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CAS IR Grid
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长春光学精密机械与物... [1]
自动化研究所 [1]
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OAI收割 [2]
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会议论文 [1]
期刊论文 [1]
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2022 [1]
2006 [1]
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Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey
期刊论文
OAI收割
Machine Intelligence Research, 2022, 卷号: 19, 期号: 3, 页码: 184-208
作者:
Xiao-Qing Zhang
;
Yan Hu
;
Zun-Jie Xiao
;
Jian-Sheng Fang
;
Risa Higashita
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/04/23
Cataract, classification and grading
ophthalmic image
machine learning
deep learning
Wavelet-fractal based compression of ophthalmic image (EI CONFERENCE)
会议论文
OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Xiu-Ying Z.
;
Lin-Pei Z.
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2013/03/25
This study is designed to determine the degree and methods of digital image compression to produce ophthalmic images of sufficient quality for transmission and diagnosis. Fractal based compression techniques
which provide a large compression ratio for grayscale images have been reported in the literature. Fractal coding is based on the fractal theory of iterated transformations. But
it's searching and mapping algorithm cannot address the need of real-time. To improve the real-time performance of the algorithm
we use wavelet transforms to decompose images. The wavelet transform is a natural tool for analyzing fractal block coders since wavelet bases possess the same type of dyadic self-similarity that fractal coders seek to exploit. We propose a method of fractal coding the weighted wavelet subtree. Experimented results show that the improved hybrid image can improve the PSNR of the rebuild image at the same compression ratio.