Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

1868 Pages·2019·80.975 MB·English

by  Durai Pandian, Xavier Fernando, Zubair Baig, Fuqian Shi

Lecture Notes in Computational Vision and Biomechanics 30
Durai Pandian
Xavier Fernando
Zubair Baig
Editors
Fuqian Shi   
Proceedings of the
International Conference
on ISMAC in Computational
Vision and Bio-Engineering
2018 (ISMAC-CVB)
Lecture Notes in Computational Vision
and Biomechanics
Volume 30
Series editors
João Manuel R. S. Tavares, Porto, Portugal
Renato Natal Jorge, Porto, Portugal
Editorial Advisory Board
Alejandro Frangi, Sheffield, UK
Chandrajit Bajaj, Austin, USA
Eugenio Oñate, Barcelona, Spain
Francisco Perales, Palma de Mallorca, Spain
Gerhard A. Holzapfel, Graz University of Technology, Austria
J. Paulo Vilas-Boas, Porto, Portugal
Jeffrey A. Weiss, Salt Lake City, USA
John Middleton, Cardiff, UK
Jose M. García Aznar, Zaragoza, Spain
Perumal Nithiarasu, Swansea, UK
Kumar K. Tamma, Minneapolis, USA
Laurent Cohen, Paris, France
Manuel Doblaré, Zaragoza, Spain
Patrick J. Prendergast, Dublin, Ireland
Rainald Löhner, Fairfax, USA
Roger Kamm, Cambridge, USA
Shuo Li, London, Canada
Thomas J. R. Hughes, Austin, USA
Yongjie Zhang, Pittsburgh, USA
Theresearchrelatedtotheanalysisoflivingstructures(Biomechanics)hasbeenasourceof
recent research in several distinct areas of science, for example, Mathematics, Mechanical
Engineering, Physics, Informatics, Medicine and Sport. However, for its successful
achievement, numerous research topics should be considered, such as image processing
and analysis, geometric and numerical modelling, biomechanics, experimental analysis,
mechanobiology and enhanced visualization, and their application to real cases must be
developedandmoreinvestigationisneeded.Additionally,enhancedhardwaresolutionsand
less invasivedevices aredemanded.
Ontheotherhand,Image Analysis (ComputationalVision) isusedforthe extractionof
high level information from static images or dynamic image sequences. Examples of
applications involving image analysis can be the study of motion of structures from image
sequences,shapereconstructionfromimages,andmedicaldiagnosis.Asamultidisciplinary
area,ComputationalVisionconsiderstechniquesandmethodsfromotherdisciplines,suchas
ArtificialIntelligence,SignalProcessing,Mathematics,PhysicsandInformatics.Despitethe
many research projects in this area, more robust and efficient methods of Computational
ImagingarestilldemandedinmanyapplicationdomainsinMedicine,andtheirvalidationin
real scenarios is matterof urgency.
ThesetwoimportantandpredominantbranchesofScienceareincreasinglyconsideredtobe
stronglyconnectedandrelated.Hence,themaingoaloftheLNCV&Bbookseriesconsists
oftheprovisionofacomprehensiveforumfordiscussiononthecurrentstate-of-the-artinthese
fieldsbyemphasizingtheirconnection.Thebookseriescovers(butisnotlimitedto):
(cid:129) (cid:129)
ApplicationsofComputationalVisionand GridandHighPerformanceComputingfor
Biomechanics ComputationalVisionandBiomechanics
(cid:129) (cid:129)
BiometricsandBiomedicalPatternAnalysis Image-basedGeometricModelingandMesh
(cid:129) CellularImagingandCellularMechanics Generation
(cid:129) ClinicalBiomechanics (cid:129) ImageProcessingandAnalysis
(cid:129) ComputationalBioimagingandVisualization (cid:129) ImageProcessingandVisualizationin
(cid:129) Biofluids
ComputationalBiologyinBiomedicalImaging
(cid:129)
(cid:129) ImageUnderstanding
DevelopmentofBiomechanicalDevices
(cid:129)
(cid:129) MaterialModels
DeviceandTechniqueDevelopmentfor
(cid:129)
BiomedicalImaging Mechanobiology
(cid:129) DigitalGeometryAlgorithmsforComputa- (cid:129) MedicalImageAnalysis
(cid:129)
tionalVisionandVisualization MolecularMechanics
