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Irregular strip-shaped target center line automatic extraction method

An automatic extraction and centerline technology, applied in the field of image processing, can solve problems such as deviation and burr, and achieve the effect of enhancing linear features, accurate and smooth extraction, and high stability

Active Publication Date: 2019-07-05
FUJIAN UNIV OF TECH
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Problems solved by technology

[0010] The purpose of the present invention is to provide a method for automatically extracting the centerline of an irregular strip-shaped target, which can solve the problem of "burr" or "deviation" in the existing centerline extraction method defects, to achieve accurate and smooth extraction of the center line of the irregular strip target

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  • Irregular strip-shaped target center line automatic extraction method
  • Irregular strip-shaped target center line automatic extraction method
  • Irregular strip-shaped target center line automatic extraction method

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Embodiment Construction

[0046] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings.

[0047] Such as figure 1 As shown, a method for automatically extracting the centerline of an irregular strip target includes the following steps:

[0048] S1 ribbon target dismantling

[0049]Since the regression-based method cannot solve the crossover problem, it cannot be directly used to extract the centerline from the strip target, and the strip target needs to be disassembled before extracting the centerline. The specific operation is:

[0050] S1.1 first perform morphological refinement on the strip target to be extracted;

[0051] S1.2 Use the Rutoviz intersection number method to obtain the intersection point of the thinned strip target, and the specific operation is as follows:

[0052] Define the Rutoviz intersection number N of the pixel point P c for

[0053]

[0054] N i =(N 1 , N 2 ,...

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Abstract

The invention discloses an irregular strip-shaped target center line automatic extraction method, which is characterized by comprising the following steps: S1, disassembling a banded target; s2, linear structure enhancement; s3, center line extraction based on multivariate regression; and S4, connecting the center lines, recovering the topological connectivity of the strip-shaped target, and realizing the automatic extraction of the center line of the irregular band-shaped target. According to the method, convolution operation is carried out through the designed group of multi-scale polynomialfilters and the binary strip-shaped target, so that the linear characteristics of the strip-shaped target are enhanced, and the regularity of the irregular strip-shaped target is realized. A center line extraction problem is converted into exploring the quantitative relation of discrete points in the x direction and the y direction, and a multivariate adaptive regression spline method is used forachieving center line smooth extraction. The method is high in stability, and the center line of the irregular strip-shaped target can be accurately and smoothly extracted.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method for automatically extracting the centerline of an irregular strip-shaped target, which can be applied to the extraction of the centerline of a binary road image, the centerline of a blood vessel in a binary medical image, and machinery, construction, water conservancy, municipal administration, etc. mapping. Background technique [0002] The centerline is the most concise way to express the strip target (such as the binary road skeleton), which retains the contour information, topological information and location information of the strip target. How to extract the centerline from the strip target is a common concern in many fields such as biomedicine, machine manufacturing, and digital image processing. [0003] In recent years, the centerline extraction methods in related fields can be divided into the following five categories according to the realiza...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06T7/155
CPCG06T7/13G06T7/155
Inventor 许锐章静刘垣
Owner FUJIAN UNIV OF TECH
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