Attēla kvalitātes ietekme uz acs struktūru izvērtēšanu foto-diagnostikā
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Latvijas Universitāte
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lav
Abstract
Darba mērķis bija izpētīt 18 samazinātas kvalitātes spraugas lampas attēlu, kuros attēloti acu priekšējo daļu struktūras, ietekmi uz 5 profesionāļu atzinumiem. Attēli, kas sadalīti 3 6 attēlu komplektos trim samazināšanas filtriem, izplūdums (1-6), troksnis (7-12) un kontrasts (13-18), tika parādīti datora ekrānā un salīdzināti ar oriģinālajiem attēliem. Rezultāti tika saskaņoti ar īsto attēla diagnozi un novērtēti 3 punktu sistēmā, pareizs atradums: 1 un 0,5 (daļēji) punkti, nepareizs vai nav atrasts: 0 punkti. Tika reģistrēti 53 punkti no 90 (58% pareizi un 41% nepareizi). Rezultāti liecina, ka attēla kvalitātes samazināšana būtiski neietekmēja atradumus (jutīgums 97,78). Tomēr vislielāko ietekmi uz konstatējumiem atstāja izplūdums (57 %) un liela gaismas intensitāte (43 %). Attēla kvalitātes vērtējumu ietekmē arī subjektīvā vērtēšana un fotografēšanas prasmes.
The aim was to investigate the impact of 18 reduced quality slit-lamp images showing abnormal anterior eye structures on the findings of 5 professionals. Images were divided into 3 sets of 6 images for three reduction filters, blur (1-6), noise (7-12), and contrast (13-18). Images were evaluated on a computer screen and compared with original images. Findings were matched with true image diagnosis in scores of 3 points, 1 and 0.5 (partial) points for correct findings, and 0 points for incorrect or no findings. A total of 53 points from 90 was recorded (58 % correct, 41 % incorrect). Reduction of image quality did not significantly impact findings (97.78 sensitivity). However, blur (57 %) and high light levels (43 %) effects impacted findings. Evaluation of image quality is also impacted by subjective evaluation and capturing skill.
The aim was to investigate the impact of 18 reduced quality slit-lamp images showing abnormal anterior eye structures on the findings of 5 professionals. Images were divided into 3 sets of 6 images for three reduction filters, blur (1-6), noise (7-12), and contrast (13-18). Images were evaluated on a computer screen and compared with original images. Findings were matched with true image diagnosis in scores of 3 points, 1 and 0.5 (partial) points for correct findings, and 0 points for incorrect or no findings. A total of 53 points from 90 was recorded (58 % correct, 41 % incorrect). Reduction of image quality did not significantly impact findings (97.78 sensitivity). However, blur (57 %) and high light levels (43 %) effects impacted findings. Evaluation of image quality is also impacted by subjective evaluation and capturing skill.