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On line foreign matter distinguishing method for article inspection based on unit gradation uniformity

A technology for object detection and uniformity, applied in food science, applications, tobacco, etc., can solve problems such as easy misjudgment, and achieve the effects of easy implementation, improved correct recognition rate, and small amount of calculation

Inactive Publication Date: 2007-01-10
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the actual situation, some foreign matter overlaps with tobacco in a large range in the color control, so it is easy to misjudgment only based on the color of the pixel

Method used

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  • On line foreign matter distinguishing method for article inspection based on unit gradation uniformity
  • On line foreign matter distinguishing method for article inspection based on unit gradation uniformity
  • On line foreign matter distinguishing method for article inspection based on unit gradation uniformity

Examples

Experimental program
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Embodiment Construction

[0034] Taking the identification of tobacco as an example, a specific embodiment of the present invention will be described below in conjunction with the accompanying drawings.

[0035] An image of a standard tobacco leaf such as figure 1 As shown, if there is a foreign matter with a similar color in the tobacco leaves, such as a yellow belt, the foreign matter-the image of the yellow belt is obviously different, such as figure 2 As shown, they can be identified according to the overall gray uniformity method of the unit.

[0036] combine Figure 5 and Figure 6 , the specific implementation of this method is as follows:

[0037] 1. Image capture: On the production line, when the tobacco leaf flow is conveyed to the back end of the conveyor belt, a high-speed airflow is generated by the starting device, and the tobacco leaf flow is coupled in the airflow and ejected at a high speed (about 5m / s). When the tobacco leaf flow is suspended in the air , two high-speed CCD line ...

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Abstract

The on-line foreign matter detecting process based on unit grey homogeneity includes the following steps: 1) image taking; 2) image transmission: 3) foreign matter distinguishing and processing; 4) distinguishing signal transmission; and 5) eliminating foreign matter. During the process, LED is used as light source to raise image brightness and stability, images are taken from both the upper side and the lower side of the detected matter, and the detected matter is distinguished from two sides for raised distinction rate. In the foreign matter distinguishing and processing, the integral unit gray homogeneity is utilized in judging the unit attribute to distinguish the foreign matter with color similar to that of the detected matter. The present invention has raised distinguishing rate between tobacco or other detected matter and foreign matter.

Description

Technical field: [0001] The invention relates to a method for identifying foreign matter similar in color to the object to be inspected in on-line inspection of articles, which is mainly used for foreign object detection of articles such as tobacco. Background technique: [0002] At present, the conventional foreign object recognition method used in the online detection system of tobacco and other items is based on the chromaticity statistical method of pixels. The basic principle is to use the difference in color between tobacco and foreign objects to judge whether the pixels in the unit belong to tobacco or foreign objects. , and then judge whether there are foreign objects in the unit. Its working process has the following basic steps: 1. Chromaticity space transformation: transform from RGB space to Ohta or HIS space; 2. Calculation of discrimination threshold: count the range of color parameters of tobacco leaves and various foreign objects in chromaticity space (such a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A24C5/34
Inventor 钟先信姚富光马姝琳唐向阳
Owner CHONGQING UNIV
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