Microscopic image splicing method and system

A kind of image stitching and microcosmic technology, which is applied in the field of image processing, can solve the problems of large amount of calculation and long time consumption, and achieve the effect of small amount of calculation, short time consumption and improved stitching efficiency

Active Publication Date: 2021-08-03
HUAZHONG UNIV OF SCI & TECH
View PDF14 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004]Aiming at the defects and improvement needs of the prior art, the present invention provides a microscopic image stitching method and system, the purpose of which is to improve the calculation amount of the existing microscopic image stitching method Large and time-consuming problems, thus greatly improving the stitching efficiency of microscopic images

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Microscopic image splicing method and system
  • Microscopic image splicing method and system
  • Microscopic image splicing method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0049] It should be noted that, in operation S2, determining the target feature point corresponding to each source feature point in the microscopic image corresponding to the target image overlapping area includes at least the following two implementations: directly in the target image overlapping area that has been stitched currently Detect target feature points; or, detect target feature points in the original microscopic image corresponding to the overlapping area.

[0050] Operation S3, searching for all feature points in the window centered on any target feature point, calculating the distance between the source feature point corresponding to any target feature point and each detected feature point in the window, and according to the minimum distance The ratio between the source feature point and the second smallest distance determines whether the source feature point matches the feature point corresponding to the minimum distance.

[0051] Still taking the above overlapp...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a microscopic image splicing method and system, and belongs to the field of image processing, and the method comprises the steps: controlling an image collection unit to successively translate and collect microscopic images at all positions of a sample, and enabling the size of an overlapping region of adjacent images to be equal to a set value; searching source feature points in the source image overlapping area, determining corresponding target feature points in the microscopic image corresponding to the target image overlapping area, and the target image is the microscopic image after current splicing; searching all feature points in a window taking any target feature point as the center, calculating the distance between the corresponding source feature point and each feature point in the window, and judging whether the source feature point is matched with the feature point corresponding to the minimum distance according to the ratio of the minimum distance to the second minimum distance; splicing the source image and the target image according to a matching result, and taking the spliced image as the target image; and so on, until the last microscopic image is spliced to the target image. The calculated amount is small, the consumed time is short, and the splicing efficiency is greatly improved.

Description

technical field [0001] The invention belongs to the field of image processing, and more specifically relates to a microscopic image splicing method and system. Background technique [0002] In many scientific research fields, it is necessary to observe the microscopic morphology of the target to be detected, such as medical, biological, material and precision manufacturing and other fields. In order to obtain the microscopic shape of the target to be detected, a camera and lens with sufficient resolution are needed to obtain a suitable observation image. However, the increase in resolution will inevitably lead to a decrease in the field of view of the camera, which leads to direct observation of only a part of the target to be detected. On the premise of ensuring a suitable resolution, directly increasing the size of the photosensitive element of the camera will not only greatly increase the cost, but also cannot solve the demand for a larger observation range, which requir...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T3/40
CPCG06T3/4038
Inventor 徐洲龙王培琳陈建魁刘振东
Owner HUAZHONG UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products