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Method for detecting foreign body in food

A detection method and food technology, applied in image data processing, instruments, calculations, etc., can solve the problems of mis-segmented targets, too many additions, lack of accuracy, etc., achieve rapid identification, overcome image processing, and simple processing methods

Inactive Publication Date: 2009-03-25
CHINA AGRI UNIV
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Problems solved by technology

[0003] Since there are many types of food, and the types of foreign matter that may be mixed in and the position and shape in the food are uncertain, this makes the traditional segmentation method for extracting foreign matter target images more difficult, especially in the pre-set threshold. The image extraction in the determination and detection process needs to add too many human factors, and requires the detection personnel to have rich practical experience, which is prone to the phenomenon of mis-segmenting the target. Therefore, the traditional detection method of foreign matter in food by extracting foreign matter images Not only lacks accuracy, but also is not suitable for continuous on-line detection, and cannot meet the operating requirements of modern food production enterprises

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  • Method for detecting foreign body in food
  • Method for detecting foreign body in food
  • Method for detecting foreign body in food

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Embodiment Construction

[0020] When utilizing the method provided by the present invention to detect the food that may be mixed with metal foreign matter, its process is as follows: figure 1 The flow shown, the process is as follows:

[0021] Step 1: Collect X-ray images of the inspected food.

[0022] Move the packaged food to be detected through the detector at a certain uniform speed, set the resolution of the detector to 0.5mm×0.5mm, when the packaged food to be detected is within the width range of 0.5mm directly above the detector, the passing part is scanned and imaged . At this point, the integration time of the X-ray scan is T int , the detector pixel resolution width is S pixel , number of scans N s , conveyor belt movement speed V s , the relationship between the parameters is:

[0023] T int = S pixel ×N s / V s

[0024] In this acquisition process, the noise-reduced X-ray image of the inspected food is obtained by taking the average value after multiple scans line by line.

[...

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Abstract

The method of detecting foreign matter in food includes: acquiring the X-ray image of the detected food, performing contrast enhancing treatment, calculating the number of peaks in line distribution curve, obtaining the structure width, obtaining the X-ray image of simulating no-foreign matter food, and image subtraction calculation to obtain the foreign matter target image. The present invention simulates normal food image by means of mathematic morphologic operation and subsequent image subtraction partition to distinguish the foreign matter target in food X-ray image fast, and is simple and suitable for on-line detection.

Description

technical field [0001] The invention relates to a detection method for foreign matter in food, in particular to a detection method for extracting images of foreign matter mixed in food by performing arithmetic processing on X-ray images of food. Background technique [0002] At present, the detection method for foreign matter in packaged food is usually to use X-rays to collect the X-ray image of the food, and then through human intervention, the direct threshold or adaptive threshold segmentation method is used to extract the target image of foreign matter in the food X-ray image. [0003] Since there are many types of food, and the types of foreign matter that may be mixed in and the position and shape in the food are uncertain, this makes the traditional segmentation method for extracting foreign matter target images more difficult, especially in the pre-set threshold. The image extraction in the determination and detection process needs to add too many human factors, and...

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Application Information

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IPC IPC(8): G01N23/04G06T7/40G06T5/00
Inventor 韩东海温朝晖
Owner CHINA AGRI UNIV
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