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Image registration and multi-resolution fusion-based panoramic image splicing method

A multi-resolution, image registration technology, applied in the field of panoramic image stitching, can solve the problems of long time consumption, poor stitching effect, uneven image exposure, etc.

Inactive Publication Date: 2018-08-17
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problems of more time spent in the image stitching process and poor stitching effect.
Aiming at the problem of uneven image exposure and stitching seams, brightness equalization and local color mapping are used to make the image exposure uniform

Method used

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  • Image registration and multi-resolution fusion-based panoramic image splicing method
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Embodiment Construction

[0061] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0062] The technical scheme that the present invention solves the problems of the technologies described above is:

[0063] 1. As attached figure 1 As shown, the panoramic image stitching technology based on image registration and multi-resolution fusion includes the following steps:

[0064] Step S1, preprocessing the input image sequence to be spliced;

[0065] In step S2, the reference image L and the target image R are binarized using an adaptive threshold value, and the areas with inconspicuous contour features are removed by hole filling, and then the fast contour extraction is performed through the pixel neighborhood relationship model to obtain L contour and R contour ;

[0066] Step S3, throu...

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Abstract

The invention discloses an image registration and multi-resolution fusion-based panoramic image splicing method. An adaptive threshold of sequence images is subjected to binary processing and image contour information is extracted by utilizing a pixel neighborhood relationship; a similar region of an image contour structure is quickly estimated through a similarity measurement method for Hu momentinvariant features; and SIFT feature point extraction is performed in a similar region part of two original images. Moreover, feature point initial matching is performed by using a bidirectional K-nearest classification algorithm; mismatched points are screened by an RANSAC algorithm; and an affine transformation matrix among the images is estimated. In addition, in an image fusion aspect, brightness equalization and local color mapping processing is adopted. Then, through an improved Laplacian pyramid multi-resolution fusion algorithm, spliced images are fused to realize seamless splicing. According to the method, the image splicing time is shortened, the image splicing efficiency is improved, the similar region can be quickly located, the mismatch in splicing is effectively improved, and the image registration precision is improved.

Description

technical field [0001] The invention belongs to the field of computer vision and image processing, in particular to a panoramic image splicing method. Background technique [0002] With the rapid development of computer vision, society's demand for image processing is also increasing. A group of image sequences that are spatially related to each other and have some overlapping areas are registered, and after resampling and fusion, a complete, high-definition new image of a wide-view scene containing the information of each image sequence is formed. The technique of high-resolution seamless images is called image stitching. Image stitching technology can synthesize the collected image sequence into a seamless panoramic high-definition image, and its application prospect is very broad. Image stitching also has important theoretical significance in the fields of virtual reality, remote sensing image processing, medical image analysis, and photogrammetry. and application value...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06K9/46G06K9/62G06T7/136G06T7/12G06T5/00
CPCG06T3/4038G06T7/12G06T7/136G06T2207/20221G06V10/462G06F18/22G06T5/80G06T5/77
Inventor 杨春德吴戈史晶耿明月
Owner CHONGQING UNIV OF POSTS & TELECOMM
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