A physical model-based approach to detecting sky in photographic images

Sky is among the most important subject matter frequently seen in photographic images. We propose a model-based approach consisting of color classification, region extraction, and physics-motivated sky signature validation. First, the color classification is performed by a multilayer backpropagation...

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Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 11; no. 3; pp. 201 - 212
Main Authors:	Jiebo Luo, Etz, S.P.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.03.2002 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Applied sciences Artificial intelligence Backpropagation algorithms Cathode ray tubes Classification Color Computer science; control theory; systems Content based retrieval Exact sciences and technology Extraction Image processing Image recognition Image retrieval Information, signal and communications theory Laboratories Layout Multi-layer neural network Multilayers Neural networks Pattern recognition. Digital image processing. Computational geometry Physics computing Signal processing Signatures Sky Studies Telecommunications and information theory Sky Backpropagation Photographic image Image processing Neural network Algorithm Image segmentation Physical model Object detection Feature extraction Gradient method Desaturation Image classification
ISSN:	1057-7149, 1941-0042
Online Access:	Get full text
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