The Proceedings Of The International Conference On Sensing And Imaging, 2018 (lecture Notes In Electrical Engineering)

This book proceedings collects ​a number of papers presented at the International Conference on Sensing and Imaging, which was held at Guangxi University of Science and Technology from October 15-18, 2018. Sensing and imaging is an interdisciplinary field covering a variety of sciences and techniques such as optics, electricity, magnetism, heat, sound, and computing technologies. The field has diverse applications of interest such as image processing techniques.The results in the book bridge the gap between theory and applications, translating techniques into better products. The text will appeal to students, professionals and researchers alike. Preface......Page 8 Contents......Page 10 1 Introduction......Page 12 2 Rough Set Theory and Reduction Algorithm......Page 13 Fuzzy Clustering......Page 15 Rough Clustering......Page 16 Fuzzy Rough Clustering......Page 17 Fuzzy Rough Clustering Based on Attribute Reduction......Page 18 Experimental Setting......Page 19 Comparison of the Accuracy of Each Algorithm......Page 20 Parameter Experiments of FRCMbR Algorithm......Page 21 6 Conclusion......Page 23 References......Page 24 Electrical Resistance Tomography Based on Internal ElectrodeExcitation......Page 25 Principle of ERT......Page 26 The Effect of Sensitivity Coefficient Amplitude Distribution on Image Reconstruction......Page 27 Image Reconstruction Analysis of Adjacent Excitation Modes......Page 28 Image Reconstruction of Internal Electrode Excitation Mode......Page 30 Algorithms for Mixed Excitation Mode......Page 33 Experimental Conditions......Page 35 Noise Free......Page 36 With Noise......Page 37 5 Conclusion......Page 38 References......Page 39 1 Introduction......Page 40 2 A Brief Review of SIFT Scale Space Construction and Key-Point Detection......Page 41 3 Approximation of Gaussian Smoothing Using Repeated Averaging Filter......Page 42 4 Scale Space Construction via Repeated Averaging Filtering......Page 43 5 Key-Point Detection......Page 45 6 Experimental Results......Page 46 References......Page 48 1 Introduction......Page 50 2 Requirements Analysis......Page 51 Image Mosaic and Electronic Map Fusion......Page 52 Visual and Infrared Image Fusion......Page 53 Target Detection and Recognition......Page 55 Target Location......Page 56 Artillery Correction and Damage Assessment......Page 58 4 Conclusion......Page 59 References......Page 60 1 Introduction......Page 61 2 Faster RCNN Algorithm......Page 62 Faster RCNN Network Architecture......Page 63 RPN Loss Function......Page 64 3 Adaptive Image Division Algorithm......Page 65 4 Experiments and Results......Page 66 Network Training......Page 67 Results on Reconnaissance Images......Page 68 5 Conclusion......Page 70 References......Page 72 1 Introduction......Page 73 2 Horizontal Settling Slurry Flow Regimes......Page 74 3 ERT System and Principle......Page 75 4 Experiment Setup......Page 78 5 Results and Discussions......Page 79 References......Page 82 1 Introduction......Page 84 2 Processing Chain......Page 85 3 Method......Page 86 Data and Experiment Parameters......Page 87 SCNR Improvement and Clutter Cancellation Analysis......Page 88 Optimal Moving Target Detection Result......Page 89 5 Conclusion......Page 92 References......Page 93 Ship Detection Using X-Bragg Scattering Model Based on Compact Polarimetric SAR......Page 94 1 Introduction......Page 95 2 New Method for Feature Analysis......Page 96 Circular Polarization Ratio......Page 98 Roundness......Page 99 Relative Phase......Page 100 4 Conclusion......Page 101 References......Page 102 1 Introduction......Page 104 2 Sentinel-1 IW Level-1 GRD Data......Page 105 Distribution Model......Page 106 Evaluation Methodology......Page 107 Analysis of Goodness-of-Fit......Page 108 Detection Performance......Page 109 References......Page 110 1 Introduction......Page 112 2 Proposed Method......Page 114 3 Experiments and Results......Page 117 4 Conclusion......Page 119 References......Page 120 1 Introduction......Page 121 Color Feature Extraction of Players and Referees......Page 122 Color Classification, Segmentation, and Feature Extraction......Page 123 Contour Feature Extractions of Players......Page 124 Feature Extractions for Stadium Line......Page 126 Feature Extractions for Motion Trajectory of Player and Ball......Page 128 Extraction of Temporal and Spatial Interest Points of Players and the Referee......Page 131 References......Page 134 1 Introduction......Page 136 2 A Resonant Method for Metal Strip Edge Detection......Page 137 3 General......Page 138 4 The Proposed Method......Page 140 5 Oscillators......Page 141 7 Calibration......Page 142 9 Operation of the Sensor......Page 143 10 Performance......Page 145 References......Page 146 1 Introduction......Page 147 2 Microwave Microscopy......Page 150 3 Resonant Testing Methods......Page 154 4 Testing Through Monitoring of Moisture Content......Page 156 5 Reflection, Transmission, and Scattering Testing Methods......Page 158 6 Radar Methods......Page 159 7 Other Methods......Page 161 References......Page 162 1 Introduction......Page 166 2 Maxwell Differential Equations and EIT Problem......Page 167 3 Finite Element (FE) Method to Formulate the EIT Forward Problem......Page 168 4 SVD Method to Solve the EIT Inverse Problem......Page 169 5 A Simple Experiment to Demonstrate SVD Method......Page 170 6 Further Discussion on the Implications of Electrical Properties on Cells and Tissues of Animals and Human Bodies......Page 172 References......Page 173 1 Introduction......Page 175 2 Methods......Page 176 DCS Principle and NL Algorithm for BFI Extraction......Page 177 DCS Denoising Methods......Page 179 Computer Simulations......Page 180 Phantom Experiment......Page 181 Computer Simulation Result......Page 182 Phantom Experiment Result......Page 183 4 Conclusion and Discussion......Page 184 References......Page 185 Intensity Inhomogeneity Image Segmentation Based on Active Contours Driven by Self-Similarity......Page 187 1 Introduction......Page 188 2 Model and Algorithm......Page 190 3 Experimental Results......Page 196 References......Page 198 1 Introduction......Page 201 Temperature Measurement System Based on Digital Imaging......Page 202 Imaging Principle and Calculation Method......Page 203 Calibration in Blackbody Furnace......Page 204 The Projection Temperature Distributions of Blast Furnace Raceway......Page 205 4 Conclusions......Page 208 References......Page 209 1 Introduction......Page 210 Weak Magnetic Stress Internal Detection Mechanism of Pipeline......Page 211 Weak Magnetic Stress Internal Detection Technology of the Pipeline......Page 212 3 Influencing Factors in the Internal Detection of Weak Magnetic Stress......Page 213 Influence of External Magnetic Field on Weak Magnetic Signal......Page 214 Influence of Liftoff on Weak Magnetic Signal......Page 215 4 Engineering Application of the Weak Magnetic Stress Internal Detection Technology......Page 216 5 Future Prospects......Page 217 References......Page 218 Index......Page 220 This book proceedings collects a number of papers presented at the International Conference on Sensing and Imaging, which was held at Guangxi University of Science and Technology from October 15-18, 2018. Sensing and imaging is an interdisciplinary field covering a variety of sciences and techniques such as optics, electricity, magnetism, heat, sound, and computing technologies. The field has diverse applications of interest such as image processing techniques. The results in the book bridge the gap between theory and applications, translating techniques into better products. The text will appeal to students, professionals and researchers alike