Visible foreign matter and bubble classification recognition detection method for medical (250ml)

A technology of classification recognition and large infusion, which is applied in the directions of character and pattern recognition, image analysis, image data processing, etc., and can solve problems such as image deviation, difficulty in quickly sorting qualified and defective products, and excessive interference

Active Publication Date: 2016-08-17
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0006] 3) There is a lot of interference from the outside world such as the bottle wall;
[0007] 4) When the equipment is running, it will inevitably produce mechanical vibration, and the medicine bottle is not

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  • Visible foreign matter and bubble classification recognition detection method for medical (250ml)
  • Visible foreign matter and bubble classification recognition detection method for medical (250ml)
  • Visible foreign matter and bubble classification recognition detection method for medical (250ml)

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Embodiment Construction

[0086] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0087] like figure 1 As shown, a method for classifying, identifying and detecting visible foreign objects and air bubbles in a 250ml large medical infusion solution comprises the following steps:

[0088] Step 1) Continuously acquire the original images that are detecting large infusions, such as figure 2 shown;

[0089] Step 2) image preprocessing, such as image 3 shown;

[0090] For each frame of the large infusion image obtained in step 1), a circular template of 7×7 is used as a structural element to perform filtering processing based on Top-Hat morphology to obtain a filtered image;

[0091] Step 3) image segmentation;

[0092] Carry out image segmentation to the filter image that step 2) obtains by difference method, obtain segmentation image;

[0093] In said step 3), image segmentation is carried out using the frame difference method ba...

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Abstract

The invention discloses a visible foreign matter and bubble classification recognition detection method for medical large volume injection (250ml), and the method comprises the following steps: 1), continuously obtaining a plurality of images of large volume injection in detection; 2), carrying out the image pre-processing: filtering the images based on Top-Hat morphological filter; 3), carrying out image segmentation: carrying out the segmenting of the filtered images through employing an interframe differential method based on the maximum information entropy; 4), carrying out extraction of defected edges: extracting the edges of the visible foreign matters and bubbles through employing an SUSAN algorithm; 5), carrying out an image feature extraction algorithm: extracting the shape, gray and movement feature parameters for describing foreign matters and bubbles through the research and analysis of the features of defects; 6), carrying out the defect classification and recognition: achieving the recognition and classification of foreign matters and bubbles through employing an IDS-ELM algorithm. The invention achieves the recognition and classification of foreign matters and bubbles, can precisely classify and recognize various types of defects, and enables the products with different types of defects to be removed and placed in different defective product regions.

Description

technical field [0001] The invention belongs to the technical field of image processing and automation, and in particular relates to a method for classifying, identifying and detecting visible foreign objects and air bubbles in a 250ml large medical infusion solution. Background technique [0002] Glass bottles, plastic bottles, and plastic soft bags are the main materials for large infusions at home and abroad. At present, glass bottles are still the main container for large-scale infusion in China, and due to the lack of large-scale infusion production technology and packaging technology, it is often easy to mix hair, floating objects (plastic, fiber), glass shavings and other visible foreign objects with a diameter greater than 50um. Seriously affected the health and even life safety of the transfusion person. At present, the large infusion of glass bottles above 250ml in China mainly uses manual light inspection or imported equipment. Manual light inspection has the dis...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/62
CPCG06T7/0008G06T2207/30108G06T2207/20081G06T2207/10016G06F18/241
Inventor 张辉师统阮峰吴成中
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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