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Betelnut image contour extraction and calibration method based on digital image processing

A technology of image contour extraction and calibration method, which is applied in the directions of image data processing, image data processing, image feedback, etc., can solve the problems of difficult sanitation control, worker accidents, and high management costs, and achieve fast algorithm segmentation of images, improve Production efficiency and the effect of improving recognition accuracy

Active Publication Date: 2017-05-31
XIANGTAN UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional way of slicing betel nuts is manual cutting, which is difficult to cut betel nuts into two halves with a high degree of symmetry, and the scrap rate is high. Moreover, manual cutting of betel nuts has difficulties in hygiene control, poor hygiene quality, high labor intensity, and production problems. A series of problems such as low efficiency, high management cost, and easy to cause work-related accidents of workers
[0004] In order to solve this problem, the inventor discovered through long-term research that he has developed a fully automatic betel nut processing and manufacturing equipment, which mainly solves the technical problems of the existing betel nut processing equipment such as complex production, low efficiency, and unhygienic.

Method used

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  • Betelnut image contour extraction and calibration method based on digital image processing
  • Betelnut image contour extraction and calibration method based on digital image processing
  • Betelnut image contour extraction and calibration method based on digital image processing

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Experimental program
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Embodiment approach

[0045] A method for extracting and calibrating betel nut image contours based on digital image processing, comprising the following steps:

[0046] 1) The betel nut rotates along the rotation axis formed by connecting the two ends of the betel nut stalk, and the image acquisition mechanism respectively acquires the images of the betel nut taken at different angles of rotation of the rotation axis;

[0047]2) Utilize the betel nut images obtained from different angles in 1), and use the Ostu automatic threshold method to segment the image to obtain a binary image in which the foreground and the background are black and white pixels respectively. By comparing the number of black pixels in the binary image, determine The size of the target area in these betel nut images, select the betel nut image with the largest area, and use the image reference surface as the betel nut cutting surface, and rotate the betel nut to this angle;

[0048] 3) clipping the target betel nut in the bet...

Embodiment

[0071] Taking a certain betel nut as an example below, the application of the present invention on betel nut cutting is specifically set forth.

[0072] Turn on the betel nut cutting equipment, adjust the camera, initialize all signals, and proceed as follows:

[0073] 1) The motor drives the betel nut to rotate for 3 times, each rotation is 2π / 3 radians, and the camera captures the betel nut images taken three times;

[0074] 2) Utilize the three betel nut images obtained in 1), and use the Ostu automatic threshold method to segment the betel nut image to obtain a binary image in which the foreground and background are black and white pixels respectively. By comparing the black pixels in the binary image Number of points, determine the size of the target area in these betel nut images, select the betel nut image with the largest target area, and use the image reference surface as the betel nut cutting surface, and rotate the betel nut to this angle;

[0075] 3) Use the betel...

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Abstract

The invention discloses a betelnut image contour extraction and calibration method based on digital image processing, and relates to the field of betelnut cutting technologies of enterprises. The method mainly comprises the following steps that 1, an image acquisition mechanism obtains betelnut images shot in different angles; 2, target area sizes in betelnut images are compared, the belenut image with the largest target betelnut area is selected, and the reference surface serves as the belenut cutting surface; 3, the betelnut image is subjected to contour extraction through a GrabCut algorithm; 4, binaryzation is conducted on the result image in the step 3, coordinates of the two ends of betelnut pedicle are worked out, and the betelnut rotation angle and offset are worked out through the coordinates. By means of the method, the betelnut image identification speed can be increased, the betelnut image identification precision can be improved, and then betelnut cutting equipment is guided to cut betelnut accurately.

Description

technical field [0001] The invention relates to a method for applying digital image processing technology to enterprises to process betel nuts, in particular to a digital image processing-based method for extracting and calibrating the contours of betel nut images. Background technique [0002] Betel nut contains a variety of nutritional elements and beneficial substances needed by the human body, and is a plant chewing gum that is popular among consumers. Chewing betel nuts has become a national hobby in Hunan and other places, forming a unique cultural landscape. And along with the raising of people's living standard, the demand for edible betel nut is increasing day by day. [0003] As a kind of food, betel nut needs to be processed through multiple processes during the deep processing process. Among them, an important process is to cut a complete betel nut seed into equal parts, that is, the slicing process. The traditional way of slicing betel nuts is manual cutting, ...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06T7/11G06T7/136G06T7/194G06T7/62G06T5/00G06T1/00
CPCG06T1/0014G06T2207/20132G06T2207/10024G06T2207/10141G06T5/80
Inventor 欧阳建权周勇周海池
Owner XIANGTAN UNIV