Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Transformer substation infrared image segmentation method based on improved two-dimensional Otsu algorithm

A technology of infrared images and substations, which is applied in image analysis, image enhancement, image data processing, etc., and can solve the problems of not considering the deviation of pixel gray value from its surrounding area, image segmentation error, etc.

Active Publication Date: 2015-12-30
DATONG POWER SUPPLY COMPANY OF STATE GRID SHANXI ELECTRIC POWER +2
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although the traditional two-dimensional Otsu threshold segmentation method considers the local spatial information of the image, suppresses the interference of part of the noise, and the segmentation effect is ideal, but it does not consider the deviation of the gray value of the pixel point from its surrounding area, and according to the two The three-dimensional histogram roughly treats a small number of pixels as edges and noise, which causes errors in image segmentation.

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
  • Transformer substation infrared image segmentation method based on improved two-dimensional Otsu algorithm
  • Transformer substation infrared image segmentation method based on improved two-dimensional Otsu algorithm
  • Transformer substation infrared image segmentation method based on improved two-dimensional Otsu algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0056] A substation infrared image segmentation method based on improved two-dimensional Otsu, including the following steps:

[0057] (1) Input the infrared image of the substation;

[0058] (2) Use morphological weight adaptive algorithm to denoise the input image:

[0059](2a) Select the appropriate morphological structure element operator according to the input original infrared image of the insulator string:

[0060] (2b) Construct a morphological filter and determine its weight adaptively;

[0061] (2c) filter processing, obtain the image after denoising;

[0062] (3) Use the improved two-dimensional Otsu algorithm for image segmentation:

[0063] (3a) Find the prior probability corresponding to the two types of image pixels divided by the threshold pair, and further obtain the corresponding intra-class mean value vector;

[0064] (3b) Find the total mean value vector of the two-dimensional histogram, assuming that the probability of the subdiagonal region image of t...

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 transformer substation infrared image segmentation method based on an improved two-dimensional Otsu algorithm, solves the problem that the conventional two-dimensional Otsu algorithm has error segmentation and incomplete target segmentation; the method lies in that the weight adaptive algorithm of the morphology is adopted for performing denoising on an input image, and the improved two-dimensional Otsu algorithm is finally adopted for performing image segmentation. According to the transformer substation infrared image segmentation method provided by the invention, target regions can be divided completely and effectively, and a good foundation is laid for characteristic extraction of subsequent target regions.

Description

technical field [0001] The invention belongs to the field of image processing of electric power system substation equipment, and in particular relates to an improved two-dimensional Otsu-based substation infrared image segmentation method. Background technique [0002] Since infrared imaging technology is a non-contact and long-distance thermal imaging detection of infrared light radiated from the surface of the equipment, it is not subject to electric field interference, so it has the characteristics of intuition, accuracy, high sensitivity, fast, safe, and wide application range. It has become a substation equipment An important means of health status monitoring and fault diagnosis. [0003] Infrared image segmentation technology is an important part of the intelligent software module in the fault monitoring and diagnosis of electrical equipment in substations, and it is also an important link in the system to complete fault monitoring and diagnosis. Target extraction and...

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
CPCG06T2207/10048G06T2207/20036
Inventor 古珑谭孝元麻贵勋韩日炜苟先太徐浩文杨志穆世恒曾令元
Owner DATONG POWER SUPPLY COMPANY OF STATE GRID SHANXI ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products