دورية أكاديمية

Trigit: A free web application for rapid colorimetric analysis of images

التفاصيل البيبلوغرافية
العنوان: Trigit: A free web application for rapid colorimetric analysis of images
المؤلفون: Angie Davina Tjandra, Tristan Heywood, Rona Chandrawati
المصدر: Biosensors and Bioelectronics: X, Vol 14, Iss , Pp 100361- (2023)
بيانات النشر: Elsevier, 2023.
سنة النشر: 2023
المجموعة: LCC:Biotechnology
مصطلحات موضوعية: Colorimetric analysis, Image processing, Color extraction tool, RGB extraction, CMYK extraction, HSV extraction, Biotechnology, TP248.13-248.65
الوصف: Color visualization is one of the fundamental aspects in advancing many scientific fields. For example, monitoring color change has been used to identify abnormalities in health, environmental, water, agricultural, and food quality. Human color vision is subjective, and objective colorimetric analysis is essential to prevent incorrect deductions. ImageJ program is commonly used to process color images. Although versatile, ImageJ is neither designed nor optimized for color extraction and analysis. As such, the color extraction process is slow and the user interface is not intuitive. To streamline this process, we designed Trigit (http://trigit.com.au) as a free, rapid, and user-friendly web app to quantify color signals from images. The estimated analysis time is ∼1.5 min for new users and
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2590-1370
Relation: http://www.sciencedirect.com/science/article/pii/S2590137023000584; https://doaj.org/toc/2590-1370
DOI: 10.1016/j.biosx.2023.100361
URL الوصول: https://doaj.org/article/96a8d3919e294717a82f092ced64d39e
رقم الأكسشن: edsdoj.96a8d3919e294717a82f092ced64d39e
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:25901370
DOI:10.1016/j.biosx.2023.100361