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Method for extracting closed edge image contour on basis of anisotropy Gaussian kernel

An anisotropic, edge contour technology, applied in the field of image feature extraction, which can solve the problems of cross-edge breakage and inability to obtain closed image contours.

Inactive Publication Date: 2015-02-25
XI'AN POLYTECHNIC UNIVERSITY
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Problems solved by technology

[0003] The purpose of the present invention is to provide a method for extracting closed edge image contours based on anisotropic Gaussian kernel, which solves the technical problem that the cross edge fracture caused by edge detection in the prior art cannot obtain closed image contours

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  • Method for extracting closed edge image contour on basis of anisotropy Gaussian kernel
  • Method for extracting closed edge image contour on basis of anisotropy Gaussian kernel
  • Method for extracting closed edge image contour on basis of anisotropy Gaussian kernel

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Embodiment Construction

[0042] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0043] ANDDs (anisotropic directional derivatives) represent anisotropic Gaussian kernels.

[0044] see figure 1 , the method for extracting closed edge image contour based on anisotropic Gaussian kernel of the present invention comprises the following steps:

[0045] Step 1: first read the image to be extracted into the computer;

[0046] Step 2: Convolve the image with an anisotropic Gaussian kernel and the input image on the direction angle [0, π] to smooth and filter the image. The expression of the anisotropic Gaussian kernel in the direction corresponding to the θ angle is as follows,

[0047] g σ , ρ , θ = 1 2 π σ 2 ...

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Abstract

The invention discloses a method for extracting a closed edge image contour on the basis of an anisotropy Gaussian kernel. The method includes the steps that the anisotropy characteristics of edge directions are utilized, the multi-direction-angle anisotropy Gaussian kernel smooth filtering image is adopted, edge detection is then conducted, the structure of the edge contour is judged, the edges of fractures are filled or extend so that the edge fracture situation can not happen to the cross edges, and then the closed image edge contour is obtained. In addition, the method has the advantages of being high in noise steady performance, low in detection error rate, high in positioning accuracy and capable of achieving single-edge responding.

Description

technical field [0001] The invention belongs to the technical field of image feature extraction, and relates to a method for using an anisotropic Gaussian kernel to perform edge detection to obtain a closed edge image contour. Background technique [0002] Edge is the basic feature of image, contains rich visual information, and is an important research topic in the field of computer vision and pattern recognition. Obtaining complete image edges is a key step in image feature extraction. The edge detection algorithm based on differential determines the edge pixels by the maximum point of the first-order differential operator or the zero point of the second-order differential operator. However, the edge detector based on the first-order or second-order difference operator is sensitive to noise. In order to alleviate this problem, a smoothing filter is added before the image differential operation. In the prior art, the best edge detector based on the first derivative of the...

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Application Information

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IPC IPC(8): G06K9/46G06T7/00
Inventor 章为川杨婷婷顾梅花
Owner XI'AN POLYTECHNIC UNIVERSITY
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