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Legemdre moment-based image subpixel edge detection method

A sub-pixel edge and detection method technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as high computational complexity and affecting solution speed, and achieve good robustness, reduce complexity, and reduce quantity Effect

Active Publication Date: 2015-09-09
DALIAN UNIV OF TECH
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AI Technical Summary

Problems solved by technology

This technology uses OFMM moments for sub-pixel edge detection. Although this technology is not sensitive to noise and overcomes the influence of noise, it requires three real templates and two complex templates, which has a large computational complexity and affects the solution speed.

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  • Legemdre moment-based image subpixel edge detection method
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  • Legemdre moment-based image subpixel edge detection method

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Embodiment Construction

[0031] In order to make the technical solutions and advantages of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the drawings in the embodiments of the present invention:

[0032] Such as figure 1 The shown image sub-pixel edge detection method based on Legendre moments specifically includes the following steps: read image information, grayscale the image and denoise the grayscale image: first convert the input RGB image into a grayscale image. Use the following method:

[0033] Gray=(28×B+151×G+77×R)>>8 (1)

[0034] Among them, ">>" means binary right shift. R, G, and B represent the colors of the three channels of red, green, and blue. Traversing all the pixels of the input image, using formula (1) for each pixel, Gray is the gray value of the corresponding pixel of the obtained gray image.

[0035] Denoise the image:

[0036] The invention adopts the se...

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Abstract

The invention discloses a Legendre moment-based image subpixel edge detection method. The method includes the steps of: S1. reading image information, graying an image and performing de-noising processing on the grayscale image; S2. adopting a Sobel operator to perform pixel-level edge positioning on the de-noised image: using a phenomenon that a weighted value of an adjacent point of a pixel points reaches a maximum value at an edge point to perform edge detection; and S3. adopting Legendre moment to perform subpixel edge detection on the image, and outputting an edge image. The Sobel operator has a smoothing effect on noise, thereby providing relatively accurate edge direction information, the Legendre moment is used to perform subpixel edge detection, the number of templates required by operations is reduced, the complexity of calculation is lowered, and better robustness is achieved in noise-proof performance at the same time.

Description

technical field [0001] The invention relates to the field of image edge detection, in particular to an image sub-pixel edge detection method based on Legendre moments. Background technique [0002] In engineering, non-contact precision measurement of geometric dimensions is often based on images. This method has been widely used due to its non-contact, full field of view, and high-precision characteristics. Its principle is to obtain the geometric parameters of the image by processing the edge of the image of the measured object. It can be seen that edge detection is the basis and key of image measurement. Traditional edge detection methods are mostly based on the change of image pixel gray level, such as Sobel operator, Laplacian operator and canny operator. These methods are simple in form and easy to implement, but the positioning accuracy is not high, usually only integer pixel-level accuracy, and the differential operator is very sensitive to noise, often producing so...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/13
Inventor 陈喆殷福亮张一
Owner DALIAN UNIV OF TECH
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