Large-scale microscopic image splicing algorithm based on optical flow assistance

A microscopic image, large-scale technology, applied in the direction of image enhancement, image analysis, image data processing, etc., can solve the problems of splicing failure, excessive displacement, etc., and achieve the effect of high resolution and large field of view

Inactive Publication Date: 2017-11-03
NINGBO YONGXIN OPTICS
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Problems solved by technology

[0003] The technical problem to be solved by the present invention is to introduce an optical flow auxiliary algorith

Method used

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  • Large-scale microscopic image splicing algorithm based on optical flow assistance
  • Large-scale microscopic image splicing algorithm based on optical flow assistance
  • Large-scale microscopic image splicing algorithm based on optical flow assistance

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Embodiment

[0026] Example: an optical flow-assisted large-scale microscopic image stitching algorithm, the algorithm structure is as follows Figure 5 shown, including the following steps:

[0027] Step 1: Use the NLCD-307 microscope produced by Ningbo Yongxin Optics, and use a 40x objective lens to collect images. The camera uses a UCMOS05100KPA camera to collect the images of the digital microscope in real time through the camera. The image resolution is set to 2592×1944, such as image 3 As shown, in the image stitching acquisition mode, in the initialization stage, the first frame image collected by the camera is used as the initial image, and the optical flow between the image of the current video stream and the initial image is calculated, and between two adjacent images, The optical flow method based on the pyramid Lucas-Kanade algorithm is introduced to detect the displacement between images. The specific methods are: 1) A series of image sequences of different scales are establi...

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Abstract

The invention discloses a large-scale microscopic image splicing algorithm based on optical flow assistance. The algorithm is characterized in that 1, images of a digital microscope is acquired in real time through a camera, and displacement between images detected through the optical flow method, which is achieved based on the pyramid Lucas-Kanade algorithm is introduced between two adjacent images; 2, all feature points on the two acquired images are detected; 3, the feature points are matched; 4, the feature points are optimized and the mis-matched feature points are removed; 5, through an optimal homography matrix and an optimal feature point matching pair, image moving parameters consisting of an inner parameter matrix, an outer parameter matrix and a stretching factor of the camera are calculated and estimated, then affine transformation, distortion correction and translation transformation are performed on the acquired images, and all the acquired images are converted into to-be-synthesized images; and 6, the to-be-synthesized images are fused into a complete full-vision microscopic image. The algorithm is advantaged by capability of acquiring images with the quite large view field and high resolution.

Description

technical field [0001] The patent of the present invention relates to an image stitching algorithm applied in the field of microscopy, in particular to an optical flow-assisted large-scale microscopic image stitching algorithm. Background technique [0002] Microscopic image stitching technology has a wide range of application requirements in the field of life medicine and industry, and is one of the essential core functions of modern high-end digital microscopes. In both brightfield and fluorescence microscopes, obtaining panoramic images of samples with a large field of view and high resolution is crucial for subsequent analysis and processing. However, because the field of view and resolution are inversely proportional in the optical field, obtaining an image with a large field of view and high resolution has very strict requirements on the optical system of the microscope. In the field of digital microscopy, the most commonly used technology to solve this kind of proble...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T7/33G06T7/80
CPCG06T3/4038G06T7/337G06T7/80G06T2207/10061G06T2207/30024
Inventor 郑驰萨尔瓦多·加西亚·博纳张克奇
Owner NINGBO YONGXIN OPTICS
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