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Invariant-moment target recognition method based on Radon transformation and polar harmonic transformation

A target recognition and ultra-harmonic technology, which is applied in the field of image processing, can solve problems such as data instability, high computational complexity, and poor moment-invariant anti-noise ability, so as to improve accuracy, overcome information redundancy, and improve overall performance effect

Inactive Publication Date: 2012-01-18
XIDIAN UNIV
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Problems solved by technology

[0004] Aiming at the deficiencies of the existing image target recognition technology, the present invention proposes a moment-invariant target recognition method based on Radon transform and polar harmonic transform, by constructing Radon complex exponential invariant moments, Radon sine-cosine invariant Three new invariant moments of exponential real and imaginary invariant moments are used to realize image target recognition, so as to solve the disadvantages of poor anti-noise ability, high computational complexity and unstable data of invariant moments used in existing target recognition technology. Improving the recognition rate of image targets

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  • Invariant-moment target recognition method based on Radon transformation and polar harmonic transformation
  • Invariant-moment target recognition method based on Radon transformation and polar harmonic transformation

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[0030] Attached below figure 1 The present invention is further described:

[0031] Step 1, input the image to be recognized: use matlab software in the computer to read the color image to be recognized stored in the hard disk space of the computer.

[0032] Step 2, image preprocessing

[0033] 2a) Apply the image color space conversion method to convert the color image to be recognized into a grayscale image by the following formula:

[0034] Gray=0.233R+0.587G+0.114B

[0035] Among them, Gray is the converted grayscale image, and R, G, and B are the red, green, and blue color component values ​​of the pixels in the color image to be recognized, respectively.

[0036] 2b) Extract the target region of the grayscale image with the Sobel edge detection method, and the specific steps are:

[0037] Use Sobel edge detection method to carry out edge detection to the grayscale image obtained in step 2a), obtain the edge image of edge closure; Concrete steps are:

[0038] First, ...

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Abstract

The invention discloses an invariant-moment target recognition method based on Radon transformation and polar harmonic transformation, which comprises the steps of: 1) inputting an image to be recognized; 2) preprocessing the image; 3) conducting the Radon transformation; 4) conducting affine transformation; 5) constructing invariant moments; 6) extracting invariant features; 7) constructing a feature model; 8) conducting image target recognition; and 9) outputting an image target recognition result. By adopting the method, three new invariant moments, i.e. a Radon complex exponential invariant moment, a Radon sine and cosine invariant moment and a polar complex exponential invariant moment real and imaginary invariant moment are successfully constructed. By extracting the real part and the imaginary part of the invariant moments as the invariant features, the problem of noise interference can be effectively solved, the reality of the image can be better reflected and the accuracy of the image target recognition can be improved. The method disclosed by the invention has better applicability and stability, and can improve the overall performance of the invariant moments and the applicability and stability of the image target recognition.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a moment-invariant target recognition method based on Radon transformation and extreme harmonic transformation in the field of remote sensing application and medical diagnosis. The present invention can improve the recognition rate of targets in remote sensing images when applied to remote sensing applications, and can more accurately identify lesion parts in medical images in the field of medical diagnosis, especially for tumor positioning and recognition. The target recognition of the present invention also has a higher recognition rate. Background technique [0002] In the field of remote sensing applications and medical diagnosis, in order to improve the recognition rate of image targets, the target recognition method based on image shape features is adopted. At present, image target recognition methods are mainly based on geometric invariant moments as basic ...

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Application Information

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IPC IPC(8): G06K9/66
Inventor 苗启广刘娟陈为胜许鹏飞王一丁史俊杰李伟生王煦
Owner XIDIAN UNIV
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