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Image segmentation method for cup noodles in which forks are thrown through throwing machine

An image segmentation and instant noodle technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as high production line speed

Inactive Publication Date: 2014-03-05
TIANJIN PUDA SOFTWARE TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But because the color of the fork is closer to the color of the dough and the production line is faster, it is very difficult to judge whether there is a fork.

Method used

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  • Image segmentation method for cup noodles in which forks are thrown through throwing machine
  • Image segmentation method for cup noodles in which forks are thrown through throwing machine
  • Image segmentation method for cup noodles in which forks are thrown through throwing machine

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Embodiment Construction

[0014] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0015] (1) Detection area

[0016] The surface cylinder is circular, so the center of the surface cylinder can be obtained according to the surface cylinder, and then the detection area can be determined according to the detection radius r input by the user. Depend on figure 1 It can be seen that the grayscale of the edge of the mask and the image outside the mask has a good contrast, so the search method is used from left to right and from right to left, and the point where the gray value changes from black to white for the first time is the mask edge point ( figure 1 shown). From these points, the face cylinder circle is fitted by the least square method, and then the center of the face cylinder is obtained. Determine the detection area according to the center of the surface bucket and the detection radius r (such as figure 2 area indicated by t...

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Abstract

The invention belongs to digital image processing and relates to an image segmentation method for cup noodles in which forks are thrown through a throwing machine. The method includes the steps that for acquired images of cup noodles, the edge points of noodle cups are determined in a mode of search from left to right and from right to left; a detection area is determined through the found edge points; binarization processing is performed; according to the characteristics that the forks are distributed densely in a concentrated mode in the area but noise points are scattered in various areas of noodle cakes and small in area, a screening threshold value is set, all the communication areas in the binary images are extracted, the communication areas with the area larger than the screening threshold value are reserved and taken as potential fork communication areas, and thus the images of the cup noodles in which the forks have been thrown through the throwing machine are segmented. The forks of the cup noodles can be detected online fast with the method. The images of the cup noodles in which the forks have been thrown through the throwing machine can be segmented fast and accurately so as to adapt to fast online detection of a high speed production line.

Description

Technical field [0001] The invention belongs to digital image processing and relates to an image segmentation method. Background technique [0002] During the production process of barreled instant noodles, the fork is delivered into the barrel by the fork thrower. Due to the inaccurate delivery of the fork thrower, there is a lack of forks in the barreled instant noodles. For the case of missing forks, manual identification is currently used. But because the color of the fork is closer to the color of the dough and the production line is faster, it is very difficult to judge whether there is a fork manually. It is necessary to propose an image segmentation method for online fast detection of instant noodle forks. Contents of the invention [0003] The purpose of the present invention is to overcome the above-mentioned deficiencies of the prior art, and to provide an image segmentation method for on-line fast detection of noodle forks in barrels. Technical scheme of the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 关帅张齐榕余天洪李华伟谌孙焕卜学哲
Owner TIANJIN PUDA SOFTWARE TECH
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