Vessel-based hybrid optic disk segmentation applied to mobile phone camera retinal images

2022 ◽  
Author(s):  
Tin Tin Khaing ◽  
Pakinee Aimmanee ◽  
Stanislav Makhanov ◽  
Hideaki Haneishi
Keyword(s):  
Mobile Phone ◽  
Optic Disk ◽  
Retinal Images ◽  
Mobile Phone Camera

scholarly journals Glaucoma Detection in Mobile Phone Retinal Images Based on ADI-GVF Segmentation with EM initialization

2021 ◽  
Vol 15 (1) ◽  
pp. 134-149
Author(s):  
Tin Tin Khaing ◽  
Thayanee Ruennark ◽  
Pakinee Aimmanee ◽  
Stanislav Makhanov ◽  
Navapol Kanchanaranya
Keyword(s):  
Mobile Phone ◽  
Digital Health ◽  
Low Cost ◽  
True Positive Rate ◽  
Poor Quality ◽  
Optic Disk ◽  
Fundus Photography ◽  
Retinal Images ◽  
True Negative ◽  
Positive Rate

The advanced development of mobile phone and lens technology has made retinal imaging more convenient than ever before. In the digital health era, mobile phone fundus photography has evolved into a low-cost alternative to the standard ophthalmoscope. Existing image processing algorithms have a problem with handling the narrow field of view and poor quality of retinal images from a mobile phone. This paper enhances the accuracy of our previously proposed scheme, ADI-GVF snakes, to improve the segmentation of the optic disk (OD) and the optic cup (OC) for glaucoma pre-screening [1] from retinal images obtained from a mobile phone. This work integrated a better OD localization method, namely, the exclusion method (EM) with ADI-GVF segmentation for the OD and the OC. The improved algorithm can segment the regions of the OD and OC more accurately, resulting in a more precise value of the cup-to-disk area ratio (CDAR). The proposed method yields as high as 93.33% for true positive rate (TPR) and 93.87% for true negative rate (TNR) and as low as 6.12% and 6.66% for false omission rate (FOR), and false discovery rate (FDR). It also improves TPR, TNR, FOR, and FDR of the previous scheme [1] by 4.45%, 4.08%, 4.08%, and 4.44% respectively.

Diabetic eye sentinel: prescreening of diabetic retinopathy using retinal images obtained by a mobile phone camera

2021 ◽  
Author(s):  
Thayanee Ruennak ◽  
Pakinee Aimmanee ◽  
Stanislav Makhanov ◽  
Navapol Kanchanaranya ◽  
Sakchai Vongkittirux
Keyword(s):  
Diabetic Retinopathy ◽  
Mobile Phone ◽  
Retinal Images ◽  
Mobile Phone Camera

The Absurd Injunction to Not Belong and the Bidūn in Kuwait

2020 ◽  
Vol 52 (4) ◽  
pp. 726-732
Author(s):  
Claire Beaugrand
Keyword(s):  
Mobile Phone ◽  
Legal Status ◽  
Personal Data ◽  
Male Voice ◽  
Central System ◽  
Additional Remark ◽  
Special Mention ◽  
The Voice ◽  
Mobile Phone Camera

