NDLI: Edge-based detection of sky regions in images for solar exposure prediction

Content Provider	IEEE Xplore Digital Library
Author	Laungrungthip, N. McKinnon, A.E. Churcher, C.D. Unsworth, K.
Copyright Year	2008
Description	Author affiliation: Appl. Comput. Group, Lincoln Univ., Canterbury (Laungrungthip, N.; McKinnon, A.E.; Churcher, C.D.; Unsworth, K.)
Abstract	A device for predicting the solar exposure at a location operates by gathering image data from that location with a known camera orientation. The image data is then processed to identify the sky regions and the solar exposure is predicted using a standard sun path model and tracing the rays from the sun through the processed images. Critical to the success of this technique is the image processing used to separate the sky from the rest of the image. This work is concerned with developing a technique which can do this for images taken under different weather conditions. The general approach to separate the sky from the rest of the image is to use the Canny edge detector and the morphology closing algorithm to find the regions in the image. The brightness and area of each region are then used to determine which regions are sky. The FloodFill algorithm is applied to identify all pixels in each sky region.
Starting Page	1
Ending Page	6
File Size	352675
Page Count	6
File Format	PDF
ISBN	9781424437801
DOI	10.1109/IVCNZ.2008.4762101
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-26
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	image processing Solar exposure Image edge detection Image processing Digital images Brightness Predictive models skyline Sun image segmentation Water heating Morphology Detectors Cameras
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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