Microscopic image rapid processing system

A microscopic image and processing system technology, applied in the field of image processing, can solve the problems of low efficiency of microscopic image processing, achieve the effects of improving the level of disease prevention and control, expanding the scope of application, and increasing the processing speed

Active Publication Date: 2020-09-11
WUHAN LANDING INTELLIGENCE MEDICAL CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a fast processing system for microscopic images, which can process microscopic images differently according to the size of terminal computing power resources, and solve microscopic The problem of low image processing efficiency

Method used

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  • Microscopic image rapid processing system
  • Microscopic image rapid processing system
  • Microscopic image rapid processing system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] Such as Figure 1~2 , A rapid microscopic image processing system, including a terminal and a server. The terminal includes a microscopic image scanning module, a terminal self-evaluation module, a microscopic image sorting module, and a microscopic image processing module;

[0043] The specific implementation steps are:

[0044] S1. When the terminal runs the microscopic image scanning module for the first time, the maximum value of the computing power required by the microscopic image scanning module is used as the reserved resource A. The computing power includes the resources of the CPU, the memory, and the external memory. And network bandwidth resources. For example, when running this system on a mobile terminal, you can read the data of / proc / stat, extract the CPU usage and idle data of each core, and use " / proc / " + pid + " / stat" to calculate, here I go back to Beijing for a series of calculations, and get the CPU time slice of the process. In this way, the CPU res...

Embodiment 2

[0050] Such as Figure 1~2 , A rapid microscopic image processing system, including a terminal and a server. The terminal includes a microscopic image scanning module, a terminal self-evaluation module, a microscopic image sorting module, and a microscopic image processing module;

[0051] The specific implementation steps are:

[0052] S1. Before running the microscopic image scanning module, determine whether there is a terminal workstation or preprocessing server. If so, only the microscopic image cropping process is performed, and the cropped microscopic image is uploaded to the terminal workstation or preprocessing server for microscopic image Splicing and microscopic image recognition processing. If not, run the microscopic image scanning module, and use the maximum computing power required by the microscopic image scanning module as the reserved resource A. The computing power includes CPU resources and memory resources Resources, external memory resources, and network band...

Embodiment 3

[0059] Such as Figure 1~2 , The available resource C is greater than the computing power required for microscopic image cropping and microscopic image mosaic processing, but less than the computing power required for microscopic image cropping, microscopic image mosaic and microscopic image recognition processing, the microscopic image processing module Perform microscopic image cropping and microscopic image mosaic processing. Microscopic images are preliminarily sorted according to codes and then spliced. The process of microscopic image mosaic includes: field of view sub-block matching, field of view position fitting and block extraction;

[0060] Such as image 3 , The matching process of field of view sub-blocks is:

[0061] Sa01, input, result set initialization M;

[0062] Sa02. Set the current field of view i as the first field of view;

[0063] Sa03. Find the set J of all adjacent fields of view i;

[0064] Sa04. Set the current adjacent field of view j as the first field of...

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Abstract

The invention provides a microscopic image rapid processing system. The system comprises a terminal and a server side, the terminal comprises a microscopic image scanning module, a terminal self-evaluation module, a microscopic image sorting module and a microscopic image processing module. The terminal evaluates the computing power resource of the terminal, or cuts the scanned microscopic image and uploads the cut microscopic image to the server, or carries out microscopic image splicing and microscopic image identification on the terminal, so that the computing power resource of the terminalis utilized to the maximum extent, and the microscopic image processing rate is greatly improved.

Description

Technical field [0001] The invention relates to the field of image processing, in particular to a rapid microscopic image processing system. Background technique [0002] When using a microscopic image acquisition device such as a mobile phone to capture microscopic images, the microscopic images acquired are too large and the number is too large. For example, each picture acquired with a mobile phone is compressed in size up to 10MB, and a slide of 1200 pictures may reach 12GB, if the terminal is only used for microscopic image scanning, and the microscopic image splicing and microscopic image recognition are processed by the cloud server, when the number of terminal devices is too large, the massive amount of data is enough to make the server down and affect the customer experience. Not conducive to large-scale popularization. Therefore, it is necessary to provide more service capabilities under the same server computing resources. With the development of terminal equipment h...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06K9/00
CPCG06F9/505G06V20/69G06V20/695G06V10/95G06V2201/03
Inventor 庞宝川曹得华肖笛罗强
Owner WUHAN LANDING INTELLIGENCE MEDICAL CO LTD
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