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A drug bottle foreign object detection method based on image correction of medical vision detection robot

A visual inspection and image correction technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of low detection accuracy of foreign matter, calibration and matching of medicine bottles, etc.

Active Publication Date: 2015-09-30
HUNAN UNIV
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Problems solved by technology

[0003] The present invention proposes a method for detecting foreign objects in medicine bottles based on the image correction of medical vision detection robots. The disadvantage of low detection accuracy

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  • A drug bottle foreign object detection method based on image correction of medical vision detection robot
  • A drug bottle foreign object detection method based on image correction of medical vision detection robot
  • A drug bottle foreign object detection method based on image correction of medical vision detection robot

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Embodiment Construction

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

[0087] Such as figure 1 As shown, it is a flow chart of the present invention, a method for detecting foreign objects in medicine bottles based on image correction of medical vision detection robots. The output size requirement is 50um, that is, foreign objects exceeding 50um need to be detected, including the following steps:

[0088] Step 1: Image acquisition;

[0089] Continuously collect N frames of medical sequence images Image={Image 0 , Image 1 …Image N-1};

[0090] Among them, the number of frames N to be collected is determined according to the actual needs in the detection process of medical foreign matter; the acquisition mode is a single-trigger acquisition of multiple frames, and the image information of the high-speed rotation period of the foreign matter is collected intensively. Step 2: Preprocessing the sequence images to obtain the region of int...

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Abstract

The invention discloses a medicine bottle foreign matter detection method based on medical visual detection robot image correction. The method comprises the following steps: accurately calculating the rotating angle and the horizontal offset of a medicine bottle on the basis of determining the characteristic of the medicine bottle; determining the longitudinal offset in a maximal matching degree mode based on a template matching method; realizing precision correction of an image; and realizing eligible judgment of medical foreign matters through differentiation, binaryzation, superposition and the like. The sequence image high-precision registering method can be used under the environment of insufficient medical anti-shaking inhibition, effectively makes up the shortage of hardness, and is suitable for high-speed high-precision detection of a visual detection robot for medical foreign matters of ampoule, infusion solution, oral liquid, soft bags and the like.

Description

technical field [0001] The invention relates to a method for detecting foreign objects in medicine bottles based on image correction of a medical vision detection robot. Background technique [0002] At present, the existing medical foreign body visual detection robots (ampoules, large infusions, oral liquids, etc.) mostly use the method of sequential frame difference processing to detect foreign bodies. The method is simple, fast and effective for feature extraction and recognition judgment of the target. However, the anti-shake ability of the mechanical body is extremely high. A slight shake will cause the target to shift a few pixels in the image, and the imaging of 50-micron pharmaceutical foreign particles in the image is only a few pixels, resulting in the characteristics of the foreign object being different from the image. The background interference features are relatively close, which greatly increases the difficulty of developing high-speed and high-precision vis...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 王耀南吴成中张辉毛建旭余洪山赵科陈铁建张耀
Owner HUNAN UNIV
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