Ping-Feng Chen

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We propose a constrained version of Mumford and Shah's (1989) segmentation model with an information-theoretic point of view in order to devise a systematic procedure to segment brain magnetic resonance imaging (MRI) data for parametric T(1)-Map and T(1)-weighted images, in both 2-D and 3D settings. Incorporation of a tuning weight in particular adds a(More)
In this paper we propose a constrained version of MumfordShah’s[1] segmentationwith an information-theoretic point of view[2] in order to devise a systematic procedure to segment brain MRI data for two modalities of parametric T1-Map and T1-weighted images in both 2-D and 3-D settings. The incorporation of a tuning weight in particular adds a probabilistic(More)
In this paper we propose to jointly segment and register objects of interest in layered images. Layered imaging refers to imageries taken from different perspectives and possibly by different sensors. Registration and segmentation are therefore the two main tasks which contribute to the bottom level, data alignment, of the multisensor data fusion(More)
Two-dimensional electrophoresis gel image is a popular method used in protein studies. The image is often affected by image brightness which might result in inaccurate diagnostics. High dynamic range (HDR) takes a set of photographs taken in different range exposures and converges all into one single image containing details from a range of brightness(More)
*Correspondence: ghxu@zafu.edu.cn 2School of Science, Zhejiang A&F University, Hangzhou, 311300, China Full list of author information is available at the end of the article Abstract Let S(G ) be the skew-adjacency matrix of an oriented graph G with n vertices, and let λ1,λ2, . . . ,λn be all eigenvalues of S(G ). The skew-spectral radius ρs(G ) of G is(More)
In this paper we propose a constrained version of Mumford-Shah's[1] segmentationwith an information-theoretic point of view[2] in order to devise a systematic procedure to segment brain MRI data for two modalities of parametric T<inf>1</inf>-Map and T<inf>1</inf>-weighted images in both 2-D and 3-D settings. The incorporation of a tuning weight in(More)
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