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Graphic object comparison method

A graphic object, comparison technology, applied in the direction of instrument, calculation, character and pattern recognition, etc., can solve the problem of wrong conclusion, lack of unique correspondence, complex calculation, etc., to avoid shortcomings.

Active Publication Date: 2019-07-30
戴文跃
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The above two types of existing technologies are all indirect comparisons, so there is an obvious shortcoming: there is no unique correspondence between the compared content and the compared graphic objects, so wrong conclusions may be drawn in the case of complex images
In addition, these technologies also have shortcomings such as unintuitive comparison content and complex calculations.

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] Example 1 Quantitative expression of geometric importance of points.

[0032] The present invention proposes the "geometric importance of point" index. The following is an example of the quantitative expression of the geometric importance of a point: the centroid (100) of the contour, the vertex (50) of the corner, the intersection point (40) of the line, the arc The center of the line (30), the inflection point of the curve (20), the midpoint of the line segment (10), the end point of the line (5), the point on the ridge line (3), the point on the symmetrical line (2), and the general line A point (1), a normal point in the region (0). The numbers in brackets are the geometric importance scores of such points.

[0033] The basic geometric action mode of the point is not limited to that shown in this embodiment, and its quantized score is not limited to that shown in this embodiment, and should be adjusted according to specific application conditions.

Embodiment 2

[0034] Embodiment 2 The OIR reference system of the ellipse graphics object.

[0035] figure 2 The graphics object shown contains three basic geometric patterns: an ellipse outline and two symmetry lines. In order to make the picture clear, the four endpoints of the two symmetry lines are not marked in the figure.

[0036] figure 2 The composition analysis of the geometric importance of each point in is as follows (using the quantitative score in Example 1).

[0037] o 1 : Point on the long symmetry line (2), midpoint on the long symmetry line (10), point on the short symmetry line (2), midpoint on the short symmetry line (10), intersection of two symmetry lines (40), center of the ellipse contour (100), the cumulative geometric importance is 164.

[0038] o 2 : The point on the long symmetry line (2), the point on the elliptic curve (1), the intersection point (40) of the long symmetry line and the elliptic curve, and the cumulative geometric importance is 43.

[003...

Embodiment 3

[0044] Embodiment 3 Direct comparison of two ellipse graphic objects.

[0045] image 3 The graphical object shown is figure 2 The graphic object shown is obtained after translation, rotation and scaling transformation. By the same analysis as in Example 2, O can be obtained 1 , O 2 、A 1 、A 2 、A 3 The composition of the geometric importance of each point is exactly the same as that in Embodiment 2, because the similarity transformation does not change the composition of the geometric importance of the point.

[0046] right figure 2 and image 3 The comparison of the two graphic objects shown is first to check whether the OIR reference systems of the two graphic objects are the same, that is, to compare whether the geometric importance configurations of the corresponding reference points are the same.

[0047] According to the geometric importance composition analysis of Embodiment 2 and Embodiment 3, the geometric importance composition of the first and second refer...

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Abstract

The invention provides a graphic object comparison method, and aims to overcome the difficulty that graphic objects cannot be directly compared due to similar transformations such as translation, rotation and scaling. Therefore, the invention provides an internal proportional relation reference system of a graphic object, a method for establishing the internal proportional relation reference system on the graphic object and a direct comparison method of the graphic object. The core for forming the two methods is an geometric importance index of a point and an application method of the geometric importance index of the point matched with an internal proportional relation reference system of a graphic object. The method can be used for machine vision mode recognition.

Description

technical field [0001] The invention belongs to the technical field of machine vision, and in particular relates to a graphic-object comparison method. Background technique [0002] Basic geometric patterns refer to geometric patterns with general significance in graphic objects, such as areas, contours, corners, straight lines, curves, line segments, arcs, etc. [0003] A graphic object refers to a relatively independent geometric pattern composed of basic geometric patterns, and its scale can be a single basic geometric pattern or a combination of several basic geometric patterns. [0004] The comparison of two images is firstly the comparison of their graphic objects. The main difficulty in the comparison of graphic objects is that even between several images of the same thing, there may be differences in image translation, rotation, and scale due to various similar transformations, so it cannot be directly compared in the original coordinate system of the two images. C...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/44G06V10/751
Inventor 戴文跃
Owner 戴文跃