A novel integrated approach using dynamic thresholding and edge detection (IDTED) for automatic detection of exudates in digital fundus retinal images

被引：0

作者：

Sagar, Anantha Vidya ^{[1
]}

Balasubramaniam, S. ^{[1
]}

Chandrasekaran, V. ^{[1
]}

机构：

[1] Sri Sathya Sai Inst Higher Learning, Dept Math & Comp Sci, Prashanthi Nilayam 515134, Andhra Pradesh, India

来源：

ICCTA 2007: INTERNATIONAL CONFERENCE ON COMPUTING: THEORY AND APPLICATIONS, PROCEEDINGS | 2007年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Automatic Screening of patients for early detection and prevention of Diabetic Retinopathy (DR) has been the prime focus in recent times due to the large ratio of patients to medical ophthalmologists. Exudate detection is one of the main steps of DR. A reliable method for detection of exudates is presented in this paper. Optic disc (OD) is localized by the Principle Component Analysis (PCA). Active contour based approach is used for accurate segmentation of boundary of OD. In our IDTED method, pre-processing techniques such as histogram specification and local contrast enhancement are integrated with dynamic thresholding (DT) and edge detection for exudate detection. The IDTED algorithm, when tested on 25 digital fundus retinal images and compared with the performance of a human grader, has shown a mean sensitivity of 99% and a mean predictivily of 93%

引用

页码：705 / +

页数：2

共 50 条

[1] Exudates Detection in Digital Fundus Image Using Edge Based Method & Strategic Thresholding
Dutta, Malay Kishore
Srivastava, Kshitij
Ganguly, Shaunak
Ganguly, Shaumik
Parthasarathi, M.
Burget, Radim
Prinosil, Jiri
[J]. 2015 38TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2015, : 748 - 752
[2] A New Dynamic Thresholding Based Technique for Detection of Hard Exudates in Digital Retinal Fundus Image
Kayal, Diptoneel
Banerjee, Sreeparna
[J]. 2014 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN), 2014, : 141 - 144
[3] Automatic Exudates Detection in Retinal Images Using Efficient Integrated Approaches
Luangruangrong, Wuttichai
Kulkasem, Pusit
Rasmequan, Suwanna
Rodtook, Annupan
Chinnasam, Krisana
[J]. 2014 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2014,
[4] Automatic Exudates Detection in Fundus Image using Intensity Thresholding and Morphology
Singh, Anushikha
Sengar, Namita
Dutta, Malay Kishore
Riha, Kamil
Minar, Jiri
[J]. 2015 7TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT), 2015, : 330 - 334
[5] A novel color space of fundus images for automatic exudates detection
Khojasteh, Parham
Aliahmad, Behzad
Kumar, Dinesh Kant
[J]. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2019, 49 : 240 - 249
[6] Automatic detection of hard and soft exudates from retinal fundus images
Borsos, Balint
Nagy, Laszlo
Iclanzan, David
Szilagyi, Laszlo
[J]. ACTA UNIVERSITATIS SAPIENTIAE INFORMATICA, 2019, 11 (01) : 65 - 79
[7] Effective Detection of Retinal Exudates in Fundus Images
Wang Huan
Hsu Wynne
Li, Lee Mong
[J]. PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOLS 1-4, 2009, : 601 - +
[8] AUTOMATIC DETECTION OF EXUDATES AND HEMORRHAGE IN FUNDUS IMAGES
Mohamed, Berbar A.
[J]. PROCEEDINGS OF 2020 37TH NATIONAL RADIO SCIENCE CONFERENCE (NRSC), 2020, : 277 - 284
[9] Automatic Detection of Laser Marks in Retinal Digital Fundus Images
Almeida e Sousa, Joao G. R.
Oliveira, Carlos Manta
da Silva Cruz, Luis A.
[J]. 2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2016, : 1313 - 1317
[10] Detection of Hard Exudates in Retinal Fundus Images Using Deep Learning
Benzamin, Avula
Chakraborty, Chandan
[J]. 2018 JOINT 7TH INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV) AND 2018 2ND INTERNATIONAL CONFERENCE ON IMAGING, VISION & PATTERN RECOGNITION (ICIVPR), 2018, : 465 - 469

← 1 2 3 4 5 →