Mustafa Sakalli
Marmara University
Publications 2
#1Nili Tian (Guangzhou Higher Education Mega Center)
#2Xiaoling Wang (Guangzhou Higher Education Mega Center)
Last.Mustafa Sakalli (Marmara University)
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An approximated empirical mode decomposition generates a set of approximated intrinsic mode functions via a linear, nonadaptive but iterative approach. The decomposition was found to be very useful for a content-independent pattern recognition application. As the process is characterized by a system kernel matrix and performed iteratively, the approximated intrinsic mode functions can be understood as the original signals processed by a set of mask operations. Here, some properties of the decomp...
Aug 1, 2014 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Mustafa Sakalli (Marmara University)
#2Tuan D. Pham (University of Aizu)H-Index: 21
Last.Hong Yan (CityU: City University of Hong Kong)H-Index: 56
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This paper presents a segmentation methodology of abdominal axial CT images. The aim of the study is to determine the location of mesenteric area from the axial images so the organs enclosed within can be localized precisely for diagnostic purposes. The challenge confronted here is that there is no a certain deterministic shape of abdominal organs. The methodology implemented here utilizes a curvelets stage followed by morphological image processing to achieve a contour emphasized segmentation f...