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Automatic registering and fused splicing method of multiple images

A fusion stitching and automatic registration technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of manual sorting of multiple images, fuzzy image details, uneven illumination, etc., to solve the problem of shooting location differences, enhance Image detail, contrast enhancement effects

Active Publication Date: 2017-06-23
XUZHOU UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0004] In order to solve the shortcomings of the existing registration and fusion stitching methods due to the particularity of medical imaging, the present invention provides a multi-image automatic registration and fusion stitching method, which greatly improves the manual sorting of multiple images. Difficulty, fuzzy image details, low resolution, high noise, uneven illumination and other problems have an impact on image registration and mosaic, which helps save the cost of imaging equipment and accurate diagnosis for medical staff. The field of medical imaging has a good application prospect

Method used

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  • Automatic registering and fused splicing method of multiple images
  • Automatic registering and fused splicing method of multiple images
  • Automatic registering and fused splicing method of multiple images

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Embodiment Construction

[0018] A method of multi-image automatic registration and fusion splicing, the specific implementation steps are as follows:

[0019] (1) Input an unsorted image sequence, and use the multi-scale Retinex method to enhance image details and improve contrast; including the following steps:

[0020] (1.1) The pixels in the original image I(x,y) are decomposed into two independent parts: the incident illuminance component L(x,y) determined by the brightness of the surrounding environment and the reflection component R(x, y), the original image is expressed as: I(x,y)=L(x,y)*R(x,y);

[0021] Among them, L(x,y) determines the dynamic range of the pixel, reflecting the slowly changing low-frequency information, and R(x,y) determines the intrinsic nature of the pixel, reflecting the high-frequency detail information;

[0022] (1.2) Using logarithm to separate the incident and reflected components, the single-scale Retinex formula is expressed as follows:

[0023]

[0024] In the above formula ...

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Abstract

The invention relates to an automatic registering and fused splicing method of multiple images. The unordered images are enhanced in a multi-dimension Retinex method; the images match each other by utilizing a logarithm polar coordinate transformation improved phase correlation algorithm, zooming, rotation and translation parameters are calculated, an overlapped area among the images is estimated roughly, and an ordering rule is formulated according to energy peak values of an impulse function; an SUFR algorithm is used to extract characteristic points from the overlapped area to be registered, a random sampling consistent algorithm is improved to purify matching point pairs accurately, model parameters are optimized, a transformation matrix among the images is established, and sequential images are spliced successively; and an NSCT algorithm is utilized, a fusion strategy is made to further fuse spliced images, and a spliced image after fusion is output. The method of the invention can be used to reduce influence of difficult manual ordering, fuzzy image details, low resolution, high noise, nonuniform illumination and the like on image registration and splicing, provides help for reducing cost of imaging equipment and accurate diagnosis of medical staff, and has good application prospects in the medical image assisted field.

Description

Technical field [0001] The present invention relates to the technical fields of machine vision and image processing, in particular to a method for automatic multi-image registration and fusion splicing; Background technique [0002] At present, most of the images taken by medical imaging equipment are partial pictures with limited field of view. The panoramic image equipment is expensive and difficult to promote. The use of image stitching technology to generate panoramic pictures has low cost and good effect. It provides overall target images and is convenient for medical affairs. Personnel can perform better diagnosis and treatment, and can be used in X-ray imaging, ultrasound inspection, etc. In recent years, splicing technology has made great progress at home and abroad. Common registration methods include transform domain matching, gray matching, and feature matching , Template matching, etc., by calculating the transformation parameters between images, the multiple images t...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T5/50G06T7/00G06T7/33
CPCG06T3/4038G06T5/50G06T7/0012G06T2207/10016G06T2207/20221G06T2207/30061
Inventor 厉丹鲍蓉肖理庆党向盈
Owner XUZHOU UNIV OF TECH
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