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El. knyga: Proceedings of the International Conference on Sensing and Imaging

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This book collects ?a number of papers presented at the International Conference on Sensing and Imaging, which was held at Chengdu University of Information Technology on June 5-7, 2017. Sensing and imaging is an interdisciplinary field covering a variety of sciences and techniques such as optics, electricity, magnetism, heat, sound, mathematics, and computing technology. The field has diverse applications of interest such as sensing techniques, imaging, and image processing techniques. This book will appeal to professionals and researchers within the field. 
Chapter1: Sensing and Actuation: A Case for Multidisciplinary
Engineering Education.-  Chapter2: Advances in Reconstruction Algorithms for
Diffuse Correlation Spectroscopy and Tomography.
Chapter3: Steady and
Transient Flow CFD Simulations in an Aorta Model of Normal and Aortic
Aneurysm Subjects.
Chapter4: Blur-Specific No-Reference Image
Quality Assessment: A Classification and Review of Representative Methods.-
Chapter5: Intensity Inhomogeneity Quantization based Variational Model for
Segmentation of Hepatocellular Carcinoma (HCC) in Computed Tomography (CT)
Images.
Chapter6: A novel computed tomography scanning mode and local image
reconstruction of impurities in pipeline.
Chapter7: A Linearity Bootstrapped
Switch with Dynamic Bulk Biasing Design for CMOS Image Sensors.
Chapter8: A
Low-Complexity Bound Estimation Technique for Maximum Likelihood Receivers.-
Chapter9: Analysis of RF Channel Isolation Impactin Wireless Co-time
Co-frequency Full Duplex.
Chapter10: Application of a dual motor synchronous
servo control system to the photoelectronic detection system.-
Chapter11: Calibrating TOF Sensor by Fusing Normal Maps.
Chapter12: Flame
Temperature Sensor Based on a Silicon Nitride Hot Surface Igniter.-
Chapter13: Analytical Calculation of Induced Voltages of Uniform Eddy Current
Probes above a Moving Conductor.
Chapter14: An Enhanced Unscented Kalman
Filter Method based on the Covariance Intersection Algorithm.-
Chapter15: Application in Image Denoising using Fractional Total Variation
Theory.
Chapter16: Total Variation with Overlapping Group 2 Sparsity for
Removing Mixed Noise.
Chapter17: Image restoration for target behind
inhomogeneous turbid medium via longitudinal laser tomography.
Chapter18: A
hybrid approach for object proposal generation.
Chapter19: Adaptive-order
Regression-based MR Image Super-resolution.-Chapter20: A Cone-Beam CT
Reconstruction Algorithm Constrained by Non-local Prior from Sparse-View
Data.
Chapter21: Robust binary keypoint descriptor based on local
hierarchical octagon pattern.-  Chapter22: Seamless mosaicking of multi-strip
airborne hyperspectral images based on Hapke model.
Chapter23: Computational
Calibration and Correction for Gigapixel Imaging System.
Chapter24: Expected
Value Correction Based Computed Tomography for Airplane Engine.-
Chapter25: Low-dose CT post-processing based on 2D residual network.-
Chapter26: Phase Congruency and Its Application to Tubular Structure
Extraction.
Chapter27: Non-rigid 3D CT/MR Liver Registration
with Discontinuous Transforms using Total Variation Regularization.-
Chapter28: Directional diffusion filter bank and texture quality measurement
for robust orientation estimation and enhancement of fingerprint images.-
Chapter29: Optimization of Event Processingin RFID Enabled Healthcare.-
Chapter30: Measurement of the Gas-solid Flow in a Wurster Tube Using 3D
Electrical Capacitance Tomog-raphy Sensor.
Chapter31:  Investigation the
application of electrical capacitance tomography on pipe flow with thick
wall.
Chapter32: A New Method for Differential Phase Contrast Imaging
without Phase Stepping.
Chapter33: Automatic Liver Tumor Segmentation Based
on Random Forest and Fuzzy Clustering.
Chapter34: Using Electrically Tunable
Lens to Improve Axial Resolution and Imaging Field in Light Sheet
Fluorescence Microscope.