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Subpixel edge detection method based on one-dimensional gray moment

A sub-pixel edge and detection method technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of increased complexity and insufficient precision

Active Publication Date: 2015-06-17
DALIAN UNIV OF TECH
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Problems solved by technology

This scheme uses the sigmod function kernel fitting method to perform sub-pixel edge detection. Although this method is not sensitive to noise, the accuracy is not high enough, and the fuzzy edge model needs to be integrated, especially iterative operations are required to obtain edge parameters. , which will increase the computational complexity

Method used

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  • Subpixel edge detection method based on one-dimensional gray moment
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  • Subpixel edge detection method based on one-dimensional gray moment

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Embodiment

[0108] In order to verify the effectiveness of the present invention, a computer simulation experiment has been carried out. In the experiment, the experimental parameters are CPU IntelR CoreTM i32.4GHz, 2G memory, the graphics card is ATI Mobility Radeon HD5470, the system is Window7 Home Edition, and the software programming environment is Matlab2010b. The image of the experiment of the present invention is to utilize artificially synthesized image and actual image, for the size of the artificially synthesized picture is 400 pixels * 400 pixels, and for the actual image size is 512 pixels * 512 pixels.

[0109] Definition of Noise Ratio:

[0110] NR = σ n k × 100 % - - - ( 32 )

[0111] Among them, σ n is the standard deviation of the added Gaussian white noise, and k is the...

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Abstract

The invention discloses a subpixel edge detection method based on one-dimensional gray moment, which comprises the following steps: S1, carrying out denoising on a to-be-processed image in a median filtering mode; S2, carrying out pixel-level edge detection on the to-be-processed image by using a Canny edge detection operator method; and S3, carrying out edge detection on the pixel of the image by using a one-dimensional gray moment method so as to complete the subpixel edge detection of the image. The method disclosed by the invention is implemented by carrying out One-dimensional gray moment by using a median filter firstly, then carrying out pixel-level edge detection by using a Canny operator, and then carrying out pixel edge detection by using a one-dimensional gray moment in the Cartesian coordinates of a spatial domain.

Description

technical field [0001] The invention relates to the technical field of graphic processing, in particular to a sub-pixel edge detection method based on one-dimensional gray moment. Background technique [0002] The edge of the image contains a large amount of useful information of the target object. Accurately extracting the edge of the image also has a decisive impact on subsequent image processing, such as object registration, object size measurement, object detection and recognition, etc. Therefore, edge detection Technology plays a very important role in the detection system based on computer vision. The edge detection system based on computer vision has the advantages of non-contact, high precision, low cost, wide application range, fast detection speed and high degree of automation. In industrial production and manufacturing, the precise identification and registration of parts such as nuts and bearings will be applied to edge detection technology based on computer vis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 陈喆殷福亮杨兵兵
Owner DALIAN UNIV OF TECH
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