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Ellipse fitting method based on inertia moment

A technology of ellipse fitting and moment of inertia, which is applied in image data processing, instrumentation, calculation, etc., and can solve problems such as inability to fit image ellipses

Inactive Publication Date: 2016-05-11
丁业兵
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to provide a method for fitting an ellipse with the image moment of inertia, and solve the problem that the least square method and the Hough transform method cannot directly fit the image to the ellipse

Method used

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  • Ellipse fitting method based on inertia moment
  • Ellipse fitting method based on inertia moment
  • Ellipse fitting method based on inertia moment

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Embodiment Construction

[0027] like figure 1 It is a schematic diagram of the method of the method of the present invention. Taking the water cup in the fitted image as an example, this method includes the following steps:

[0028] (1) Select the target object to be fitted in the image to prepare the image;

[0029] (2) Image pre -processing can use image segmentation or target model for probability density projection method. The schematic diagram is to obtain the target model with the method of nuclear functions of the water cup color, and then use the histogram reverse projection to obtain the target to obtain the targetProbability density distribution map;

[0030] (3) Find the quality of the target density distribution, transfer the original point of the image coordinate system to the center of the heart, and find this target density distribution of the rotation inertia of the coordinate axis after the translation I x As well as I y Harmony I xy It

[0031] (4) Rotate the coordinate shaft after the t...

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Abstract

The invention discloses a method for fitting target object ellipse in a digital image. The ellipse fitting method is characterized by comprising the following steps: (1) calculating the centroid and the rotational inertia of a target area; (2) according to a condition that a centroid principal axis inertia product is zero, deducing an ellipse rotation angle and a centroid principal axis inertia moment; and (3) obtaining the semi-major axis and the minor semi-axis of the ellipse through the rotational inertia of the principal axis so as to obtain each parameter of the fit ellipse. The ellipse fitting method directly carries out inertia moment operation on the target area in the image to fit the ellipse, does not need pretreatment including edge detection and the like, and has instantaneity and accuracy.

Description

Technical field [0001] The invention involves an oval fitting method based on image inertia, which belongs to digital image processing and machine vision. Background technique [0002] In digital image processing and video target tracking, the target shape is often detected and recognized, and the general target shape can be fitted with ellipse.A large number of methods about ellipse detection are concentrated in the minimum daily multiplication and Hough transformation method.The minimum daily method is the maximum like graive of the random error that meets the normal distribution. It is applied to the ellipse fitting, that is, the multiple linear regression. All samples are involved in the operation.The sample point causes the ellipse to fit the deviation.Hough transformation is to map the original image coordinate space to the parameter space. In the parameter space, find cumulative corresponding points. The fault tolerance and robustness are better. The parameters are more id...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 丁业兵
Owner 丁业兵
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