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APPLICATION OF DIGITAL IMAGE PROCESSING FOR COLOR AND SHAPE CHANGES IN JASMINE FLOWERS
Authors: Humeera Tazeen,
Talha Tufaique,
Astina Joice,
C Igathinathane
Identifier: CSBE23196
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Published in: CSBE-SCGAB Technical Conferences » AGM Lethbridge 2023
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Description: Jasmine flowers are prized for their exotic scent, and their essential oils have a wide range of uses in industries such as perfume, food, pharmaceutical, and medicine. However, these flowers have a short shelf life. They are vulnerable to light, temperature, and humidity, which can cause photo-oxidative stress and lead to the breakdown of pigments and dehydration, resulting in petal browning and reduced visual appeal and overall value. To determine the proper shelf life for packing and storage of jasmine flowers, it is necessary to measure the temporal color variation and quantify the color degradation post-harvest. Manual methods of color measurement and variation over time are cumbersome and not feasible, therefore digital image capture, image processing, and analysis techniques were applied using ImageJ software. Jasmine flowers were captured digitally on a black background at fixed intervals using a smartphone camera under ambient conditions. The ImageJ plugin processes the image and analyzes the flower color variation and petals opening over time and models the kinetics. Image processing operations such as, image cropping, artifacts removal, thresholding for background extraction, petal color measurement, shape parameters evaluation, color and shape kinetics, visualization, and model fitting were followed. The results of this analysis provide insights into the color degradation of flower petals and flowering kinetics, which can influence the overall flower quality and customer acceptance. Further research may be needed to investigate the effect of storage environment conditions, especially temperature, and relative humidity, and determine the optimal conditions for extending shelf life.
Keywords: Jasmine, Color kinetics, Digital image, Temperature, Humidity, Shape parameters, Image processing.
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Date: 2023-07-23
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Conference name: CSBE/SCGAB 2023 Annual Conference, Lethbridge, Alberta, 23-26 July 2023.
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Type: Presentation
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Publication type: Text.Abstract
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Coverage: North_America
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
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DOI:
Description: Jasmine flowers are prized for their exotic scent, and their essential oils have a wide range of uses in industries such as perfume, food, pharmaceutical, and medicine. However, these flowers have a short shelf life. They are vulnerable to light, temperature, and humidity, which can cause photo-oxidative stress and lead to the breakdown of pigments and dehydration, resulting in petal browning and reduced visual appeal and overall value. To determine the proper shelf life for packing and storage of jasmine flowers, it is necessary to measure the temporal color variation and quantify the color degradation post-harvest. Manual methods of color measurement and variation over time are cumbersome and not feasible, therefore digital image capture, image processing, and analysis techniques were applied using ImageJ software. Jasmine flowers were captured digitally on a black background at fixed intervals using a smartphone camera under ambient conditions. The ImageJ plugin processes the image and analyzes the flower color variation and petals opening over time and models the kinetics. Image processing operations such as, image cropping, artifacts removal, thresholding for background extraction, petal color measurement, shape parameters evaluation, color and shape kinetics, visualization, and model fitting were followed. The results of this analysis provide insights into the color degradation of flower petals and flowering kinetics, which can influence the overall flower quality and customer acceptance. Further research may be needed to investigate the effect of storage environment conditions, especially temperature, and relative humidity, and determine the optimal conditions for extending shelf life.
Keywords: Jasmine, Color kinetics, Digital image, Temperature, Humidity, Shape parameters, Image processing.
Résumé:
Mots-clés:
Citation:
Volume:
Issue:
Pages -
Contributor:
Date: 2023-07-23
Technical field:
Conference name: CSBE/SCGAB 2023 Annual Conference, Lethbridge, Alberta, 23-26 July 2023.
Session name:
Other information:
Type: Presentation
Format:
Publication type: Text.Abstract
Source:
Relation:
Coverage: North_America
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
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