Method and system for comparing image definition and automatic focusing control method

A technology of sharpness and image, applied in image analysis, image data processing, instrument and other directions, can solve the problem of low quantification accuracy

Active Publication Date: 2013-12-25
SHENZHEN HYK HIGH THROUGHPUT BIOTECH INST
View PDF3 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] The purpose of the present invention is to provide a new method and system for comparing the clarity of multiple sequencing images, aiming to solve the problem of low quantification accuracy in the prior art when evaluating the quality of sequencing images with different degrees of blur

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
  • Method and system for comparing image definition and automatic focusing control method
  • Method and system for comparing image definition and automatic focusing control method
  • Method and system for comparing image definition and automatic focusing control method

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0129] The present invention proposes a first embodiment, a method for comparing the clarity of multiple sequencing images, including the following steps:

[0130] Step A. Carry out harmonic analysis processing on multiple sequencing images respectively, and obtain multiple harmonic analysis processing graphs corresponding to the sequencing images;

[0131] Step B. Fit a plurality of closed curves corresponding to the sequencing image according to the texture features of the harmonic analysis processing image corresponding to the sequencing image;

[0132] Step C. Determine the area ratio between the graph represented by the closed curve corresponding to the sequencing image and its corresponding sequencing image;

[0133] Step D. Determine the sequence image with the highest definition among the multiple sequence images according to the size of the area ratio.

[0134] After multiple sequencing images used for comparison are processed by the method of this embodiment, the ar...

no. 3 example

[0162] The present invention proposes a third embodiment, comprising the following steps:

[0163] Step B1. Use a circular structure element with a radius of r to perform closed operations on the multiple Fourier transform graphs obtained through Step A;

[0164] Step B2. Utilize the circular structure element whose radius is R to carry out the opening operation on the result image obtained through Step B1 respectively;

[0165] Step B3. Use the edge detection method to extract the edges of the resulting images obtained in Step B2, and then perform curve fitting to obtain multiple elliptic curves or circular curves corresponding to the sequencing images.

[0166] It should be noted:

[0167] In a third embodiment, R>r; as figure 1 As shown in d, through the closed operation of the Fourier transform image, the dark point details in the bright area can be removed, so that the outline of the ellipse or circle can be clearly expressed; because there are many ellipses or circles ...

no. 4 example

[0168] In order to further reduce interference to subsequent edge extraction, the present invention proposes a fourth embodiment, including the following steps:

[0169] Step B1. Use a circular structure element with a radius of r to perform closed operations on the multiple Fourier transform graphs obtained through Step A;

[0170] Step B1'. The gray level in the result image obtained by Step B1 is less than or equal to a value reset to 0;

[0171] Step B2. Utilize the circular structural element whose radius is R to carry out the opening operation to the result image obtained through Step B1' respectively;

[0172] Step B3. Use the edge detection method to extract the edges of the resulting images obtained in Step B2, and then perform curve fitting to obtain multiple elliptic curves or circular curves corresponding to the sequencing images.

[0173] It should be noted that, in the fourth embodiment, 10r; compared with the third embodiment, the result image obtained by the clo...

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 relates to the field of high-flux gene sequencing, and provides a method and system for comparing definition of a plurality of sequencing images and an automatic focusing control method. According to the method for comparing the definition of the sequencing images, harmonic analysis processing is carried out on the sequencing images, then closed curves are fitted according to textural features of harmonic analysis processing pictures, the area ratios of the figures corresponding to the closed curves to the corresponding sequencing images are obtained according to the closed curves, and accordingly the sequencing image with the highest definition is determined by comparing the area ratios. Compared with the prior art, the method and system have the advantage of being high in quantizing precision. Besides, the invention further provides an automatic focusing control method based on the definition comparing method, and according to the method, an automatic focusing position can be accurately positioned.

Description

technical field [0001] The invention relates to the field of high-throughput gene sequencing, more specifically, to a method and system for comparing the clarity of multiple sequencing images, and an automatic focus control method. Background technique [0002] High-throughput gene sequencing images carry a wealth of human genetic information, and extremely high resolution requirements have become an important part of measuring the success of experiments. High-throughput gene sequencing images are highly diverse in texture density, which is a typical no-reference image quality inspection in the process of image quality inspection. The no-reference image quality evaluation method is a method to obtain a quality score value consistent with the visual perception of the human visual system without an original image that can be referenced and compared. At present, the non-reference image quality evaluation methods for digital image sharpness mainly include gray average gradient ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 盛司潼
Owner SHENZHEN HYK HIGH THROUGHPUT BIOTECH INST
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap