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A manual real-time stitching method for microscope video streams

A video stream and microscope technology, applied in the field of image processing, can solve the problems of slow matching speed and large amount of matching calculation, and achieve the effects of low manufacturing cost, high fault tolerance rate, and high fluency of use

Active Publication Date: 2021-08-03
杭州图谱光电科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The video frame matching methods disclosed in these two patent applications all use a pure software-side processing method, which has a large amount of matching calculations and a slow matching speed

Method used

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  • A manual real-time stitching method for microscope video streams
  • A manual real-time stitching method for microscope video streams
  • A manual real-time stitching method for microscope video streams

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Embodiment Construction

[0082] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.

[0083] like figure 1 As shown, a manual real-time splicing method for microscope video streams provided in this embodiment includes the following steps:

[0084] Step 1: The image sensor captures the initial spliced ​​image and sends it to the cache queue. In the image cache queue, select the clearest first image as the initial reference frame.

[0085] Step 2: While the microscope XY rotates the handwheel to move the stage to observe different areas of the slice, the image sensor continuously captures the current image and sends it to the cache queue. In the image cach...

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Abstract

The invention discloses a manual real-time mosaic method for microscope video streams, comprising the following steps: firstly, automatically delete and select input frames; and then perform image registration by using a three-step registration method of rough matching-fine matching-rematching In order to improve the speed and accuracy of image matching; finally, the selection of reference frames and fusion stitching are carried out. In addition, in view of the possible mismatching problems that may occur during the dynamic stitching process, two schemes, automatic error correction and manual error correction, are designed to ensure successful or non-continuous sample mosaic of manual stitching. The manual real-time stitching method can manually control the stitching speed according to the image matching quality, which can not only ensure the accuracy of image stitching, but also improve the speed of image stitching.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a manual real-time splicing method for microscope video streams. Background technique [0002] Small objects can be seen through a microscope, but under high magnification, the scope of observation of the microscope is very small, and a large area of ​​interest cannot be displayed in the same field of view, which causes great inconvenience to microscopic observation and operation, especially in The field of biological and medical microscopic observation. Therefore, it is necessary to use image stitching technology to stitch different field of view images into one large field of view image to increase the field of view or improve the observation resolution. [0003] The current image stitching algorithm mainly has two processing methods, one is pure software-side processing, focusing on the stitching of two adjacent images or multiple images, while emphasizing accuracy, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N21/234H04N21/44
CPCH04N21/23424H04N21/44016
Inventor 余飞鸿陈诗敏朱晨辉周海洋
Owner 杭州图谱光电科技有限公司
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