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Image splicing method based on improved SURF algorithm

A technology of image stitching and algorithm, which is applied in the field of image stitching of SURF algorithm, can solve the problems of long image stitching time and low precision, and achieve the effect of fast stitching speed, strong stability and good stitching effect

Pending Publication Date: 2020-11-17
NANJING NORMAL UNIVERSITY
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Problems solved by technology

[0005] Purpose of the invention: In order to solve the above problems, provide an image stitching method based on the improved SURF algorithm, which can improve the traditional image stitching time and low precision to a certain extent

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  • Image splicing method based on improved SURF algorithm
  • Image splicing method based on improved SURF algorithm
  • Image splicing method based on improved SURF algorithm

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Embodiment Construction

[0046] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0047] The present invention proposes an image mosaic method based on an improved SURF algorithm, such as figure 1 As shown, it specifically includes the following steps:

[0048] Step 1: Preprocess the input image and reduce the image size.

[0049] first enter figure 2 The two original images shown, preprocess the two images, press The reduction ratio scales the image to a suitable size, and l, w are the length and width of the input image, respectively.

[0050] Step 2: Use the improved SURF algorithm to extract the feature points of the two images. Specific steps are as follows:

[0051] (2-1) Introduce the feature point area restriction function:

[0052]

[0053]Among them, x, y are pixel coordinates; A, B are image sizes; τ is the area range of effective splicing feature points. Use this function to limit the range of feature points to the ...

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Abstract

The invention discloses an image splicing method based on an improved SURF algorithm, and the method comprises the steps: firstly preprocessing an image, and reducing the size of the image; adopting an improved SURF algorithm to extract image feature points so that the detection speed of the improved SURF algorithm is higher; compared with a traditional algorithm, the stability of the improved SURF algorithm is better; matching feature point pairs by adopting a Laue algorithm, removing mismatching point pairs by adopting an RANSAC algorithm, calculating a transformation matrix for affine transformation; and finally, integrating images by adopting a progressive evanescent weighted integration algorithm to obtain an image with a larger visual angle after splicing. On the basis of ensuring the accuracy and stability of image splicing, the splicing speed is increased, and the method is a good and effective image splicing method.

Description

technical field [0001] The invention belongs to the field of digital image processing, and in particular relates to an image splicing method based on an improved SURF algorithm. Background technique [0002] Image stitching is a technology that stitches two or more images with overlapping areas into one image with a wider viewing angle and higher resolution. It is a key research content in the field of computer vision. The main purpose of image stitching technology is to increase the viewing angle of the image, which helps to grasp more comprehensive and intuitive information. Image stitching technology has a wide range of applications, mainly involving remote sensing images, medical images, virtual reality, intelligent driving systems, and UAV aerial images. [0003] The complete image stitching algorithm includes three steps: image preprocessing, image registration and image fusion. The key research content is image registration and fusion. Image registration methods fal...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T5/50G06K9/46G06K9/62
CPCG06T3/4038G06T5/50G06T2207/20016G06T2207/20024G06T2207/20221G06V10/462G06F18/22
Inventor 唐小波徐衍微申忠宇许强
Owner NANJING NORMAL UNIVERSITY
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