Image edge detection method for splicing aerial correction images

An edge detection and image correction technology, which is applied in the field of computer vision, can solve a lot of noise, affect image quality, correct image edge noise and other problems, and achieve the effect of retaining effective scenes and avoiding splicing noise

Active Publication Date: 2018-04-20
DALIAN UNIV OF TECH
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Problems solved by technology

During the image correction process, the image needs to be reconstructed using an interpolation algorithm, which can cause noise at the edges of the corrected image
If you do not process the edge of the corrected image and stitch directly, there will be a lot of noise on the stitched image, which will affect the image quality
And if you simply crop the edge of the image, a lot of useful information will be cropped

Method used

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  • Image edge detection method for splicing aerial correction images
  • Image edge detection method for splicing aerial correction images
  • Image edge detection method for splicing aerial correction images

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Embodiment Construction

[0029] The specific implementation manner of the present invention will be further described below in conjunction with the technical scheme and the accompanying drawings.

[0030] An aerial image is available, see Figure 4 (a), the image width is 1200 pixels, and the image height is 1200 pixels. For a minimal image containing its geometrically corrected image see Figure 4 (b), denoted as I CB . Enlarge I CB The edge of the image is Figure 4 (c), it can be found that there are many excessively discontinuous noise pixels at the edge of the image, forming a noise band. in I CB The edge detection is performed on the above, and the calculation process is as follows:

[0031] Step 1, input the minimum image I containing the rectified image CB , set the edge detection window W m×m The size of is 7×7, that is, m=7.

[0032] Step 2, with the pixels to be detected (x 0 ,y 0 ) is the center point of the detection window, take TH n = 3, using formula (1) and formula (2) to...

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Abstract

The invention relates to an image edge detection method for splicing aerial correction images, which belongs to the field of computer vision. Non-ideal information such as pitch angle and roll angle of the unmanned plane can cause nonlinear distortion of the aerial image, and after geometric correction, the edge of the corrected image has a large amount of irregular noise. When a plurality of aerial images are stitched to form a seamless large-scale scene image, if each aerial correction image is directly cropped, a large amount of effective information is cut off, and if not cropped, obvioussplice noise can be generated. The method performs edge detection twice for an aerial correction image with edge noise, distinguishes invalid pixels from effective pixels by a certain rule, and determines the edge noise band. When correcting image stitching, stitching noise can be avoided by only clipping this noise band and at the same time, the effective scene of the image is maintained to the greatest extent.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to an image edge detection method for aerial correction image splicing. Background technique [0002] In recent years, with the continuous maturity of UAV technology, and the advantages of UAVs such as flexible maneuverability and high image resolution, UAVs have been widely used in aerial photography. Due to the limited scene corresponding to a single aerial image, multiple images need to be stitched together through image stitching technology to obtain a high-resolution scene map, which can be used for post-disaster reconstruction measurement, natural environment monitoring, and wartime real-time map construction , Local area high-definition scene map drawing, etc. [0003] Specifically, image stitching is to match two or more images first to obtain the corresponding relationship between each other in space, and then use image fusion strategy to stitch these images into...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T3/40
CPCG06T3/4038G06T2207/10004G06T7/13
Inventor 林秋华刘志旋
Owner DALIAN UNIV OF TECH
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