In a tweet posted on 29 March 2018, a bidūn activist—who was later jailed from July 2019 to January 2020 for peacefully protesting against the inhumane conditions under which the bidūn are living—shared a video. The brief video zooms in closely on an ID card, recognizable as one of those issued to the bidūn, or long-term residents of Kuwait who are in contention with the state regarding their legal status. More precisely, the mobile phone camera focuses on the back of the ID card, on one line with a special mention added by the Central System (al-jihāz al-markazī), the administration in charge of bidūn affairs. Other magnetic strip cards hide the personal data written above and below it. A male voice can be heard saying that he will read this additional remark, but before even doing so he bursts into laughter. The faceless voice goes on to read out the label in an unrestrained laugh: “ladayh qarīb … ladayh qarīna … dālla ʿalā al-jinsiyya al-ʿIrāqiyya” (he has a relative … who has presumptive evidence … suggesting an Iraqi nationality). The video shakes as the result of a contagious laugh that grows in intensity. In the Kuwaiti dialect, the voice continues commenting: “Uqsim bil-Allāh, gaʿadt sāʿa ufakkir shinū maʿanāt hal-ḥatchī” (I swear by God, it took me an hour to figure out the meaning of this nonsense), before reading the sentence again, stopping and guffawing, and asking if he should “repeat it a third time,” expressing amazement at its absurdity. The tweet, addressed to the head of the Central System (mentioned in the hashtag #faḍīḥat Sāliḥ al-Faḍāla, or #scandal Salih al-Fadala), reads: In lam tastaḥī fa-'ktub mā shaʾt (Don't bother, write what you want).

scholarly journals Thresholding Scheme Based on Boundary Pixels of Stripes for Visible Light Communication With Mobile-Phone Camera

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 53053-53061 ◽  
Author(s):  
Zhenshan Zhang ◽  
Tiantian Zhang ◽  
Ji Zhou ◽  
Yueming Lu ◽  
Yaojun Qiao
Keyword(s):  
Visible Light ◽  
Mobile Phone ◽  
Visible Light Communication ◽  
Mobile Phone Camera

Retinal Images: Optic Disk Localization and Detection

2010 ◽  
pp. 40-49 ◽  
Author(s):  
M. Usman Akram ◽  
Aftab Khan ◽  
Khalid Iqbal ◽  
Wasi Haider Butt
Keyword(s):  
Optic Disk ◽  
Retinal Images

Deterrence of Piracy Employing IR Transmitter and Steganography System

2021 ◽  
Vol 1 (2) ◽  
pp. 32-40
Author(s):  
A.M. Prasanna Kumar ◽  
Bharathi Gururaj
Keyword(s):  
Mobile Phone ◽  
Film Industry ◽  
Video Recording ◽  
Research Work ◽  
Infrared Light ◽  
Novel Technique ◽  
Video Recordings ◽  
Light Rays ◽  
Film Piracy ◽  
Mobile Phone Camera

Moving picture entertainment is a foremost source of amusement for populace in today’s existence. To entertain populace a lot of investment is put into film production by the film makers. Their endeavour is being ruined by few people by pirate the movies substance. They do it by capture the video recording in mobile phone camera and upload it to websites or put up for sale it to people which cause huge loss. In this research work we are proposea novel technique for reduction of film piracy by avoiding fake video recordings of video in theatres. An indistinguishable luminosity is projected from the display to the whole spectators that falls on the camera lens which is sensitive to infrared light rays Makes the recorded video unfit to watch. A method is developed for anti-piracy system for film industry using steganography technique in MATLAB.

Indoor Positioning and Navigation Methods Based on Mobile Phone Camera

2021 ◽  
pp. 414-426
Author(s):  
Min Yu ◽  
Jiaohao Yu ◽  
Hailei Li ◽  
Huixia Li ◽  
Hang Guo
Keyword(s):  
Mobile Phone ◽  
Indoor Positioning ◽  
Mobile Phone Camera

Exudates and optic disk detection in retinal images of diabetic patients

2014 ◽  
Vol 27 (1) ◽  
pp. 172-192 ◽  
Author(s):  
Vesna Zeljković ◽  
Milena Bojic ◽  
Shengwei Zhao ◽  
Claude Tameze ◽  
Ventzeslav Valev
Keyword(s):  
Optic Disk ◽  
Retinal Images ◽  
Diabetic Patients

Two iris imaging over an extended depth of field with a mobile phone camera

2018 ◽  
Author(s):  
Niamh M. Fitzgerald ◽  
Christopher Dainty ◽  
Alexander V. Goncharov
Keyword(s):  
Mobile Phone ◽  
Depth Of Field ◽  
Extended Depth Of Field ◽  
Mobile Phone Camera
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