Supercharge Your Innovation With Domain-Expert AI Agents!

AFM scanning image hysteresis correction method through hysteresis model based on image

A scanning image and model correction technology, which is applied in the field of image-based hysteresis model correction AFM scanning image hysteresis, can solve the problems of high control difficulty, increased cost, and large amount of calculation, and achieve good robustness, cost saving, and large amount of calculation. small effect

Active Publication Date: 2018-05-08
HEFEI UNIV OF TECH
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the existing solutions: the feedforward control method has a large amount of calculation, the model parameters are easily affected by the environment, and the accuracy is limited; the feedback control method requires a special fixture to install the sensor, resulting in a complex structure and increased cost; the charge control method requires Special driver with narrow bandwidth and high control difficulty, resulting in complex structure and affecting the effect

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
  • AFM scanning image hysteresis correction method through hysteresis model based on image
  • AFM scanning image hysteresis correction method through hysteresis model based on image
  • AFM scanning image hysteresis correction method through hysteresis model based on image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] Such as figure 1 As shown, a method for correcting AFM scanning image hysteresis based on an image-based hysteresis model of the present invention includes the following specific steps:

[0032] (1) Establish an image-based hysteresis model:

[0033]

[0034]

[0035] where p max is the maximum value of the abscissa of the scanned image, p 1 is the abscissa of any point D on the sample in the reverse scanning image, p 2 is the abscissa of the same arbitrary point D on the sample in the hysteresis-corrected image, p 3 is the abscissa of the arbitrary point D on the sample in the forward scan image.

[0036] (2) Use an atomic force microscope to obtain forward scan images and reverse scan images of the sample. Using an atomic force microscope according to figure 2 The scan path is used to scan. In the line scan, the image during the forward scan is the forward scan image, and the image during the reverse scan is the reverse scan image. image 3 For the forwa...

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 an AFM scanning image hysteresis correction method through a hysteresis model based on an image. The method comprises the following steps that 1) the hysteresis model based onthe image is established; 2) the forward scanning image and the reverse scanning image of an atomic force microscope are acquired, and feature point matching is performed on the two images so that sothat the coordinate information of multiple sets of matched feature points can be obtained; 3) the parameters of the hysteresis model are calculated according to the coordinate information of the matched feature points in the two images; and 4) coordinate transformation and reconstruction are performed on the forward scanning image and the reverse scanning image according to the hysteresis model so that the image after hysteresis correction can be obtained. The reasonable and simple hysteresis model based on the scanning image is put forward, and hysteresis correction can be performed by usingthe image obtained by original scanning without reconstructing the hardware of the atomic force microscope so that the cost can be saved and the low-hysteresis and high-quality image can be providedfor the atomic force microscope.

Description

technical field [0001] The invention relates to the technical field of atomic force microscope imaging, in particular to a method for correcting AFM scanning image hysteresis based on an image hysteresis model. Background technique [0002] Most scanning probe microscopes use piezoelectric ceramics as drivers to scan the surface of the sample to obtain three-dimensional topography images, such as tunneling scanning microscopes and atomic force microscopes. However, the errors caused by the nonlinearity caused by the hysteresis of the piezoelectric ceramics seriously affect the quality of the scanned image, resulting in a distorted scanned image. [0003] Piezoelectric hysteresis is a complicated process, and the output is not only related to the current input, but also related to the historical input. Piezoceramic also has erasing properties and consistency. When the atomic force microscope uses piezoelectric ceramics to scan the three-dimensional shape of the sample, the ...

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): G06T5/00G06K9/62
CPCG06T2207/10056G06F18/22G06T5/80
Inventor 张连生陈小波黄继超黄强先程真英李红莉李瑞君
Owner HEFEI UNIV OF TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More