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Signal Processing, Image Processing and Pattern Recognition - International Conference, SIP 2009, Held as Part of the Future Generation Information Technology Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Proceedings (Communication

Dominik Slezak, Sankar K. Pal, Byeong-Ho Kang, Junzhong Gu, Hideo Kuroda, Tai-hoon Kim (Eds.)

 

Verlag Springer-Verlag, 2009

ISBN 9783642105463 , 341 Seiten

Format PDF, OL

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68,48 EUR


 

Title Page

2

Foreword

5

Preface

7

Organization

8

Table of Contents

9

A Blind Image Wavelet-Based Watermarking Using Interval Arithmetic

13

Introduction

13

Interval Arithmetic

14

Interval Wavelet Decomposition

14

Watermarking Algorithm

15

Considerations on the Proposed Algorithms

16

The Choice of Parameters

16

Relationship between Our Method and the HVS

17

Experimental Results

18

Conclusion

20

References

20

Hand Gesture Spotting Based on 3D Dynamic Features Using Hidden Markov Models

21

Introduction

21

Hidden Markov Models

22

3D Dynamic Feature Extraction

23

Gesture Spotting and Recognition System

24

Experimental Results

25

Isolated Gesture Recognition

25

Meaningful Gesture Spotting Test

26

Conclusion and Future Work

27

References

28

Objective Quality Evaluation of Laser Markings for Assembly Control

29

Introduction

29

Marking Evaluation

30

Marking Segmentation and Template Matching

30

Distortion Correction by Raster Alignment

31

Poll about Human Perception

32

Evaluation Methods

33

SystemConstruction

34

Verification

34

Conclusion

36

References

36

An Improved Object Detection and Contour Tracking Algorithm Based on Local Curvature

37

Introduction

37

Active Contour Model

38

Proposed Algorithm

39

Curvature Threshold and Inserting Additional Snake Points

39

Object Contour Tracking

40

Inserting and Deleting Snake Points

40

Experiments

41

Performance of Detection Analysis and Comparison

41

Performance of Tracking Analysis and Comparison

42

Conclusions

44

References

44

An Efficient Method for Noisy Cell Image Segmentation Using Generalized a-Entropy

45

Introduction

45

Entropy of Generalized Distributions

46

Proposed Segmentation Method

48

Preprocessing

48

Entropies Calculation

48

Image Thresholding

48

Morphology-Based Operations

49

Overlapping Cancelation

49

Non-objects Removal

49

Experimental Results

49

Conclusion

51

References

52

An Algorithm for Moving Multi-target Prediction in a Celestial Background

53

Introduction

53

Prediction of Moving Multi-targets

54

Targets Capture

54

Calculation of Targets Number and Coordinates

54

Image Block Processing

55

Target Prediction

56

Algorithm Simulation

57

Conclusion

58

References

59

Automatic Control Signal Generation of a CCD Camera for Object Tracking

60

Introduction

60

Signal to Control CCD Cameras

61

Creation of CCD Camera Control Signals

61

Creation of Pan Signals

62

Creation of Tilt Signals

63

Object Tracking Test of the CCD Camera

63

Initial Starting and Acceleration of CCD Camera Pan/Tilt

64

Effect of Frame Frequency

64

Effect of the Size of Pan/Tilt Signals

65

Object Tracking of CCD Camera

66

Conclusion

67

References

67

An Efficient Approach for Region-Based Image Classification and Retrieval

68

Introduction

68

Multi-level Neural Networks

69

Image Segmentation

70

Feature Extraction

71

Wavelet Decomposition

71

Color Moments

71

Proposed Approach

72

Preprocessing

72

Segmentation

73

Feature Extraction

73

Feature Normalization

73

Classification of Image Regions

73

Experimental Results

74

Conclusion

75

References

75

An Improved Design for Digital Audio Effect of Flanging

77

Introduction

77

Generation of Flanging Effect

77

The General Model

78

The Modified Model

78

Simulation Experiments and Result Analysis

79

Comparison of Modified Model with General Model

79

Performances of Modified Model for Different Modulation Waveforms

81

Conclusion

82

References

82

Robust Speech Enhancement Using Two-Stage Filtered Minima Controlled Recursive Averaging

84

Introduction

84

Overview of the Filtering Stage

85

Concept of Pre-processing

85

Spectral Gain Calculation

87

Enhancement Using FMCRA

87

Validation of the Two-Stage Progress

88

Noise Estimation

88

Experiments

89

Conclusions

91

References

92

Automatic Colon Cleansing in CTC Image Using Gradient Magnitude and Similarity Measure

