Affine invariant feature-based image splicing method

An image stitching and affine invariant technology, applied in the field of image processing, can solve problems such as low computational efficiency, good stitching effect, and short time consumption

Active Publication Date: 2015-07-01
重庆信科设计有限公司
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[0004] The purpose of the present invention is to provide an image stitching method based on affine invariant features for the

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[0038] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0039] The idea of ​​the present invention is to solve the existing image mosaic algorithm based on SIFT feature points and SURF feature points, which has 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 feature points of the image 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 algorithm operation speed.

[0040] refer to figure 1 , figure 2 , a kind of image splicing method based on affine invariant feature of the present invention, comprises the following steps:

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

[0042] Input two images to be splic...

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Abstract

The invention discloses an affine invariant feature-based image splicing method. The method includes the steps of 1, extracting feature points of images to be spliced, by a SURF algorithm, and describing the feature points; 2, subjecting the feature points to image matching by a Kd-tree algorithm based on the BBF (bacterial biofilm) mechanism, and removing mistakenly matched paired points by a random sample consensus algorithm; 3, fusing the images by a fade-in and fade-out method to eliminate splicing slits. The method has the advantages that the images to be spliced are subjected to extraction of the feature points by the modified SURF algorithm, the feature points are described, the extracted feature points are of affine invariance, the feature points are matched by the Kd-algorithm based on the BBF mechanism, and calculation speed of the algorithm is increased.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image mosaic 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 stitching 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 that many scholars are interested in. The existing image stitching mainly includes two key technologies: image registration and image seamless fusion. According to the registration method, image stitching methods can be roughly divided into methods based on pixel brightness difference optimization, methods based on transf...

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Application Information

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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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