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Fast image splicing method based on grid partition feature point reduction

A fast stitching and feature point technology, applied in the field of image processing, can solve the problems of unable to meet the needs of real-time stitching, large-scale optimization matrix, and serious calculation time-consuming, so as to shorten the stitching time, avoid the increase of registration error, and accelerate The effect of the stitching process

Pending Publication Date: 2022-03-22
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, if the feature points are directly extracted, the number of feature points on each image is too large, the optimization matrix is ​​too large during iterative optimization, and the calculation time is very serious, which cannot meet the needs of real-time stitching in actual application scenarios.

Method used

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  • Fast image splicing method based on grid partition feature point reduction
  • Fast image splicing method based on grid partition feature point reduction
  • Fast image splicing method based on grid partition feature point reduction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] A fast image mosaic method based on the reduction of grid-distinguished feature points, in order to speed up the mosaic speed of multiple images under the premise of obtaining a better mosaic effect, so as to meet the needs of actual industrial applications, including extracting the content of all images to be mosaic According to the grid partition method, the feature points in the image are divided into multiple regions, 60% of the feature points are randomly selected in each region to be retained, and the remaining feature points are removed, so that the optimization matrix in the iterative optimization process The scale is significantly smaller, and the splicing speed is greatly accelerated. At the same time, due to the use of grid partitioning, it is ensured that the feature points after the reduction can still maintain a relatively uniform distribution of the original feature point positions, and the registration error will not be increased due to the abnormal distr...

Embodiment 2

[0083] A computer device includes a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor implements the fast image stitching method when executing the computer program.

[0084] The fast splicing method of images comprises:

[0085] A fast image mosaic method based on grid partition feature point reduction, including:

[0086] Obtain the image to be spliced;

[0087] Extract the feature points of each image separately;

[0088] Obtain feature interior points between matching images according to the extracted feature points;

[0089] Obtain image matching pairs according to feature interior points;

[0090] The matched feature interior points are reduced by the grid differentiation method;

[0091] Calculate the transformation matrix between every two matching images according to the reduced feature interior points;

[0092] Calculate the transformation matrix of each picture according to the reduced interior poi...

Embodiment 3

[0095] A storage medium, on which a computer program is stored, and when the computer program is executed by a processor, any one of the image fast stitching methods described above is realized.

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Abstract

The invention discloses a fast image splicing method based on grid partition feature point reduction, which comprises the following steps: reading an original image to be spliced, and carrying out de-noising preprocessing on the image; extracting SIFT features of all the images; purifying through an RANSAC (Random Sample Consensus) algorithm to obtain inner points between the matched images; according to Bayesian estimation, judging an image matching relationship through a quantitative relationship between the inner points and the original feature points; dividing the image into dense grids by using a grid partitioning method, and reducing inner points in each grid; calculating a transformation matrix between any two matched images as an optimization initial value according to the reduced feature inner points; calculating a transformation matrix of each image according to the reduced interior point matching relation by adopting an iterative optimization mode; and obtaining a final splicing effect picture by adopting an average value fusion method. According to the method, the splicing quality can be ensured, and meanwhile, the time required for splicing a plurality of pictures can be effectively shortened, so that the industrial real-time splicing requirement can be met.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a fast image mosaic method based on grid partition feature point reduction. Background technique [0002] Image stitching is a technology that combines two or more narrow-angle, low-resolution images with a certain overlapping area to form a wide-angle, high-resolution image. It is widely used in actual scenes, such as drone aerial photography, virtual Reality, medical image processing, etc. In many types of actual scene applications, such as the actual battlefield surveillance process, it is necessary to complete image stitching in real time during the aerial photography process of the UAV, and return to the real battlefield scene in real time to assist in battlefield decision-making. Therefore, fast image stitching is an extremely important requirement for practical application scenarios. The main operation steps of image stitching technology can be summarized into f...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T5/50G06K9/62G06V10/75G06V10/762G06V10/764
CPCG06T3/4038G06T5/50G06T2200/32G06T2207/20221G06F18/23213G06F18/24155
Inventor 贺霖贺新国
Owner SOUTH CHINA UNIV OF TECH