Solar activity recognition method based on scale transformation model

A technology of solar activity and scale transformation, which is applied in the fields of astronomy and image processing, can solve the problems of automatic recognition without in-depth research, achieve the effects of reducing size, improving processing accuracy, and preventing image noise interference

Active Publication Date: 2017-04-19
KUNMING UNIV OF SCI & TECH
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

No in-depth research has been carried out on the automatic identification of solar activity phenomena across the sun

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
  • Solar activity recognition method based on scale transformation model
  • Solar activity recognition method based on scale transformation model
  • Solar activity recognition method based on scale transformation model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] Embodiment 1: as Figure 1-5 As shown, a solar activity identification method based on the scale transformation model, step 1, information collection and coordinate system establishment: use the Hough transform to detect the center and radius of the sun; obtain the sampling time of the FITS dataset, and obtain the Collect the location information of the solar activity corresponding to the time in the library; establish a rectangular coordinate system, and perform proportional transformation on the location coordinates of the solar activity; Step 2, segmentation and identification of the solar activity area: define the grid structure and divide the image; use the gradient threshold method Segment the effective area of ​​solar activity; use the minimum circumscribed rectangle and 8-direction freeman chain code to mark the solar activity area.

[0040] The solar activity identification method based on the scale transformation model includes the following steps S1-S2: S1, s...

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 a solar activity recognition method based on a scale transformation model, and belongs to the fields of the astronomical technology and the image processing technology. The method comprises the following steps: 1, information collection and coordinate system building: detecting the center and radius of the sun through Hough transformation, obtaining an image collection time of an FITS data set, collecting the position information of solar activities at a corresponding moment from a solar physics event knowledge base, building a rectangular coordinate system, and carrying out the scaling transformation of the position coordinates of the solar activities; 2, solar activity region segmentation and recognition: defining a grid structure, dividing an image, segmenting an effective region of the solar activities through employing a gradient threshold method, and marking the solar activity region through employing a minimum enclosing rectangle and an eight-direction freeman chain code. The method achieves the timely tracking and positioning of various types of solar activities, accurately recognizes the effective region of the solar activities, and also provides a feasible method for simplifying a data set of a CBIR system.

Description

technical field [0001] The invention relates to a solar activity recognition method based on a scale transformation model, and belongs to the fields of astronomical technology and image processing technology. Background technique [0002] Content-based image retrieval technology was born in the 1990s to solve the problem of large-scale digital image retrieval. Subsequently, a large number of research or commercial content-based image retrieval systems (CBIR) came into being. Different from the manual labeling of images in the original system, the content-based retrieval technology automatically extracts the visual content features of each image as its index, such as color, texture, shape, etc. CBIR systems for large-scale solar activities have also appeared, such as SDO's CBIR system (SDO Content-Based Image Retrieval System), and Yunnan Observatory of Chinese Academy of Sciences' CBIR system (Yunnan Observatory of Chinese Academy of Sciences CBIR System). [0003] Althoug...

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
IPC IPC(8): G06K9/46G06K9/34G06K9/48G06F17/30
CPCG06F16/903G06V10/267G06V10/48G06V10/46G06V10/473
Inventor 李卫疆亓鑫
Owner KUNMING UNIV OF SCI & TECH
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