Title:
FUNDUS IMAGE QUALITY OPTIMIZATION METHOD BASED ON DEEP LEARNING
Document Type and Number:
WIPO Patent Application WO/2023/240674
Kind Code:
A1
Abstract:
The present invention relates to the technical field of fundus image analysis, and in particular, to a fundus image quality optimization method based on deep learning, which can quickly recognize a fundus image, accurately position a lesion position of a fundus disease, and optimize a processing process of the fundus image. The method comprises the following steps: step 1, acquiring the fundus image, and performing sharpening and grayscale processing on the fundus image; step 2, performing circle center determination on the image subjected to the grayscale processing in step 1, and performing concentric ring band segmentation according to the determined circle center, so as to obtain a plurality of groups of concentric equidistant ring bands; and uniformly segmenting each group of concentric ring bands in the radial direction into a plurality of groups of pixel blocks; step 3, calculating an average grayscale value of each group of pixel blocks in step 2, and performing grayscale value assignment on the pixel blocks to obtain a circular numerical matrix; and step 4, performing convolution calculation on the circular numerical matrix in step 3, and obtaining a corresponding lesion area image according to a convolution calculation result.
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Inventors:
GAO RONGYU (CN)
ZHANG JIE (CN)
ZHANG JIE (CN)
Application Number:
PCT/CN2022/100938
Publication Date:
December 21, 2023
Filing Date:
June 24, 2022
Export Citation:
Assignee:
WEIFANG EYE HOSPITAL CO LTD (CN)
International Classes:
G06F17/15; G06T7/00; G06T5/00
Domestic Patent References:
| WO2009124679A1 | 2009-10-15 |
Foreign References:
| CN106408564A | 2017-02-15 | |||
| CN111127425A | 2020-05-08 | |||
| US20160364611A1 | 2016-12-15 | |||
| JP2018121885A | 2018-08-09 |
Attorney, Agent or Firm:
BEIJING JINXIN CHENGTAI INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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