Performance evaluation of different preprocessing techniques for blood vessel extraction in fundus images

机译：不同预处理技术提取眼底图像中血管的性能评估

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Pre-processing of image deals with enhancement of the data images prior to computational processing. It helps in reducing the noise, bad contrast and uneven illumination thereby improving the quality of the image. It can thus significantly increase the reliability and efficiency of the processing techniques. Different applications need multiple pre-processing techniques. In this paper, an attempt has been made to determine the best sequence of pre-processing operations to be done for blood vessel extraction in Fundus images of retina for determination of diabetic retinopathy. The different combination of sequences is tested with a dataset of 60 images.

机译：图像的预处理在计算处理之前处理数据图像的增强。它有助于减少噪声，对比度差和照明不均，从而改善图像质量。因此，它可以显着提高处理技术的可靠性和效率。不同的应用程序需要多种预处理技术。在本文中，已经尝试确定用于确定糖尿病性视网膜病的视网膜眼底图像中用于血管提取的预处理操作的最佳顺序。用60个图像的数据集测试序列的不同组合。

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《2017 International Conference on Advances in Computing, Communication and Control》|2017年|1-4|共4页
会议地点 Mumbai(IN)
作者
Nandana Prabhu; Deepak Bhoir; Uma Rao;
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作者单位

Faculty K J Somaiya College of Engg and Research Scholar, Dept of Electronics Engg CRCOE, Mumbai, India;

Department of Electronics Engg, Fr Conceicao Rodrigues College of Engg, Bandra, Mumbai, India;

Department of Electronics Engg, Shah and Anchor Kutchi Engg College, Mumbai, India;

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原文格式 PDF
正文语种 eng
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关键词
Diabetes; Histograms; Image color analysis; Adaptive equalizers; Retinopathy; Adaptation models; Biomedical imaging;

机译：糖尿病;直方图;图像颜色分析;自适应均衡器;视网膜病变;适应模型;生物医学成像;;

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专利

1. Blood Vessel Extraction From Retinal Fundus Images Using Dip Techniques [J] . K.Sruthi, J. Vijayakumar, L. Jeganson Durai International Journal of Engineering Trends and Technology . 2019,第6期

机译：使用浸入技术从视网膜眼底图像中提取血管
2. Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Subimage Classification [J] . Roychowdhury Sohini, Koozekanani Dara D., Parhi Keshab K. Biomedical and Health Informatics, IEEE Journal of . 2015,第3期

机译：通过主要血管提取和亚图像分类对眼底图像进行血管分割
3. Retinal Blood Vessels and Optical Disc Segmentation in Branch Retinal Vein Occluded Fundus Images Using Digital Image Processing Techniques [J] . Ganesan P, B.S. Sathish, L.M.I. Leo Joseph, Research journal of pharmacy and technology . 2019,第4期

机译：分支视网膜血管和光盘分割在分支视网膜静脉闭塞眼底图像使用数字图像处理技术
4. Performance evaluation of different preprocessing techniques for blood vessel extraction in fundus images [C] . Nandana Prabhu, Deepak Bhoir, Uma Rao International Conference on Advances in Computing, Communication and Control . 2017

机译：眼底图像中血管提取不同预处理技术的性能评价
5. Optical Imaging of Retinal Blood Flow: Studies in Automatic Vessel Extraction, Alignment, and Driven Changes in Vessel Oximetry [D] . Holm, Sven Prashant. 2015

机译：视网膜血流的光学成像：血管血管血管提取，对准和驱动变化的研究
6. An Unsupervised Approach for Extraction of Blood Vessels from Fundus Images [O] . Jyotiprava Dash, Nilamani Bhoi 2018

机译：从眼底图像中提取血管的无监督方法
7. Retinal vessel feature extraction from fundus image using image processing techniques [O] . R. Lavanya, G. K. Rajini, G. Vidhya Sagar 2018

机译：使用图像处理技术从眼底图像提取视网膜血管特征

Performance evaluation of different preprocessing techniques for blood vessel extraction in fundus images

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