Improved approximate projection transformation image splicing method

A technology of image stitching and projection transformation, which is applied in image enhancement, image analysis, image data processing, etc., and can solve problems such as inaccurate registration, increased difficulty of image registration, and slow matching speed

Inactive Publication Date: 2017-08-04
CHANGSHA PANODUX TECH CO LTD
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

However, between images to be registered, there may be multiple nonlinear transformations in different target areas, or there may be large areas without obvious features (such as uniform texture areas or areas of the same color, etc.), which greatly increase the quality of image registration. standard difficulty
[0007] In the prior art, the i...

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  • Improved approximate projection transformation image splicing method
  • Improved approximate projection transformation image splicing method
  • Improved approximate projection transformation image splicing method

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Embodiment Construction

[0114] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0115] Such as figure 1 As shown, a kind of image mosaic method that approximates projective transformation of the present invention comprises the following steps:

[0116] S1: Image preprocessing.

[0117] In the embodiment of the present invention, preprocessing such as noise suppression, texture and contrast enhancement, and histogram normalization is performed on multiple original images with partial overlapping regions collected by the camera, so that the ima...

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Abstract

The invention discloses an improved approximate projection transformation image splicing method, relating to the technical field of image processing. The image splicing method includes S1 image preprocessing, S2 image feature point extraction, and S3 image feature point matching based on an optical flow pyramid. The image processing in S1 includes noise suppression, enhancement of texture and contrast, and normalization of histograms, and further includes calibration of the camera lens, establishment of the corresponding mathematical model based on the cause of image distortion, and correction of contaminated or distorted images by using the calibrated parameters; and the image feature point extraction in S2 adopts a BRISK and/or ORB feature descriptor. The method provided is improved based on the approximate projection transformation (APAP) image splicing method, the pre-processing step is added before the feature extraction step, and the BRISK and/or ORB binary feature descriptor is creatively used in the feature extraction step, and the optical flow pyramid is creatively used in the matching step, so that the image splicing is timesaving and accurate in registering.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to the technical field of image splicing. Background technique [0002] Image stitching technology is the technology of stitching several partially overlapping images into a large seamless high-resolution image. Use ordinary cameras to obtain wide-field scene images. Because the resolution of the camera is fixed, the larger the scene is, the lower the image resolution will be. However, panoramic cameras and wide-angle lenses are not only very expensive, but also have serious distortion. In order to obtain an ultra-wide field of view or even a 360-degree panorama without reducing the image resolution, a computer image stitching method has emerged. [0003] Image stitching technology is mainly divided into three main steps: image preprocessing, image registration, and image fusion. Image preprocessing mainly refers to image noise suppression, texture and contrast enhancement...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T5/00G06T7/80G06K9/46G06K9/62
CPCG06T3/4038G06T5/002G06T5/006G06V10/40G06F18/22
Inventor 不公告发明人
Owner CHANGSHA PANODUX TECH CO LTD
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