A Laplace operator edge detection method based on image interpolation

A technology of Laplacian operator and interpolation operation, applied in image analysis, image data processing, calculation, etc., can solve the problems of losing edge direction information, aggravating noise and adversely affecting edge detection results, etc., to improve the edge detection effect Effect

Active Publication Date: 2019-01-15
ZHEJIANG IND & TRADE VACATIONAL COLLEGE
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Problems solved by technology

[0006] This template has the advantages of rotation invariance and displacement invariance, but it also has certain defects, such as the edge direct

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  • A Laplace operator edge detection method based on image interpolation
  • A Laplace operator edge detection method based on image interpolation
  • A Laplace operator edge detection method based on image interpolation

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Embodiment Construction

[0028] The present invention will be further described below in combination with specific embodiments. refer to Figure 1 to Figure 5 , The invention provides a Laplacian edge detection method based on image interpolation operation.

[0029] The Laplacian operator is a second-order derivative operator, which is a type of edge detection operator defined based on the second-order partial derivative in the direction of the two coordinate axes of the image. The second-order partial derivative of digital image element g(x, y) in the direction of x-axis and y-axis is defined as:

[0030]

[0031] The edge part of the image is often the part with large grayscale changes and jumps, so the first-order partial derivative corresponding to the edge part is often a local extremum, so the edge area of ​​​​the image corresponds to the corresponding position when the second-order partial derivative crosses zero. Therefore, the edge of the image can be detected through the zero-crossing p...

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Abstract

The invention provides a Laplace operator edge detection method based on image interpolation operation, includes such steps as inputting an original image H, inserting an average value between two adjacent pixel values in each row of the original image, inserting the average value between two adjacent pixel values in each column of the image after row interpolation to obtain an interpolated expanded image H ', and inserting the average value between two adjacent pixel values in each column of the image after row interpolation. 2, expanding a 3*3 Laplace template L to obtain a 5*5 Laplace template L '; 3, convolution of that 5*5 Laplace template L 'and the expand image H' to obtain a resultant image H''. The invention has the advantages that the influence of noise on edge detection is reduced by interpolating the original image, and the edge detection effect is improved by expanding the Laplace template.

Description

technical field [0001] The invention relates to an image edge detection method, in particular to an image interpolation-based Laplacian edge detection method. Background technique [0002] Digital images contain rich visual information, especially edge information in images, such as edge information of rivers in images, edge information of human bones in medical CT images, edge information of various zebra crossings in road traffic images, etc. The extraction of edge information is widely used in modern life, such as medical aided diagnosis, face recognition, target tracking, remote sensing monitoring and other fields. These edge information are very important for the recognition and detection of targets in images. The second order partial derivative of digital image element g(x, y) in the direction of x-axis and y-axis is defined as: The Laplacian edge detection operator is an edge detection operator based on the zero-crossing point of the second derivative on the edge, a...

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Application Information

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IPC IPC(8): G06T7/13
CPCG06T7/13
Inventor 杨鹏
Owner ZHEJIANG IND & TRADE VACATIONAL COLLEGE
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