Tooth image enhancement method based on Bayesian estimation filtering

A Bayesian estimation and image enhancement technology, applied in the field of image processing, can solve the problems of difficult and poor effect of image enhancement of oral dental images.

Pending Publication Date: 2021-04-23
南京齿贝犀科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a tooth image enhancement method based on Bayesian estimation filtering, which can effectively solve the problem of difficulty in image enhancement of oral tooth images and poor 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
  • Tooth image enhancement method based on Bayesian estimation filtering
  • Tooth image enhancement method based on Bayesian estimation filtering
  • Tooth image enhancement method based on Bayesian estimation filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] In order to make the objects and advantages of the present invention clearer, the present invention will be specifically described below in conjunction with examples. It should be understood that the following words are only used to describe one or several specific implementation modes of the present invention, and do not strictly limit the protection scope of the specific claims of the present invention.

[0035] The technical scheme that the present invention takes is as figure 2 As shown, a tooth image enhancement method based on Bayesian estimation filtering, including the following steps:

[0036] S1. Perform adaptive contrast enhancement on the input image to obtain a filtered image;

[0037] S11. Extract the low-frequency information m of the input image x , the extraction formula is as follows:

[0038]

[0039] In the formula: x(k, j) is the pixel value at the position of coordinates (k, j); the local area width (2n+1) is 30~60;

[0040] S12. Enhance th...

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 technical field of image processing, in particular to a tooth image enhancement method based on Bayesian estimation filtering, which comprises the following steps: performing adaptive contrast enhancement on an input image to obtain a filtered image; carrying out equal-proportion truncation on the filtered image, and stretching to obtain a stretched image; performing filtering processing on the stretched image by using a filtering model estimated by Bayesian estimation; and stretching the image pixels in a fixed range to obtain a final enhanced image. According to the technical scheme, the tooth image enhancement method based on Bayesian estimation filtering comprises the following steps: firstly, enhancing a corresponding high-frequency part through an adaptive contrast enhancement algorithm with a fixed window size; cutting off the maximum extreme value and the minimum extreme value, and adopting a filter obtained through Bayesian estimation to process the whole image; and finally stretching the image to obtain a final enhanced image. The tooth image enhancement method based on Bayesian estimation filtering can effectively solve the problems of high image enhancement difficulty and poor effect of the oral tooth image.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a tooth image enhancement method based on Bayesian estimation filtering. Background technique [0002] The purpose of image enhancement is to improve the visual effect of the image, aiming at the application of a given image, purposefully emphasize the overall or local characteristics of the image, make the original unclear image clear or emphasize some interesting features, expand The difference between the features of different objects in the image can suppress the uninteresting features to improve the image quality, enrich the amount of information, strengthen the image interpretation and recognition effect, and meet the needs of some special analysis. [0003] The method is to add some information or transform data to the original image by certain means, selectively highlight the interesting features in the image or suppress (cover up) some unnecessary features in th...

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): G06T5/00G06K9/32G06K9/40G06K9/62
CPCG06T5/007G06V10/30G06V10/25G06F18/24155
Inventor 孙泽王从付李大伟
Owner 南京齿贝犀科技有限公司
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