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Object Detection Method Based on Local Standard Deviation and Radon Transform

A local standard deviation and target detection technology, which is applied in the field of image processing, can solve problems such as high algorithm complexity and false alarm points around the target, and achieve the effects of overcoming high complexity, high accuracy, and improving efficiency

Active Publication Date: 2018-03-06
XIDIAN UNIV
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Problems solved by technology

Finally, use the corrected maximum value curve to perform Radon inverse transformation to realize image target detection and obtain small targets, so as to solve the problem of high algorithm complexity in the existing target detection technology, and when the point target is relatively weak, It is easy to generate false alarm points around the target, and improve the detection rate of image targets

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  • Object Detection Method Based on Local Standard Deviation and Radon Transform
  • Object Detection Method Based on Local Standard Deviation and Radon Transform
  • Object Detection Method Based on Local Standard Deviation and Radon Transform

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] Refer to attached figure 1 , to further describe the specific implementation steps of the present invention.

[0036] Step 1, input the color image to be detected.

[0037] The color image to be detected is input in the computer using matlab software.

[0038] Step 2, image preprocessing.

[0039] Using the image color space conversion method, the color image to be detected is converted into a grayscale image.

[0040] Step 3, obtain different grayscale background contour images.

[0041] Traverse each pixel in the grayscale image in turn, construct a 7×7 pixel filter template with each pixel in the grayscale image as the center, and calculate the standard deviation of all pixels in each 7×7 pixel filter template; The difference replaces the central pixel value of the filter template in the grayscale image, traverses each pixel in the grayscale image, and o...

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Abstract

The invention discloses a target detection method based on local standard deviation and Radon transformation. The steps are: (1) Input the color image to be detected; (2) Image preprocessing; (3) Obtain different grayscale background contour images; (4) Difference operation; (5) Radon transform; Large value curve; (7) Radon inverse transformation; (8) Output target detection results. The present invention can well solve the defects of too high algorithm complexity existing in the prior art, and when the point target is relatively weak, it is easy to generate false alarm points around the target, and the present invention improves the efficiency and accuracy of image target detection .

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a target detection method based on local standard deviation and Radon transformation in the technical field of remote sensing application and intelligent navigation. The invention is applied in the field of remote sensing application and intelligent navigation technology and can more accurately detect single or multiple infrared small targets under the background of space, sea and sky. Background technique [0002] In the field of remote sensing application and intelligent navigation technology, in order to improve the detection rate of image targets, there are many methods in the prior art. in: [0003] The patent "A Method for Midpoint Target Detection of Infrared Image Sequence" (publication number: CN103413138A, application date: 2013.07.18) filed by Aerospace Star Technology Co., Ltd. discloses a midpoint target detection method for infrared image sequences. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/32
CPCG06V10/255
Inventor 周凯付小宁冯玉杰陶勇傅艳霞
Owner XIDIAN UNIV
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