94

Introduction

94

Proposed Method

95

Preprocessing

95

Histogram Peak Classification

96

Similarity Measure Classification

97

AT vs. ATT Layers

98

Reconstruction

99

Experimental Results

99

Discussion and Conclusions

100

References

101

A Scale and Rotation Invariant Interest Points Detector Based on Gabor Filters

102

Introduction

102

Gabor Functions

103

Rotation Invariant Interest Points Detection

104

Scale Selection in Gabor Scale-Space

105

Scale Invariant Interest Points Detection

106

Comparative Evaluation

107

Conclusion and Future Work

108

References

109

Signature Verification Based on Handwritten Text Recognition

110

Introduction

110

Related Work

111

Signature Recognition System

111

Preprocessing

111

Feature Extraction

111

Feature Normalization

115

Signature Verification

115

Experimental Results and Discussions

116

Conclusions

117

References

117

Effect of Image Linearization on Normalized Compression Distance

118

Introduction

118

Methodology

120

Kolmogorov Complexity and Derivations

120

Linearization Methods

121

Null Hypothesis Test

122

Dataset and Transformations

123

CompLearn

124

Statistical Analysis

125

Results

125

Discussion and Conclusion

126

Future Work

127

References

128

A Comparative Study of Blind Speech Separation Using Subspace Methods and Higher Order Statistics

129

Introduction

129

ICA Model

130

Blind Speech Separation Using High-Order Statistics

131

Separation of Mixed Speech Signals by OPCA

132

Experiments and Results

133

Conclusion

135

References

135

Automatic Fatigue Detection of Drivers through Yawning Analysis

137

Introduction

137

Literature Review

138

Proposed Approach

139

Image Acquisition

139

Face Detection and Tracking

139

Mouth Detection and Pupil Detection

140

Yawning Analysis and Driver Fatigue Monitoring

143

Experimental Results

143

Conclusion and Future Work

143

References

144

GA-SVM Based Lungs Nodule Detection and Classification

145

Introduction

145

Related Work

146

Proposed Method

147

Threshold Block

147

Background Removal

148

Edge Detection and Thinning

148

Lungs Border Identification and Reconstruction

148

Filling and Lungs Part Extraction

148

Histogram Based Threshold and Cleaning

148

Extraction of Region of Interests (ROIs)

149

Pruning of ROIs

150

Features Extraction and Classification

150

Experimental Results and Discussion

150

References

152

Link Shifting Based Pyramid Segmentation for Elongated Regions

153

Introduction

153

Literature Review

155

Overview

155

Segmentation Algorithms

156

Region Similarity and Unforced Linking

156

Pyramid Image Segmentation Algorithm

157

Creating the Initial Image Pyramid

157

Testing Similarity of Two Regions, Unforced Linking and Tie-Breaking Rule

157

Candidate Parents

158

Pyramid Segmentation

159

Experimental Results

160

Segmentation of Basic Shapes

160

Segmentation of Other Imagery

161

Future Work

163

References

163

A Robust Algorithm for Fruit-Sorting under Variable Illumination

165

Introduction

165

Experimental Set-Up

166

Methodology

166

Pre-processing

167

Defect Segmentation

168

Results

169

Conclusion

171

References

171

Selection of Accurate and Robust Classification Model for Binary Classification Problems

173

Introduction

173

Literature Review

174

One Class Classifier

174

Two Class Classifier

175

Experiments

175

Experimental Setup

175

Data Sets

175

Multi Class Classifier

175

One Class Classifier

176

Results and Discussion

176

Receiver Operating Curve (ROC)

177

Statistics (Pair Wise Measure)

177

Cross Validation Error

179

Conclusion

179

References

179

Robust Edge-Enhanced Fragment Based Normalized Correlation Tracking in Cluttered and Occluded Imagery

181

Introduction

181

EEFNC Tracking Framework

182

Experimental Results

185

Conclusion

187

References

188

Robust and Imperceptible Watermarking of Video Streams for Low Power Devices

189

Introduction

189

Background

190

Proposed Method

192

Test Results

193

Conclusions and Future Work

194

References

196

A New Ensemble Scheme for Predicting Human Proteins Subcellular Locations

197

Introduction

197

Materials and Methods

198

Proposed Method

198

Evaluation Methods

200

Results and Discussions

201

Conclusion

202

References

203

Designing Linear Phase FIR Filters with Particle Swarm Optimization and Harmony Search

205

Introduction

205

Particle Swarm Optimization

207

Harmony Search Optimization

208

Case Studies and Discussion

209

Conclusion

211

References

212

Blind Image Steganalysis Based on Local Information and Human Visual System

213

Introduction

213

Segmentation and Clustering the Segments

214

Feature Extraction

216

Classification

217

Experiment Result

217

Conclusions

219

References

219

An Effective Combination of MPP Contour-Based Features for Off-Line Text-Independent Arabic Writer Identification

221

Introduction

221

Proposed Approach

223

Feature Extraction

223

Weighted Edge Direction Probability Distribution Function $(f1)$

225

Edge Length/Direction Probability Distribution Function $(f2)$

226

Angle Probability Distribution Function $(f3)$

226

Angle Co-occurrence Probability Distribution Function $(f4)$

226

Cross-Correlation of Angle Co-occurrence Distribution $(f5)$

227

Curvature Probability Distribution Function $(f6)$

228

Experimental Results

228

Conclusion

230

References

231

Ringing Artifact Removal in Digital Restored Images Using Multi-Resolution Edge Map

