Ampoule bottle printed word defect detection method based on image registration

An image registration and defect detection technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of judgment error, quality qualification standards cannot be completely unified, and high cost, so as to reduce feature matching errors and improve Detection results, the effect of eliminating image distortion

Pending Publication Date: 2022-03-15
HENAN UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the field of ampoule bottle printing, the quality requirements for its printed characters are also stricter, so as to avoid medication safety problems caused by incomplete printing or incomplete information on ampoule bottles
[0003] At present, the printing equipment used by pharmaceutical bottle manufacturers does not have supporting printing testing equipment at the back end, so they can only hire manual workers to test the printing quality of ampoule bottles, and manual testing has unavoidable defects:
[0004] 1. It is easy to cause missed inspections. Due to long-term work, the eyes will be tired, and it is easy to miss some defect information and make wrong judgments on some defects.
[0005] 2. The qualified standards of quality cannot be completely unified, and different people may make different judgments on the product due to subjective consciousness when testing the same product
[0006] 3. Slow speed, high cost, low efficiency, requiring a lot of labor and capital

Method used

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  • Ampoule bottle printed word defect detection method based on image registration
  • Ampoule bottle printed word defect detection method based on image registration
  • Ampoule bottle printed word defect detection method based on image registration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] Such as figure 1 As shown, an image registration-based defect detection method for ampoule printed characters includes the following steps:

[0040] Step 1: Use a line array industrial camera to capture the printed word image of the ampoule bottle, and obtain the template image and the image to be registered; Step 2: Use the SURF algorithm to extract and describe the feature points of the template image, and perform feature points on the image to be registered Extraction and feature point description; Step 3: Use the FLANN matching algorithm for feature point matching; Step 4: Calculate the transformation matrix that maps the image to be registered to the template image according to the matched feature point pairs; Step 5: Convert the image to be registered The image is calibrated through the transformation matrix to eliminate image distortion; Step 6: Make an image difference between the template image and the calibrated image to be registered to obtain a difference im...

Embodiment 2

[0042] A method for detecting defects of printed characters on ampoules based on image registration, including the following steps: Step 1: Use a linear array industrial camera to collect images of printed characters on ampoules, and obtain template images and images to be registered, such as figure 2 Shown; Step 2: Use the SURF algorithm to perform feature point extraction and feature point description on the template image, perform feature point extraction and feature point description on the image to be registered, and shrink the input image to 250*200 before feature point extraction size; step 3: use the FLANN matching algorithm for feature point matching, such as image 3 As shown, after the feature points are matched, the Euclidean distance of each feature point pair is calculated, and the value of 2 times the minimum Euclidean distance is set as the threshold, and the feature point pairs whose Euclidean distance is greater than the set threshold are eliminated; Step 4: ...

Embodiment 3

[0044] Such as figure 1 As shown, an image registration-based defect detection method for ampoule printed characters includes the following steps:

[0045] Step 1: Use a line-scan industrial camera to capture the image of the printed word on the ampoule bottle, and obtain the template image and the image to be registered;

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Abstract

The invention discloses an ampoule bottle printed word defect detection method based on image registration, which comprises the following steps of: 1, acquiring an ampoule bottle printed word image by using a linear array industrial camera to obtain a template image and a to-be-registered image; 2, performing feature point extraction and feature point description on the template image by using an SURF algorithm, and performing feature point extraction and feature point description on the to-be-registered image; step 3, performing feature point matching by using an FLANN matching algorithm; 4, according to the matched feature point pairs, calculating a transformation matrix of the to-be-registered image mapped to the template image; 5, calibrating the to-be-registered image through the transformation matrix, and eliminating image distortion; and 6, carrying out image difference on the template image and the calibrated to-be-registered image to obtain a difference image, and judging whether the printed characters have defects or not according to the difference image. According to the method, the feature extraction, matching, correction and detection of the ampoule bottle printed character image can be quickly and effectively realized, and the detection process takes less time.

Description

technical field [0001] The invention belongs to the field of industrial printed word defect detection, in particular to an image registration-based method for detecting printed word defects in ampoule bottles. Background technique [0002] In recent years, more and more people have paid more and more attention to the quality and safety of medicines, and the state has also increased the quality inspection of medicines. For the field of ampoule bottle printing, the quality requirements for its printed characters are also stricter, so as to avoid medication safety problems caused by incomplete printing or incomplete information on ampoule bottles. [0003] At present, the printing equipment used by pharmaceutical bottle manufacturers does not have supporting printing testing equipment at the back end, so they can only hire manual workers to test the printing quality of ampoule bottles, and manual testing has unavoidable defects: [0004] 1. It is easy to cause missed inspectio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/33G06V10/44G06V10/46G06V10/50G06T5/00
CPCG06T7/001G06T7/33G06T5/006G06T2207/30144G06T2207/20081
Inventor 张苗辉马建新邓洋洋王俊黄紫晴
Owner HENAN UNIVERSITY
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