Title :
Image Feature Extraction from Tea Leaves for Measuring the Degree of the Steaming
Author :
Kamisoyama, Yuya ; Tsagaan, Baigalmaa ; Sugiyama, Takahiro ; Nakatani, Hiromasa ; Kitahashi, Tadahiro
Author_Institution :
Grad. Sch. of Inf., Shizuoka Univ., Hamamatsu, Japan
Abstract :
Suitable steaming of tea leaves is a vital process in the tea manufacturing. In this paper, we propose a method of feature extraction from tea leaves for measuring the degree of the steaming. Observing the changes of shape and color of tea leaves by the steaming, we found that central veins gradually stand out. Therefore, we adopted the contrast between color of the central vein and its surrounding areas to measure the degree of the steaming. This paper describes a method to detect central veins of tea leaves and analyze the feature of contrast by using image processing techniques.
Keywords :
beverage industry; feature extraction; image colour analysis; object detection; production engineering computing; quality control; central vein detection; contrast feature; image feature extraction; image processing techniques; steaming degree measurement; tea industries; tea leaves color; tea leaves shape; tea leaves steaming; Area measurement; Educational institutions; Feature extraction; Image color analysis; Image edge detection; Informatics; Veins; central vein; image processing; tea;
Conference_Titel :
Advanced Applied Informatics (IIAIAAI), 2012 IIAI International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4673-2719-0
DOI :
10.1109/IIAI-AAI.2012.83