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Fast image splicing method based on improved SURF algorithm

A fast splicing and improved technology, applied in image enhancement, image data processing, computing, etc., can solve the problems of inability to find algorithms for speed and splicing quality

Active Publication Date: 2015-02-25
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the main problem of image stitching is that it is impossible to find an algorithm that can balance speed and stitching quality well.

Method used

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  • Fast image splicing method based on improved SURF algorithm
  • Fast image splicing method based on improved SURF algorithm

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Embodiment

[0081] The hardware environment of the simulation test is a HP workbench, and the hardware configuration is an Intel Core2 CPU with a main frequency of 3.00GHz and a memory of 2.98GB. The software environment is Visual Studio 2008.

[0082] In the simulation experiment, two pictures are used. The picture resolution is 704×576 pixels, and the format is bmp bitmap. The two images contain partially intersecting scenes. One of them is used as a reference image, and the other is used as an image to be stitched. The improved FAST method is used to extract the corner points respectively. Then, the corner points extracted from the two images are matched using the improved SURF description method. See matching results Figure 6 .

[0083] Such as Figure 6 , in which 188 corner points that meet the conditions are found in the reference image, and it takes 28.46ms; 217 corner points that meet the conditions are found in the image to be stitched, and it takes 17.70ms. The matchin...

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Abstract

The invention discloses a fast image splicing method based on an improved SURF algorithm. An existing corner extraction method and an existing corner feature description method are improved, mismatching of extracted corners is eliminated, and multiple images can be spliced fast. At first, an improved FAST algorithm is adopted for increasing the extracted corners, the operation speed of the FAST algorithm for extracting the corners is high, and after the improvement is carried out, the stability is good; secondly, the combination of SURF description and LBP description is adopted for describing the corner feature, and in this way, the speed for matching the corners can also be increased; then an RANSAC method is adopted for eliminating mismatching, accuracy is improved, and a more accurate transformation matrix is obtained, so that fast splicing is carried out; finally, according to obtained matching point pairs, parameters for transforming images to be spliced into reference images are calculated, and a slow-in and slow-out method is adopted for finishing image splicing.

Description

technical field [0001] The present invention relates to an image fast mosaic method based on an improved SURF (Speed ​​Up Robust Feature) algorithm, which is suitable for remote sensing image processing, medical image analysis, cartography, large scene video monitoring and super-resolution reconstruction and other fields. Background technique [0002] Image mosaic technology is one of the popular research directions of digital image processing, and it has a wide range of applications in military and civilian applications. In people's actual life applications, the required scenes often exceed the viewing angle range of digital cameras, surveillance cameras, and the like. In order to obtain images with high resolution and large viewing angles, people have to use various expensive lenses and cameras, which will greatly increase the cost. The so-called image stitching technology is the technology of stitching several overlapping images (which may be obtained at different times...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
Inventor 董小舒秦晅卞志国卢旻昊刘超李岚俊
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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