Exudates detection in fundus image using non-uniform illumination background subtraction

被引：9
|
作者：
Sae-Tang, W. [1 ]
Chiracharit, W. [1 ]
Kumwilaisak, W. [1 ]
机构：
[1] King Mongkuts Univ Technol Thonburi, Fac Engn, Dept Elect & Telecommun Engn, Bangkok 10140, Thailand
来源：
TENCON 2010: 2010 IEEE REGION 10 CONFERENCE | 2010年
关键词：
Exudates detection; non-uniform illumination; background subtraction;
D O I：
10.1109/TENCON.2010.5685984
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Exudates detection in fundus image using non-uniform illumination background subtraction is proposed in this paper. Non-uniform illumination background that is the major problem of fundus imagge processing is need to be eliminated. Weighted surface fitting is used in fundus image background estimation after image compensation is performed. The unwanted data for fundus image background estimation i.e. optic disk, fovea, blood vessels, and lesions are detected without traditional image segmentation. The estimated background is subtracted from the image and then exudates are detected from the foreground of image using level-set evolution without re-initialization. The experimental results show that the proposed method is robust to non-uniform illumination environment. Averaging sensitivity and positive predictive value are 91.84 % and 92.81 % respectively.
引用
收藏
页码：204 / 209
页数：6
相关论文
共 50 条
  • [21] Non-Uniform Illumination Underwater Image Restoration via Illumination Channel Sparsity Prior
    Hou, Guojia
    Li, Nan
    Zhuang, Peixian
    Li, Kunqian
    Sun, Haihan
    Li, Chongyi
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 34 (02) : 799 - 814
  • [22] Automatic Exudates Detection in Fundus Image using Intensity Thresholding and Morphology
    Singh, Anushikha
    Sengar, Namita
    Dutta, Malay Kishore
    Riha, Kamil
    Minar, Jiri
    2015 7TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT), 2015, : 330 - 334
  • [23] Fuzzy Image Enhancement for Low Contrast and Non-uniform Illumination Images
    Hasikin, Khairunnisa
    Isa, Nor Ashidi Mat
    2013 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (IEEE ICSIPA 2013), 2013, : 275 - 280
  • [24] Unsupervised image enhancement under non-uniform illumination based on CNNs
    Lin, Feng
    Zhang, Huaqing
    Wang, Jian
    Wang, Jun
    NEURAL NETWORKS, 2024, 170 : 202 - 214
  • [25] An Improved Adaptive Correction Algorithm For Non-uniform Illumination Panoramic Image
    Han, Pengfei
    Wang, Dianwei
    Yang, Xu
    Liu, Ying
    Li, Daxiang
    Xu, Zhijie
    Wang, Jing
    PROCEEDINGS OF 2019 IEEE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION AND COMMUNICATION TECHNOLOGY (ICEICT 2019), 2019, : 258 - 262
  • [26] Evaluating the performance of a non-uniform squash function in Capsule networks for early diabetic retinopathy detection using fundus image analysis
    Gogulamudi, Nagachandrika
    Golla, Madhu
    Naidu, Apparao
    Kautish, Sandeep
    Almazyad, Abdulaziz S.
    Xiong, Guojiang
    Mohamed, Ali Wagdy
    RESULTS IN ENGINEERING, 2024, 23
  • [27] Adaptive Gamma Correction of Subregion for Non-Uniform Illumination Image Enhancement
    Ma Xin
    Yu Chunyu
    Chen Gang
    Sun Ningning
    Ma Rongheng
    LASER & OPTOELECTRONICS PROGRESS, 2024, 61 (14)
  • [28] NON-UNIFORM ILLUMINATION OF LASER TARGETS
    EVANS, RG
    LASER AND PARTICLE BEAMS, 1985, 3 (AUG) : 273 - 281
  • [29] Non-uniform Illumination Document Image Binarization Using K-Means Clustering Algorithm
    Yang, Xingxin
    Wan, Yi
    2021 IEEE 9TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND NETWORKS (ICICN 2021), 2021, : 555 - 559
  • [30] A framework for the efficient enhancement of non-uniform illumination underwater image using convolution neural network?
    Zhang, Wenbo
    Liu, Weidong
    Li, Le
    Jiao, Huifeng
    Li, Yanli
    Guo, Liwei
    Xu, Jingming
    COMPUTERS & GRAPHICS-UK, 2023, 112 : 60 - 71
12345