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Creation of Multiple Subwavelength Focal Spot Segments Using Phase Modulated Radially Polarized Multi Gaussian Beam
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作者 K.Prabakaran K.B.Rajesh +4 位作者 S.Sumathira M.D.Bharathi R.Hemamalini A.M.Musthafa V.Aroulmoji 《Chinese Physics Letters》 SCIE CAS CSCD 2016年第9期48-51,共4页
Based on the vector diffraction theory, the effect of complex phase filters on intensity distribution of a radially polarized multi Gaussian beam in the focal region of high NA lens is theoretically investigated. It i... Based on the vector diffraction theory, the effect of complex phase filters on intensity distribution of a radially polarized multi Gaussian beam in the focal region of high NA lens is theoretically investigated. It is observed that a properly designed multi belt complex phase filter can generate subwavelength novel focal patterns including splitting of focal spots and generation of multiple focal spot segments such as eight, six and four focal spots along the optical axis are obtained. We expect that such an investigation is useful for optical manipulation and material processing, multiple high refractive index particle trapping technologies. 展开更多
关键词 of for Creation of multiple Subwavelength Focal Spot Segments Using Phase Modulated Radially Polarized Multi Gaussian Beam on is in
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Modified Multiple Scale/Segment Entropy (MMPE) Analysis of Heart Rate Variability of NHH, CHF & AF Subjects
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作者 Chodavarapu Renu Madhavi Alevoor Gopal Krishnachar Ananth 《Journal of Life Sciences》 2011年第8期593-597,共5页
Nonlinear analysis of heart rate variability (HRV) has become important as heart behaves as a complex system. In this work, the approximate entropy (ApEn) has been used as a nonlinear measure. A new concept of est... Nonlinear analysis of heart rate variability (HRV) has become important as heart behaves as a complex system. In this work, the approximate entropy (ApEn) has been used as a nonlinear measure. A new concept of estimating the ApEn in different segments of long length of the recorded data called modified multiple scale (segment) entropy (MMPE) is introduced. The idea of estimating the approximate entropy in different segments is useful to detect the nonlinear dynamics of the heart present in the entire length of data. The present work has been carried out for three cases namely the normal healthy heart (NHH) data, congestive heart failure (CHF) data and Atrial fibrillation (AF) data and the data are analyzed using MMPE techniques. It is observed that the mean value of ApEn for NHH data is much higher than the mean values for CHF data and AF data. The ApEn profiles of CHF, AF and NHH data for different segments obtained using MPE profiles measures the heart dynamism for the three different cases. Also the power spectral density is obtained using fast fourier transform (FFT) analysis and the ratio of LF/HF (low frequency/high frequency) power are computed on multiple scales/segments namely MPLH (multiple scale low frequency to high frequency) for the NHH data, CHF data and AF data and analyzed using MPLH techniques. The results are presented and discussed in the paper. 展开更多
关键词 multiple scale/segment heart rate variability approximate entropy congestive heart failure atrial fibrillations.
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Fast interactive segmentation algorithm of image sequences based on relative fuzzy connectedness 被引量:1
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作者 Tian Chunna Gao Xinbo 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2005年第4期750-755,共6页
A fast interactive segmentation algorithm of image-sequences based on relative fuzzy connectedness is presented. In comparison with the original algorithm, the proposed one, with the same accuracy, accelerates the seg... A fast interactive segmentation algorithm of image-sequences based on relative fuzzy connectedness is presented. In comparison with the original algorithm, the proposed one, with the same accuracy, accelerates the segmentation speed by three times for single image. Meanwhile, this fast segmentation algorithm is extended from single object to multiple objects and from single-image to image-sequences. Thus the segmentation of multiple objects from complex hackground and batch segmentation of image-sequences can be achieved. In addition, a post-processing scheme is incorporated in this algorithm, which extracts smooth edge with one-pixel-width for each segmented object. The experimental results illustrate that the proposed algorithm can obtain the object regions of interest from medical image or image-sequences as well as man-made images quickly and reliably with only a little interaction. 展开更多
关键词 fuzzy connectedness interactive image segmentation image-sequences segmentation multiple objects segmentation fast algorithm.
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