233

Introduction

233

Ringing Artifacts Removal Using the DWT-Based Adaptive Edge Map

234

Wavelet Analysis for Extracting Edge Region

234

Ringing Artifacts Removal

235

Experimental Results

237

Conclusion

238

References

239

Upmixing Stereo Audio into 5.1 Channel Audio for Improving Audio Realism

240

Introduction

240

Audio Upmixing Algorithm from Stereo to 5.1 Channel Audio

241

Passive Surround Decoding Method

241

LMS-Based Upmixing Method

242

PCA-Based Upmixing Method

242

Adaptive Panning Method

243

Low-Pass Filters

244

Time Delay and ±90° Phase Shifter

244

Design and Implementation of Audio Upmixing Simulator

245

Performance Evaluation

245

Conclusion

246

References

247

Multiway Filtering Based on Multilinear Algebra Tools

248

Introduction

248

Tensor Representation and Properties

250

Tensor Filtering Problem Formulation

251

Channel-by-Channel SVD-Based Filtering

252

Tensor Filtering Based on Multimode PCA

253

Multiway Wiener Filtering

255

Simulation Results

257

Performance Criterion

258

Denoising of Color Images

258

Conclusion

259

References

260

LaMOC – A Location Aware Mobile Cooperative System

262

Introduction

262

Scenario Based Design and Development of LaMOC

263

LaMOC System

265

Architecture of LaMOC

265

Map Based Browser and LaMOC User Interface

266

Fixed Host Layer in LaMOC

267

Some Key Issues

268

Context Awareness

268

Mobile Cooperation

269

Conclusion

270

References

270

Modelling of Camera Phone Capture Channel for JPEG Colour Barcode Images

271

Introduction

271

Errors Pertinent to JPEG Images Captured on Camera Phones

272

Camera Phone Capture Channel Modelling

273

Simulation Results

275

Conclusion

276

References

278

Semantic Network Adaptation Based on QoS Pattern Recognition for Multimedia Streams

279

Introduction

279

Multimedia Network Context: RTP-Based Systems

280

Fixed RTP Header

280

Specific RTP Profiles

281

Implicit Packet Meta Header Ontology

282

IPMH Structure

283

Mapping Rules

283

Using the IPMH

284

Case Study

285

Conclusions

286

References

286

Active Shape Model-Based Gait Recognition Using Infrared Images

287

Introduction

287

Active Shape Model for Object Extraction in Infrared Images

288

Shape Variation Modeling

288

Model Fitting

288

Local Structure Modeling

289

Extraction of Gait Data

289

Experiment Results

290

Conclusion

293

References

293

About Classification Methods Based on Tensor Modelling for Hyperspectral Images

294

Introduction

294

Matrix Algebra-Based DR Method

295

HSI Representation

295

Principal Component Analysis Based DR Approach

296

Independent Component Analysis Based DR Approach

296

Projection Pursuit Based DR Approach

297

Tensor Representation and Some Properties

297

Multilinear Algebra-Based DR Method

298

Tensor Formulation of $PCA_{dr}$ and $PP_{dr}$

298

Multilinear Algebra and $PCA$-Based DR Method

300

Multilinear Algebra and $PP$-Based DR Method

301

Experimental Results

302

Experiment on Simulated Data

302

Experiment on Real-World Data

303

Conclusion

306

References

307

Comparative Analysis of Wavelet-Based Scale-Invariant Feature Extraction Using Different Wavelet Bases

309

Introduction

309

Comparison of Feature Extraction Performance Using Different Wavelet Bases

310

Feature Extraction Using the Daubechies, Haar Wavelets

310

Feature Extraction Using Gabor Wavelet

311

Experiment Results

312

Discussion

313

References

315

A Novel Video Segmentation Algorithm with Shadow Cancellation and Adaptive Threshold Techniques

316

Introduction

316

Baseline Mode

317

Shadow Cancellation Mode

319

Adaptive Threshold Mode

320

Experimental Results

321

Conclusion

323

References

323

Considerations of Image Compression Scheme Hiding a Part of Coded Data into Own Image Coded Data

324

Introduction

324

Basic Principles of the Proposed Data Hiding Scheme

325

Image Coding Methods Using the Proposed Scheme

326

Fractal Image Coding Method

326

Image Coding Using Vector Quantization

327

Inter-frame Coding Using Motion Compensation

329

Considerations

330

Conclusion

330

References

331

Binarising SIFT-Descriptors to Reduce the Curse of Dimensionality in Histogram-Based Object Recognition

332

Introduction

332

Distance between SIFT-Descriptors

332

Proposed Method

335

Experimental Validation

336

Conclusion

338

References

339

Author Index

340