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Method for improving accuracy and stability of image mosaic

An image stitching and stabilization technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as time-consuming and insufficient accuracy of homography matrix.

Inactive Publication Date: 2010-11-10
SHANGHAI JIAO TONG UNIV
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AI Technical Summary

Problems solved by technology

The RANSAC method can deal with the situation where there is a mismatch between point pairs. However, when the proportion of mismatches in the total matching point pairs is large, the time-consuming of the RANSAC method will be quite large, and the accuracy of the homography matrix will also be limited by the number of sampling times. Impact

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  • Method for improving accuracy and stability of image mosaic
  • Method for improving accuracy and stability of image mosaic
  • Method for improving accuracy and stability of image mosaic

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Embodiment

[0076] This example is used to figure 1 (a) The images shown in (a) are spliced ​​into figure 1 On the image shown in (b), the spliced ​​image is as follows figure 1 As shown in (c), it specifically includes the following steps:

[0077] The first step is to extract SIFT feature points from the two images to be stitched, and match the obtained two sets of SIFT feature points to obtain the initial matching point pair set {(x Li , x Ri )|1≤i≤N}, N is the total number of matching point pairs in the initial matching point pair set. x Li =(x Li ,y Li ,1) T is the homogeneous coordinates of the matching points in the first picture in the i-th group of matching point pairs, (x Li ,y Li ) T The pixel coordinates in the coordinate system established with the pixel point at the upper left corner of the first image as the origin; x Ri =(x Ri ,y Ri ,1) T is the homogeneous coordinates of the matching points in the second picture in the i-th group of matching point pairs, (x ...

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Abstract

The invention relates to a method for improving accuracy and stability of image mosaic, belonging to the technical field of video image processing. The method of the invention comprises the following steps: extracting and matching SIFT characteristic points of an image to be mosaicked to obtain an initial matching point pair set; eliminating error matching to obtain a uniform maximum inner point set meeting the same homography matrix; normalizing direct linear change to obtain initial estimate of the homography matrix, and carrying out LM iterative optimization on the initial estimate of the homography matrix to obtain the optimum estimate of the homography matrix; mosaicking the images; determining the public area of two images to be mosaicked and obtaining the sub-images of the two images contained in the minimum external rectangle of the public area; carrying out seamless integration; and sticking the integrated image to the public area to obtain the final result of image mosaic. The invention can carry out image mosaic under the condition that a big amount of error matching exists in the initial matching point pair, and the mosaic has high accuracy, short time consumption and good stability.

Description

technical field [0001] The invention relates to a method in the technical field of video image processing, in particular to a method for improving the accuracy and stability of image splicing. Background technique [0002] Image mosaic technology can be used to create high-resolution images with large viewing angles, and has a wide range of applications in the fields of virtual reality, medical image processing, and remote sensing technology. The process of image mosaic consists of two steps of image registration and image synthesis, in which image registration is the basis of the whole image mosaic. The quality of image stitching mainly depends on the degree of image registration, so image registration is the core and key of the stitching method. According to different image registration methods, image stitching methods can generally be divided into two types: region correlation-based stitching methods and feature-correlation-based stitching methods. Generally speaking, t...

Claims

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Application Information

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IPC IPC(8): G06T5/50
Inventor 姚达周军安然
Owner SHANGHAI JIAO TONG UNIV
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