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Proceedings of the International Conference on Sensing and Imaging
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Beskrivning
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. The field has diverse applications of interest such as sensing techniques, imaging, and image processing techniques.
Produktinformation
- Utgivningsdatum:2018-12-22
- Mått:155 x 235 x undefined mm
- Vikt:668 g
- Format:Häftad
- Språk:Engelska
- Serie:Lecture Notes in Electrical Engineering
- Antal sidor:430
- Förlag:Springer Nature Switzerland AG
- ISBN:9783030062750
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Innehållsförteckning
- 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.
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