A MEASUREMENT TOOL FOR VISIBLE GREENERY RATIO DERIVED FROM GAUSSIAN BLUR, HUE AND SATURATION FILTERING

Yakui Ding1, Tomohiro Fukuda2, Nobuyoshi Yabuki3 and Takashi Michikawa4

1) Master Course Student, Department of Sustainable Energy and Environmental Engineering, Osaka University, Suita, Osaka, JAPAN.
2) Dr. Eng., Assoc. Prof., Department of Sustainable Energy and Environmental Engineering, Osaka University, Suita, Osaka, JAPAN.
3) Ph.D., Prof., Department of Sustainable Energy and Environmental Engineering, Osaka University, Suita, Osaka, JAPAN.
4) Dr. Eng., Assist. Professor, Center for Environmental Innovation Design for Sustainability, Osaka University, Suita, Osaka, JAPAN.

Abstract: Greening has been promoted to improve the city environment. Quantification of green is a very important issue to increase a criteria for stakeholders in a greening process. This research focuses on visible greenery ratio which defines the amount of greenery in the field of vision. Some measurement methods of visible greenery ratio have been proposed but it takes much time and human error occurs because of manual operation using an image processing software. Therefore, in this research, the authors developed an automated measurement system with Gaussian blur, hue and saturation filtering based on image processing technology for efficient visible greenery ratio measurement. Through the verification experiment, the proposed method could achieve a similar result of extracted pixels of green areas to the traditional manual method, and decrease calculation time shorter. In conclusion, the proposed method was evaluated feasible and effective.

Keywords: Visible greenery ratio, measurement tool, image processing, Gaussian blur, hue, saturation.

Bibliographical Reference:
Yakui Ding, Tomohiro Fukuda, Nobuyoshi Yabuki, and Takashi Michikawa. “A MEASUREMENT TOOL FOR VISIBLE GREENERY RATIO DERIVED FROM GAUSSIAN BLUR, HUE AND SATURATION FILTERING.” In Proceedings of International Conference on Civil and Building Engineering Informatics (ICCBEI 2015), 104. Tokyo, Japan, 2015.

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