Abstract
We present a new nonparametric cooperative approach to multiband image segmentation. It is based on cooperation between region-growing segmentation and edge segmentation. This approach requires no input data other than the images to be processed. It uses a spectral homogeneity criterion whose threshold is determined automatically. The threshold is adaptive and varies depending on the objects to be segmented. Applying this new approach to very high resolution satellite imagery has yielded satisfactory results. The approach demonstrated its performance on images of varied complexity and was able to detect objects of great spatial and spectral heterogeneity.
© 2009 Optical Society of America
Full Article | PDF ArticleMore Like This
Miquel Ralló, María S. Millán, and Jaume Escofet
J. Opt. Soc. Am. A 26(9) 1967-1976 (2009)
Jing Zhang, Wenhao Geng, Li Zhuo, Qi Tian, and Yan Cao
Appl. Opt. 55(28) 8089-8100 (2016)
Xiaoming Yin, Xiang Li, Liping Zhao, and Zhongping Fang
Appl. Opt. 48(32) 6088-6098 (2009)