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Panoramic image mosaic method based on optimal grid density model

A panorama image and grid technology, which is applied to the details of image stitching, graphic image conversion, image data processing, etc. Effect

Active Publication Date: 2021-10-08
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

The existing panoramic image stitching technology has the following disadvantages: (1) When the large field of view is stitched, the panoramic image is seriously distorted; (2) The local area of ​​the panoramic image is stitched out of position, and the jagged phenomenon is obvious; (3) There are stitching gaps in adjacent images, and the image color difference protrude

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  • Panoramic image mosaic method based on optimal grid density model
  • Panoramic image mosaic method based on optimal grid density model
  • Panoramic image mosaic method based on optimal grid density model

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Embodiment Construction

[0058] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0059] Such as figure 1 As shown, the present invention discloses a panorama image mosaic method based on an optimal grid density model. Taking the panorama of an airport tower as an example, the specific implementation process is as follows:

[0060] Step 1: Acquire multiple frames of images to be stitched

[0061] Use a visible light high-definition camera to acquire 8 images with a resolution of 3840×2160 to be stitched. There is an overlapping area of ​​about 300×2160 pixels between adjacent frames of images. The two adjacent images with overlapping areas are divided into one group, and each group of images Carry out follow-up image mosaic operation, taking a group of images as an example, the image is recorded as I 1 , I 2 .

[0062] Step 2: Obtain image brightness map Y 1 , Y 2

[0063] Determine whether the image type is a color image or a...

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Abstract

The invention discloses a panoramic image mosaic method based on an optimal grid density model, which is used to meet the needs of users in the field of military and civilian surveillance in a large field of view, comprising the following steps: 1) acquiring multiple frames of images to be mosaic; Perform RGB to YUV space conversion to obtain the brightness matrix Y; 3) Use feature description operators to extract feature points of multi-frame images; 4) Feature point screening to eliminate unsatisfactory feature points; 5) Establish a grid density model to calculate multiple feature points Optimum grid density; 6) Select the optimal feature points according to the grid; 7) Calculate the homography transformation matrix for adjacent image registration; 8) Splice multiple frames of images through the homography matrix, and use the The fade-in and fade-out method is used to fuse adjacent images to eliminate stitching gaps. The panorama image spliced ​​and formed by the method provided by the present invention more truly reflects the real scene, avoids the problems of splicing dislocation and obvious jagged phenomenon, and splices images without gaps.

Description

technical field [0001] The invention belongs to the technical field of photoelectric image processing, and in particular relates to a panoramic image splicing method based on an optimal grid density model. Background technique [0002] Image stitching combines a group of low-resolution or small-angle images with overlapping areas through distortion correction, splicing, and fusion processing to form a high-resolution, large-angle panoramic image, which has been more and more widely used in the field of military and civilian surveillance . In the civilian field: typical applications include large-area, high-precision, real scene map mapping, medical image synthesis, virtual reality scene construction, car panoramic driving assistance systems, etc.; in the military field: typical applications include tank panoramic inspection systems; submarine panoramic support system etc. Image mosaic can be divided into three categories according to the registration method: the first type...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40G06F17/16
CPCG06F17/16G06T3/4038G06T2200/32
Inventor 白俊奇苗锋杜海浪石林李宏刚陈平曲春旭
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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