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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
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Problems solved by technology

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

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  • 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

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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...

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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

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Application Information

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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
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