scholarly journals COMPARISON OF EYELID ANGLE MEASURED USING MANUAL AND DIGITAL IMAGE ANALYSIS METHOD

2021 ◽  
Author(s):  
Shravya N ◽  
Swetha Ravichandran ◽  
Rinu Thomas
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Palpebral Fissure ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Interpupillary Distance ◽  
Significant Difference ◽  
The Mean ◽  
Imagej Software

Aim: To compare the eyelid angle measured by using a manual method (Using protractor) and digital image analysis method (Using ImageJ software) at different distances of eye gaze. Methodology: This prospective cross-sectional study was conducted in the preclinical lab at Manipal College of Health Professions. Subjects with no eyelid abnormalities were included in the study and they were asked to fixate at different distances a) at 3 metre (Distance gaze) b) at 70 cm (Intermediategaze) and c) at 40 cm(Near gaze). Using a protractor, the eyelid angle measurements were repeated at various distances which comprised the manual measurement. In the image analysis method, images were captured during distance, intermediate and near gaze using smartphone placed on theside of the face. These images were then analysed using ImageJ software for determining eyelid angle using image analysis method. Palpebral fissure height, Palpebral fissure width, Interpupillary distance, Intercanthal width, Binocular width, Height of open upper lid were some additional anthropometry measurements that were done using meter scale and PD ruler. Results: The mean age of the participants was 20±0.5 years. Anthropometry measurements of the eyelid and Palpebral fissure were done using meter scaleand PD ruler. The mean and standard deviation of the measured parametersare as follows Interpupillary distance: 60.95±2.37 mm, Endo Inter canthal distance: 32.20±2.39 mm, Exo Inter cantal distance: 95.50±3.80 mm, Palpebralfissure height_OD: 12.11±1.32 mm, Palpebral fissure height_OS:12.16±1.46mm, PFW_OD: 32.00±1.10 mm, PFW_OS: 32.11±1.24 mm, Height of upper eyelids_OD: 10.26±1.66 mm and Height of upper eyelids_OS:10.42±1.83 mm. In the right eye, there was no statistically significant difference (p>0.05) between manual protractor method and digital image analysismethod at distance but there was a statistically significant difference (p<0.05)between manual protractor method and digital image analysis method atIntermediate and near. In left eye, there was statistically significant difference(p<0.05) between manual protractor method and digital image analysis method at all three distances. Conclusion: There is a significant difference in eyelid angle measured using manual protractor method and digital image analysis method. The measurement of eyelid angle serves as a critical reference point during cosmetic and reconstructive surgical interventions of the eyelid and accurate measurements are essential for preoperative assessment, surgical planning and postoperative evaluation. Hence more studies on the validation of the anthropometry measurements and eyelid angle using digital image analysis areessential to use digital image analysis in routine eye care practice.

Digital image analysis method to assess the performance of conventional and self-limiting concepts in dentine caries removal

2013 ◽  
Vol 41 ◽  
pp. e31-e38 ◽  
Author(s):  
Manuel Toledano ◽  
Razvan Ghinea ◽  
Juan C. Cardona ◽  
Inmaculada Cabello ◽  
Mónica Yamauti ◽  
...  
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Caries Removal

Digital Image Analysis Method for Estimation of Fusarium-Damaged Kernels in Wheat

Crop Science ◽  
2014 ◽  
Vol 54 (5) ◽  
pp. 2077-2083 ◽  
Author(s):  
Peter V. Maloney ◽  
Stine Petersen ◽  
Rene A. Navarro ◽  
David Marshall ◽  
Anne L. McKendry ◽  
...  
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Analysis Method ◽  
Image Analysis Method

scholarly journals ANALISIS GAMBAR DIGITAL UNTUK SERANGAN PENYAKIT LAYU FUSARIUM DI PISANG MENGGUNAKAN IMAGEJ

2020 ◽  
Vol 19 (3A) ◽  
Author(s):  
Ahmad Zaelani ◽  
Wulan S. Kurniajati ◽  
Herlina Herlina ◽  
Diyah Martanti ◽  
Fajarudin Ahmad
Keyword(s):  
Image Analysis ◽  
Fusarium Oxysporum ◽  
Digital Image ◽  
Plant Material ◽  
Digital Image Analysis ◽  
Wilt Disease ◽  
Disease Assessment ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Percentage Area

Fusarium wilt disease caused by Fusarium oxysporum f. sp. cubense is the most dangerous disease in banana. Recently, development of new banana varieties has been the most effective ways to prevent this disease. To develop the resistant banana, Fusarium severity analysis is the important part in the process of Fusarium disease assessment to quantify the disease severity.. The objective of this study was to develop digital image analysis method for Fusarium severity analysis by using software ImageJ. Pisang Ambon and Pisang Cavendish were used as plant material due to its susceptibility of the disease. Fusarium severity analysis performed as follows (i) Photographing of Fusarium-infected rhizom (ii) Digital image analysis by using ImageJ of the taken image. The analysis result was percentage area of Fusarium-infected rhizom, represented by necrosis and discoloration. The percentage of rhizome infected by Fusarium- of Pisang Ambon#1 was 50.10%, while Pisang Ambon#2 was 22.23%. In addition, the percentage of Pisang Cavendish#1 and Pisang Cavendish#2 was 28.52% and 39.5%, respectively. Digital image analysis of the sample showed consistent result and more objective. Development of the digital image analysis is not only useful for Fusarium severity analysis in Banana, but also for other crops.   

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