We present a new framework for the hierarchical segmentation of color images. The proposed scheme comprises a nonlinear scale-space with vector-valued gradient watersheds. Our aim is to produce a meaningful hierarchy among the objects in the image using three image components of distinct perceptual significance for a human observer, namely strong edges, smooth segments and detailed segments. The scale-space is based on a vector-valued diffusion that uses the Additive Operator Splitting numerical scheme. Furthermore, we introduce the principle of the dynamics of contours in scale-space that combines scale and contrast information. The performance of the proposed segmentation scheme is presented via experimental results obtained with a wide range of images including natural and artificial scenes.
Vanhamel, I, Pratikakis, I & Sahli, H 2003, 'Multiscale Gradient Watersheds of Color Images', IEEE Transactions on Image Processing, vol. 12, pp. 617-626. <http://ieeexplore.ieee.org/search/freesrchabstract.jsp?tp=&arnumber=1208310&queryText%3DMultiscale+Gradient+Watersheds+of+Color+Images%26openedRefinements%3D*%26searchField%3DSearch+All>
Vanhamel, I., Pratikakis, I., & Sahli, H. (2003). Multiscale Gradient Watersheds of Color Images. IEEE Transactions on Image Processing, 12, 617-626. http://ieeexplore.ieee.org/search/freesrchabstract.jsp?tp=&arnumber=1208310&queryText%3DMultiscale+Gradient+Watersheds+of+Color+Images%26openedRefinements%3D*%26searchField%3DSearch+All
@article{313c6cfce6d641c2854652f1307b62f8,
title = "Multiscale Gradient Watersheds of Color Images",
abstract = "We present a new framework for the hierarchical segmentation of color images. The proposed scheme comprises a nonlinear scale-space with vector-valued gradient watersheds. Our aim is to produce a meaningful hierarchy among the objects in the image using three image components of distinct perceptual significance for a human observer, namely strong edges, smooth segments and detailed segments. The scale-space is based on a vector-valued diffusion that uses the Additive Operator Splitting numerical scheme. Furthermore, we introduce the principle of the dynamics of contours in scale-space that combines scale and contrast information. The performance of the proposed segmentation scheme is presented via experimental results obtained with a wide range of images including natural and artificial scenes.",
author = "Iris Vanhamel and Ioanis Pratikakis and Hichem Sahli",
note = "IEEE Transactions on Image Processing, Vol. 12, Nr. 6, pp. 617-626.",
year = "2003",
language = "English",
volume = "12",
pages = "617--626",
journal = "IEEE Transactions on Image Processing",
issn = "1057-7149",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
}