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An Image Mosaic Method Based on Affine Invariant Features

An image stitching and affine invariant technology, applied in the field of image processing, can solve the problems of low calculation efficiency, short time consumption, good stitching effect, etc., and achieve good stitching effect, good stability, and complete affine invariance effect

Active Publication Date: 2018-01-30
重庆信科设计有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to provide an image stitching method based on affine invariant features for the existing problem of low calculation efficiency using SIFT features, which has good stitching effect and short time consumption

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  • An Image Mosaic Method Based on Affine Invariant Features
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  • An Image Mosaic Method Based on Affine Invariant Features

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Embodiment Construction

[0038] The technical solution of the present invention will be further explained below by combining the drawings in the specification.

[0039] The idea of ​​the present invention is to aim at the existing image stitching algorithm based on SIFT feature points and SURF feature points. There are problems such as large amount of calculation and poor stitching effect on distorted images caused by affine. Firstly, the improved SURF algorithm is used to extract the stitched images. The image feature points are described, so that the extracted feature points have affine invariance, and then the Kd-tree algorithm based on the BBF mechanism is used to match the feature points, which improves the calculation speed of the algorithm.

[0040] Reference figure 1 , figure 2 , An image mosaic method based on affine invariant features of the present invention includes the following steps:

[0041] Input the image to be stitched and perform affine analog transformation:

[0042] Input two images to ...

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Abstract

The invention discloses an image mosaic method based on affine invariant features, which comprises the following steps: (1) using the SURF algorithm to extract image feature points from the image to be stitched, and describing the feature points; (2) using the BBF mechanism-based The Kd-tree algorithm performs image matching on the feature points, and uses the random sampling consensus algorithm to eliminate the mismatched point pairs; (3) The images are fused by the gradual in and gradual out method to eliminate stitching gaps. An image mosaic method based on affine invariant features of the present invention first adopts the improved SURF algorithm to extract image feature points of the image to be stitched, and describes the feature points so that the extracted feature points have affine invariance, and then adopts the method based on The Kd-tree algorithm of the BBF mechanism matches the feature points, which improves the algorithm operation speed.

Description

Technical field [0001] The invention belongs to the technical field of image processing, and specifically relates to an image stitching method based on affine invariant features. Background technique [0002] Image stitching technology is an important branch of digital image processing, which refers to stitching multiple images with overlapping areas into a seamless high-resolution image with a larger field of view. Image mosaic technology has been widely used in medical image processing, panoramic image synthesis, remote sensing image processing, virtual reality and other fields. It has strong commercial value and has gradually become a research direction of interest to many scholars. The existing image mosaic mainly includes two key technologies: image registration and seamless image fusion. According to the registration method, image mosaic methods can be roughly divided into methods based on pixel brightness difference optimization, methods based on transform domain, and meth...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40G06T5/50
Inventor 文凯吴翠先刘欣范文倩
Owner 重庆信科设计有限公司
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