Pupil detection schemes in human eye: a review

2021 ◽  
Author(s):  
Nasro Min-Allah ◽  
Farmanullah Jan ◽  
Saleh Alrashed
Keyword(s):  
Human Eye ◽  
Pupil Detection ◽  
Detection Schemes

Human Eye Pupil Detection System for Different IRIS Database Images

2021 ◽  
Vol 18 (4) ◽  
pp. 1239-1242
Author(s):  
N. Nandhagopal ◽  
S. Navaneethan ◽  
V. Nivedita ◽  
A. Parimala ◽  
Dinesh Valluru
Keyword(s):  
Near Infrared ◽  
Detection System ◽  
Recognition Rate ◽  
Vital Role ◽  
Center Of Gravity ◽  
Bright Spot ◽  
Threshold Method ◽  
Human Eye ◽  
Pupil Detection ◽  
Suppression Process

The pupil detection system plays a vital role in ophthalmology diagnosis equipments because pupil has a center place of human eye to locate the exact position. To identify the exact human eye pupil region in near infrared (NIR) images, this work proposes the Center of gravity method and its real time FPGA hardware implementation. The proposed work involves global threshold method to segment the pupil region from human eye and the bright spot suppression process removes the light reflections on the pupil due to the IR (Infra red) rays then the morphology dilation process removes unnecessary black pixels other than pupil region on the image. Finally, center of gravity (COG) method provides the exact pupil center coordinate and radius of the human eye. CASIA IRIS V4 and UBIRIS iris database images used in this work and achieved 90-95% of recognition rate.

An FPGA-Based Real-Time Human Eye Pupil Detection System Using E2V Smart Camera

2019 ◽  
Vol 16 (2) ◽  
pp. 649-654
Author(s):  
S. Navaneethan ◽  
N. Nandhagopal ◽  
V. Nivedita
Keyword(s):  
Real Time ◽  
Detection System ◽  
Detection Algorithm ◽  
Video Frame ◽  
Smart Camera ◽  
Verilog Hdl ◽  
Real Time System ◽  
Human Eye ◽  
Pupil Detection ◽  
Main Motive

Threshold based pupil detection algorithm was found tobe most efficient method to detect human eye. An implementation of a real-time system on an FPGA board to detect and track a human's eye is the main motive to obtain from proposed work. The Pupil detection algorithm involved thresholding and image filtering. The Pupil location was identified by computing the center value of the detected region. The proposed hardware architecture is designed using Verilog HDL and implemented on aAltera DE2 cyclone II FPGA for prototyping and logic utilizations are compared with Existing work. The overall setup included Cyclone II FPGA, a E2V camera, SDRAM and a VGA monitor. Experimental results proved the accuracy and effectiveness of the hardware realtime implementation as the algorithm was able to manage various types of input video frame. All calculation was performed in real time. Although the system can be furthered improved to obtain better results, overall the project was a success as it enabled any inputted eye to be accurately detected and tracked.

A New System For Optomanual Semiautomatic Quantitative Image Analysis

1977 ◽  
Vol 35 ◽  
pp. 210-211
Author(s):  
H.P. Rohr
Keyword(s):  
Image Analysis ◽  
Volume Density ◽  
List Type ◽  
Distribution Analysis ◽  
Type Number ◽  
Point Counting ◽  
Human Eye ◽  
Quantitative Image ◽  
Point Density ◽  
Electronic Counting

Today, in image analysis the broadest possible rationalization and economization have become desirable. Basically, there are two approaches for image analysis: The image analysis through the so-called scanning methods which are usually performed without the human eye and the systems of optical semiautomatic analysis completely relying on the human eye.The new MOP AM 01 opto-manual system (fig.) represents one of the very promising approaches in this field. The instrument consists of an electronic counting and storing unit, which incorporates a microprocessor and a keyboard for choice of measuring parameters, well designed for easy use.Using the MOP AM 01 there are three possibilities of image analysis:the manual point counting,the opto-manual point counting andthe measurement of absolute areas and/or length (size distribution analysis included).To determine a point density for the calculation of the corresponding volume density the intercepts lying within the structure are scanned with the light pen.

The Human Eye and the Photographic Camera

1913 ◽  
Vol 76 (1960supp) ◽  
pp. 51-51
Author(s):  
A. Gleichen
Keyword(s):  
Human Eye ◽  
Photographic Camera

Reabilitação estética de incisivo central superior severamente escurecido

2020 ◽  
Vol 12 (45) ◽  
pp. 91-96
Author(s):  
Washington José Batista das Neves ◽  
João Paulo Alves da Silva Aguiar ◽  
Jamile Menezes de Souza ◽  
Evandro Augusto Feitosa de Lima Amorim ◽  
Marlus da Silva Pedrosa ◽  
...  
Keyword(s):  
Clinical Case ◽  
Tooth Whitening ◽  
Human Eye ◽  
Self Confidence ◽  
The Face ◽  
Natural Dentition ◽  
Dental Whitening

Dental unit darkening is the cause of aesthetic complaint by the patient, mainly because it is easily noticed by the human eye. Tooth whitening and ceramic veneers allow aesthetic rehabilitation in a pattern of visual equality to the natural dentition, by restoring teeth color and shape symmetry, bringing to the face a harmonious impact that is reflected in the entire set that composes it. By recovering teeth healthy appearance, this association of procedures restores people’s self-confidence. This study reports a clinical case of an esthetic management for darkened tooth 21, describing the sequence of techniques association of dental whitening and ceramic veneer to achieve aesthetics balance, showing the advantages and limitations of these procedures.

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