Supercharge Your Innovation With Domain-Expert AI Agents!

Logistic membership function-based image fuzzy enhancement method and system

A technology of membership function and fuzzy enhancement, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low computational complexity, difficult control, unsatisfactory calculation degree, and unsatisfactory defuzzification effect. High efficiency, easy parameter control, and the effect of overcoming noise defects and complexity defects

Inactive Publication Date: 2018-04-06
STATE GRID SHANDONG ELECTRIC POWER +2
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The fuzzy enhancement theory often uses the classic S-type function, Pal function, etc. as the membership function, but the effect is not ideal in terms of calculation degree and defuzzification.
The Pal algorithm rigidly stipulates that the negative value of the processed pixel is 0, which will result in the loss of some pixel information that is forcibly weakened to 0; compared with the classic Pal function, the classic S-type function does not have overshoot or oversuppression. And the computational complexity is low, but because it is a piecewise function, it is relatively difficult to control its parameters

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
  • Logistic membership function-based image fuzzy enhancement method and system
  • Logistic membership function-based image fuzzy enhancement method and system
  • Logistic membership function-based image fuzzy enhancement method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0057] figure 1 The basic flow of the image blur enhancement method based on the Logistic membership function of the present invention is illustrated.

[0058] Such as figure 1 Shown, the image fuzzy enhancing method based on Logistic membership function of the present invention comprises steps:

[0059] S10: Acquire the image to be enhanced, and express it as an image to be enhanced in the spatial domain.

[0060] In some embodiments, this step also uses a bilateral filter to perform bilateral filtering on the image to be enhanced in the spatial domain.

[0061] Among them, bilateral filtering includes steps:

[0062] First, calculate the distance weight G according to the following formula:

[0063]

[0064] in, with is the kernel distance matrix, w is the window radius of the bilateral filter, δ d is the standa...

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 logistic membership function-based image fuzzy enhancement method. The method comprises the steps of S10, acquiring a to-be-enhanced image, and expressing the image as a to-be-enhanced image in the spatial domain; S20, adopting the logistic function as a fuzzy membership function, mapping the to-be-enhanced image from the spatial domain into the fuzzy domain so as to obtain a to-be-enhanced image in the fuzzy domain; S30, performing enhancement treatment on the to-be-enhanced image in the fuzzy domain to obtain an enhanced image in the fuzzy domain; S40, performing inverse transformation on the enhanced image in the fuzzy domain to obtain an enhanced image in the spatial domain. In addition, the invention further discloses a corresponding system. According to theinvention, the to-be-enhanced image can be simply and effectively enhanced. The method has relative advantages in the aspects of the information integrity of image borders, the adjustment appropriateness, and the algorithm complexity. Therefore, the method can be applied to the infrared thermal image enhancement of electric equipment. The faults or the thermal defects of the equipment can be correctly detected.

Description

technical field [0001] The invention relates to image enhancement technology, in particular to an image blur enhancement method and system. Background technique [0002] Infrared thermal image detection technology is one of the important inspection methods to ensure the safety of power equipment. However, infrared thermal imaging technology is often greatly affected by the external environment, and there are problems such as blurred edges of equipment images, poor contrast, and various noises, which often lead to difficulties in the correct identification, segmentation and extraction of thermal defects in equipment. big difficulty. Therefore, it is necessary to carry out infrared thermal image enhancement of power equipment to realize the correct detection of equipment failure or thermal defects. Generally speaking, the infrared thermal image enhancement methods of power equipment can be divided into two categories, one is based on the spatial domain processing method, whi...

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): G06T5/00G06T7/00
CPCG06T7/0004G06T2207/10048G06T2207/20028G06T2207/20104G06T2207/20192G06T5/73
Inventor 彭红霞张卫国宋来森闫冬陈晓东郭奇军崔荣花刘相兴王智杰牛东涛赵俊杰闫静静盛戈皞
Owner STATE GRID SHANDONG ELECTRIC POWER
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

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com