An Efficient Method for Vessel Edge Detection of Fundus Images

2006 ◽  
Author(s):  
Jupeng Li ◽  
Houjin Chen ◽  
Ying Wang ◽  
Wei Wang
Keyword(s):  
Edge Detection ◽  
Efficient Method ◽  
Fundus Images

Optic disc detection in retinal fundus images using gravitational law-based edge detection

2016 ◽  
Vol 55 (6) ◽  
pp. 935-948 ◽  
Author(s):  
Mohammad Alshayeji ◽  
Suood Abdulaziz Al-Roomi ◽  
Sa’ed Abed
Keyword(s):  
Edge Detection ◽  
Optic Disc ◽  
Fundus Images ◽  
Retinal Fundus Images ◽  
Retinal Fundus

scholarly journals Detection of Optic Disc in Retina Using Hough Transform

2016 ◽  
Vol 15 (3) ◽  
pp. 6613-6617
Author(s):  
Vijaya Patil ◽  
Vaishali Kumbhakarna ◽  
Dr. Seema Kawathekar
Keyword(s):  
Edge Detection ◽  
Optic Disc ◽  
Hough Transform ◽  
Fundus Images ◽  
Fundus Image

We propose a method to automatically locate the Optic Disc (OD) in fundus images of the retina. Based on the properties of the OD, our proposed method includes edge detection using the Canny method, and detection of circles using the Hough transform. The Hough transform assists in the detection of the center and radius of a circle that approximates the margin of the OD. Based on the feature that the OD is one of the brightest areas in fundus image, the potential circles can be detected by Hough transform.  

scholarly journals An Efficient Method of Edge Detection using Fuzzy Logic

2013 ◽  
Vol 77 (15) ◽  
pp. 27-30 ◽  
Author(s):  
Jaideep Kaur ◽  
Poonam Sethi
Keyword(s):  
Fuzzy Logic ◽  
Edge Detection ◽  
Efficient Method

Difference mode EXELFS with parallel-detection EELS

1992 ◽  
Vol 50 (2) ◽  
pp. 1262-1263
Author(s):  
Michael K. Kundmann ◽  
Ondrej L. Krivanek
Keyword(s):  
Edge Detection ◽  
Important Distinction ◽  
Edge Structure ◽  
Parallel Detection ◽  
Gain Variation ◽  
Ideal Solutions ◽  
Detector Cell ◽  
The Difference ◽  
Elemental Detection ◽  
Partial Correction

Parallel detection has greatly improved the elemental detection sensitivities attainable with EELS. An important element of this advance has been the development of differencing techniques which circumvent limitations imposed by the channel-to-channel gain variation of parallel detectors. The gain variation problem is particularly severe for detection of the subtle post-threshold structure comprising the EXELFS signal. Although correction techniques such as gain averaging or normalization can yield useful EXELFS signals, these are not ideal solutions. The former is a partial throwback to serial detection and the latter can only achieve partial correction because of detector cell inhomogeneities. We consider here the feasibility of using the difference method to efficiently and accurately measure the EXELFS signal.An important distinction between the edge-detection and EXELFS cases lies in the energy-space periodicities which comprise the two signals. Edge detection involves the near-edge structure and its well-defined, shortperiod (5-10 eV) oscillations. On the other hand, EXELFS has continuously changing long-period oscillations (∼10-100 eV).

A Dividing Ratio Changeable Digital PLL Based on Phase State Memory and Double Clock-Edge Detection

2008 ◽  
Vol 128 (7) ◽  
pp. 1185-1190 ◽  
Author(s):  
Kuniaki Fujimoto ◽  
Hirofumi Sasaki ◽  
Mitsutoshi Yahara
Keyword(s):  
Edge Detection ◽  
Phase State
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