problems such as poor fidelity, low precision, and too small image format

Active Publication Date: 2019-02-12
DONGGUAN CHITECS ELECTRONICS TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The present invention aims at the deficiencies in the prior art, and provides a method and device for image acquisition and reconstruction based on machine vision to solve the problems of low precision, poor fidelity effect and too small image size in existing image acquisition or reconstruction. question

Method used

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  • A method and device for image acquisition and reconstruction based on machine vision
  • A method and device for image acquisition and reconstruction based on machine vision
  • A method and device for image acquisition and reconstruction based on machine vision

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Embodiment 1

[0113] Embodiment 1: The machine vision-based image acquisition and reconstruction method provided in this embodiment includes the following steps:

[0114] 1) Using a full-frame image digital acquisition instrument, through the set image acquisition mechanism, image acquisition of the material to be tested with a specific shape or pattern information;

[0115] 2) Set up an image processing mechanism to sequentially process the collected images as follows:

[0116] a) CIS splicing processing;

[0117] b) Image consistency correction processing;

[0118] c) High-precision image resampling processing;

[0119] d) Bitmap to vector processing, and output the obtained vector data;

[0120] 3) According to the output vector data, vectorized reconstruction of the specific shape or set pattern information of the material to be tested.

[0121] See Figure 1-Figure 2 , The said full-frame image digital acquisition instrument includes a platform 1 and an image acquisition mechanism 2 arranged in rel...

Embodiment 2

[0212] Embodiment 2: The machine vision-based image acquisition and reconstruction method and device provided in this embodiment are basically the same as the embodiment 1. The machine vision-based image acquisition and reconstruction method is the same as the embodiment, and the machine vision-based The differences between the image acquisition and reconstruction methods are:

[0213] See Figure 3-6 The said full-frame image digital acquisition instrument includes a platform 1 and an image acquisition mechanism 2 set in relative motion with the platform. The image acquisition mechanism 2 is provided with an image acquisition combination camera 21 formed by successively arranging and stitching several image sensors. The image sensor is a CIS linear image sensor. The image acquisition combined camera 21 is set on the image acquisition mechanism 2 through a lifting mechanism 22, which can be moved up and down to adjust the distance relative to the platform 1. The lifting mechanism...

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Abstract

The invention discloses an image acquisition and reconstruction method based on machine vision. The method comprises the following steps: 1) through an image acquisition mechanism set by a full image digital acquisition instrument, image acquisition is carried out on a to-be-detected material with a specific shape or set pattern information; 2) an image processing mechanism is set to carry out the following substeps on an acquired image: a) CIS stitching processing, b) image consistency correction processing, c) image high-precision re-sampling processing and d) bitmap-to-vector processing to acquire and output vector data; and 3) according to the outputted vector data, vector reconstruction is carried out on the specific shape or the set pattern information of the specific shape. The invention also discloses a device for implementing the above method. Automatic image stitching can be realized, a perfect wide image can be presented, fast image correction is realized, the image contour edge detail fidelity capability is high, the bitmap-to-vector algorithm can complete accurate extraction on a bitmap contour of a scanned object, and a high-precision contour image can be acquired.

Description

Technical field [0001] The invention relates to the technical field of image processing, in particular to a method and device for image acquisition and reconstruction based on machine vision. Background technique [0002] At present, the images obtained after image collection are generally of relatively small format, such as A4 / A3 format scanners or digitizers, etc. The images that can be collected are generally relatively thin drawings, etc., for relatively thick physical items, such as shoe soles The shape of other physical objects cannot be scanned accurately. [0003] In order to realize the full-frame image scanning of the real object, it is currently necessary to align multiple CIS image sensors for photographing and scanning to form a strip-shaped image acquisition combination camera. The images scanned by each CIS are sequentially combined into a wide image. For a one-time full-frame image acquisition, the final image must be that the two adjacent CIS channels are alternat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N1/387H04N1/031H04N1/032
CPCH04N1/031H04N1/032H04N1/3876
Inventor 徐绍余
Owner DONGGUAN CHITECS ELECTRONICS TECH
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