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Method for recognizing position of spherical object based on contour

A target and spherical technology, applied in the field of visual recognition, can solve problems affecting the accuracy of contour recognition, large noise, etc., to achieve high accuracy, reduce noise, and simple calculation

Active Publication Date: 2017-02-22
GUANGDONG POLYTECHNIC NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the problem that in the prior art, there are a large number of noise points that affect the recognition accuracy of contours in the actual application process.

Method used

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  • Method for recognizing position of spherical object based on contour
  • Method for recognizing position of spherical object based on contour

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Embodiment Construction

[0024] The present invention will be further described in detail below in combination with specific embodiments. However, it should not be understood that the scope of the above subject matter of the present invention is limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.

[0025] Such as figure 1 A schematic flow chart of the present invention is shown; wherein, the method for identifying the position of a spherical target based on the contour of the present invention includes six steps.

[0026] Step 1: After acquiring the original image of the target area, mark the target image area according to the gray value of the background in the original image. Wherein, the target area is set within a certain range of the position of the spherical target object, and the original image of the target area is acquired by the visual sensor. At the same time, the spherical target i...

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Abstract

The invention discloses a method for recognizing the position of a spherical object based on contour, and the method comprises the steps: marking a target image region through obtaining an original image of a target region, and combining with the eccentricity of the target image region; carrying out the corrosion shrinkage of the image after binarization processing, and enabling the edges of the image to be symmetric, thereby reducing the noise points; further employing a Prewitt operator to detect contour points; determining a fitting circle based on the contour points; and determining that the coordinates of the center of the fitting circle as the central position of the spherical object when the number of contour points reaches a target threshold value, wherein the distances between the center of the fitting circuit and the contour points are within a set range. The method can effectively reduce the noise points, is simple in operation, and is high in contour recognition accuracy.

Description

technical field [0001] The invention relates to the technical field of visual recognition, in particular to a method for recognizing the position of a spherical target based on an outline. Background technique [0002] The current target recognition methods can be divided into three categories: methods based on appearance features, methods based on shape features, and methods based on the combination of appearance and shape features. Object recognition based on shape features is a hotspot in current research, and significant progress has been made in recent years. From the traditional methods based on Fourier transform or invariant moments, it has developed into the current shape matching methods that are mostly based on the two shape descriptors of contour and skeleton. Compared with the point set, the contour has richer information, and the contour is not easily affected by changes in lighting, object color and texture, but in the actual application process, there are a l...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/38G06K9/46G06K9/40G06T5/30
CPCG06T5/30G06V10/255G06V10/28G06V10/30G06V10/44
Inventor 宋海鹰岑健谢敏周卫冯家辉
Owner GUANGDONG POLYTECHNIC NORMAL UNIV
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