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\iteman{io-port 05978272}
\itemau{Wan, Tao; Qin, Zengchang}
\itemti{Statistical multisensor image segmentation in complex wavelet domains.}
\itemso{Maino, Giuseppe (ed.) et al., Image analysis and processing -- ICIAP 2011. 16th international conference, Ravenna, Italy, September 14--16, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-24087-4/pbk). Lecture Notes in Computer Science 6979, 60-68 (2011).}
\itemab
Summary: We propose an automated image segmentation algorithm for segmenting multisensor images, in which the texture features are extracted based on the wavelet transform and modeled by generalized Gaussian distribution (GGD). First, the image is roughly segmented into textured and non-textured regions in the dual-tree complex wavelet transform (DT-CWT) domain. A multiscale segmentation is then applied to the resulting regions according to the local texture characteristics. Finally, a novel statistical region merging algorithm is introduced by measuring a Kullback-Leibler distance (KLD) between estimated GGD models for the neighboring segments. Experiments demonstrate that our algorithm achieves superior segmentation results.
\itemrv{~}
\itemcc{}
\itemut{multisensor image segmentation; statistical modeling; complex wavelets}
\itemli{doi:10.1007/978-3-642-24088-1\_7}
\end