PPT-Fundus Image Enhancement and Glaucoma Detection

Presented by Saleha Masood PhD Scholar SEIEE Department Shanghai Jiao Tong University Email salehamasood08gmailcom 1 Abstract In this research a novel technique for fundus image enhancement and glaucoma detection . Author: Michael Sedivy. Introduction. Edge Detection in Image Processing. MCMC and the Use of Gibbs Sampler. Input. Results. Conclusion/Future Work. References. Edge Detection. Detecting Edges in images is a complex task, but it useful in other image processing problems. 2011/12/08. Robot Detection. Robot Detection. Better Localization and Tracking. No Collisions with others. Goal. Robust . Robot . Detection. Long . Range. Short. . Range. Long Range. C. urrent . M. ethod. The relevant features for the examination task are enhanced. The irrelevant features for the examination task are removed/reduced. Here the input and output image are both digital image in color or gray scale.. Glaucoma is a series of illnesses affecting the visual nerves. It has an effect on your peripheral vision and, in the worst-case situation, can result in complete and irreversible vision loss. Glaucoma is the third leading cause of blindness worldwide. Dr Swati Sinkar provides Glaucoma treatment in Adelaide and here are the 9 biggest misconceptions about this dreadful eye disease. José Ignacio Orlando. 1,2. , Elena Prokofyeva. 3,4. , Mariana del Fresno. 1,5. and Matthew B. Blaschko. 6. 1 . Instituto. . Pladema. , UNCPBA, . Tandil. , Argentina. 2. . Consejo. Nacional de . Investigaciones. Recognition Vol.7, No. 2 (2014), pp. 3 89 - 3 9 8 http://dx.d oi.org/10.14257/ijsip.2014.7. 2 . 3 6 ISSN: 2005 - 4254 IJSIP Copyright ⓒ 201 4 SERSC Extraction of Optic Cup in Retinal Fundus image Fig.1: Retinal image Different techniques are given in literature for macula detection. In [6], macula is detected using morphological properties of eye. [7] Presents the methodology to detect macula u sing t he Fundus Retinal Images Amit Kumar Mourya 1 Electronics & Communication Department Mangalmay Institute of Engineering & Technology Greater Noida, India Barkat Ali 2 E lectronics & Communic Image b y Segmentation a nd Classification D.Vijayasekar M.E. SE Department of CSE , SNS College of Technology , Coimbatore, India S. Dhivya M.E. CSE Department of CSE , SNS College of Technology , BackgroundGlaucoma is a kind of chronic disease that damages optic nerve of the eye. Due to the diculty of examination and treatment, patients with glaucoma often suer from visual impairment or even ISSN: 2455 - 2631 LWSDw191203 3 Lnternational Wournal of Scientific Development and wesearch (LWSDw) www.ijsdr.org 154 A Review o n Detection o f Glaucoma from Retinal Fundus Images Us 147 - 2320 International Journal of Engineering Research in Computer Science and Engineering (IJERCSE) Vol 5, Issue 3, March 2018 Glaucoma Detection and Its Classification Using Fuzzy - C Means an Yogesh Babu Bathina. Advisor : Jayanthi Sivaswamy. Centre . for Visual Information . Technology (CVIT). IIIT-Hyderabad, India. Summary. Introduction to Image registration . Retinal imaging background. Applications. 报告人：程明明. 南开大学、计算机与控制工程学. 院. http://mmcheng.net/. Contents. Global . contrast based salient region . detection. ,. PAMI 2014. BING: Binarized Normed Gradients for Objectness Estimation at .