Method for extracting rough image edge based on anisotropism Gaussian directional derivative filter

An anisotropic and directional derivative technology, which is applied in the field of image rough edge extraction based on an anisotropic Gaussian directional derivative filter, can solve problems such as edge shift and noise sensitivity

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

[0005] The purpose of the present invention is to propose a method based on the anisotropic Gaussian direction derivative filter to extract the rough edge of the image, which solves the problem of edge shift and the effect of the scale selection caused by the use of the isotropic Gaussian kernel to extract the image edge in the prior art. Noise Sensitive Technical Issues

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  • Method for extracting rough image edge based on anisotropism Gaussian directional derivative filter
  • Method for extracting rough image edge based on anisotropism Gaussian directional derivative filter
  • Method for extracting rough image edge based on anisotropism Gaussian directional derivative filter

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[0048] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0049] ANDDs (anisotropic directional derivatives) represent anisotropic Gaussian directional derivative filters derived from anisotropic Gaussian kernels.

[0050] The method for extracting rough edges of an image based on an anisotropic Gaussian direction derivative filter of the present invention comprises the following steps:

[0051] Step 1: Read the image into the computer;

[0052] Step 2: Use an anisotropic Gaussian direction derivative filter to smooth the image on the average direction angle within [0, π]. The specific steps are as follows:

[0053] 2.1, calculate the anisotropic Gaussian directional derivative

[0054] The two-dimensional Gaussian function extended on the basis of the one-dimensional Gaussian kernel function can be expressed as:

[0055] g σ , ...

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Abstract

The invention discloses a method for extracting a rough image edge based on an anisotropism Gaussian directional derivative filter. The method comprises the steps that an image is smoothed by the adoption of the discretization anisotropism Gaussian directional derivative filter, then the gradient magnitude corresponding to the maximum gradient direction of pixels of the smoothed image is calculated, and finally the rough edge is extracted by means of gradient correlation. The anisotropism Gaussian directional derivative filter is utilized for processing the image, the good noise inhibiting effect is achieved, gray level change information in each direction can be well extracted, the problems of edge contour shifting and noise sensitivity brought by Gaussian scale factors are solved, and the novel edge extracting method is provided for a corner detection algorithm based on the edge contour.

Description

technical field [0001] The invention belongs to the technical field of image feature extraction, and in particular relates to a method for extracting rough edges of an image based on an anisotropic Gaussian direction derivative filter. Background technique [0002] Image features (such as edges, corners, etc.) contain rich information, which can provide sufficient constraints for image processing. Extracting image feature information can have the following advantages: (1) processing image features greatly reduces the amount of computing data, and (2) features are invariant to rotation, zoom in, zoom out, and translation. Edge extraction technology is often used in corner detection applications. Today's corner detection can be roughly divided into three categories: detection methods based on gray intensity changes, detection methods based on edge contours, and detection methods based on corner model matching. Based on the detection method of edge contour, the key technology ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/13G06T2207/20024
Inventor 章为川孔祥楠杨婷婷
Owner XI'AN POLYTECHNIC UNIVERSITY
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