(cid:129) (cid:129)
ExperimentalBiomechanics Multi-ModalImageSystems
(cid:129) (cid:129)
Gait&PostureMechanics MultiscaleBiosensorsinBiomedicalImaging
(cid:129) (cid:129)
MultiscaleAnalysisinBiomechanics MultiscaleDevicesandBiomems
(cid:129) NeuromuscularBiomechanics forBiomedicalImaging
(cid:129) NumericalMethodsforLivingTissues (cid:129) MusculoskeletalBiomechanics
(cid:129) NumericalSimulation (cid:129) SportBiomechanics
(cid:129) Software Development on Computational (cid:129) VirtualRealityinBiomechanics
(cid:129)
VisionandBiomechanics VisionSystems
More information about this series at http://www.springer.com/series/8910
Durai Pandian Xavier Fernando
(cid:129)
Zubair Baig Fuqian Shi
(cid:129)
Editors
Proceedings of the
International Conference
on ISMAC in Computational
Vision and Bio-Engineering
2018 (ISMAC-CVB)
123
Editors
DuraiPandian ZubairBaig
SCAD Institute of Technology Schoolof Computer andSecurity
Palladam, India Science
Edith CowanUniversity
Xavier Fernando Joondalup, WA,Australia
Department ofElectrical
andComputer Engineering FuqianShi
Ryerson University Wenzhou Medical University
Toronto, ON,Canada Wenzhou,China
ISSN 2212-9391 ISSN 2212-9413 (electronic)
Lecture Notesin Computational Vision andBiomechanics
ISBN978-3-030-00664-8 ISBN978-3-030-00665-5 (eBook)
https://doi.org/10.1007/978-3-030-00665-5
LibraryofCongressControlNumber:2018954619
©SpringerNatureSwitzerlandAG2019
Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpart
of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations,
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The use of general descriptive names, registered names, trademarks, service marks, etc. in this
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The publisher, the authors and the editors are safe to assume that the advice and information in this
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Contents
Digital Image Watermarking Using Sine Transform Technique. . . . . . 1
S. N. Prajwalasimha, S. Sonashree, C. J. Ashoka and P. Ashwini
Logarithmic Transform based Digital Watermarking Scheme . . . . . . . 9
S. N. Prajwalasimha, A. N. Sowmyashree, B. Suraksha
and H. P. Shashikumar
A Survey of Medical Imaging, Storage and Transfer Techniques . . . . 17
R. R. Meenatchi Aparna and P. Shanmugavadivu
Majority Voting Algorithm for Diagnosing of Imbalanced
Malaria Disease . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
T. Sajana and M. R. Narasingarao
Automatic Detection of Malaria Parasites Using Unsupervised
Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Itishree Mohanty, P. A. Pattanaik and Tripti Swarnkar
Study on Different Region-Based Object Detection Models Applied
to Live Video Stream and Images Using Deep Learning . . . . . . . . . . . 51
Jyothi Shetty and Pawan S. Jogi
Digital Video Copy Detection Using Steganography Frame Based
Fusion Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
P. Karthika and P. Vidhyasaraswathi
Color Image Encryption: A New Public Key Cryptosystem Based
on Polynomial Equation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69
P. K. Kavitha and P. Vidhya Saraswathi
Thermal Imaging of Abdomen in Evaluation of Obesity:
A Comparison with Body Composition Analyzer––A
Preliminary Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79
S. Sangamithirai, U. Snekhalatha, R. Sanjeena and Lipika Sai Usha Alla
v
vi Contents
A Review on Protein Structure Classification. . . . . . . . . . . . . . . . . . . . 89
N. Sajithra, D. Ramyachitra and P. Manikandan
Emotion Analysis Through EEG and Peripheral Physiological
Signals Using KNN Classifier. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97
Shourya Shukla and Rahul Kumar Chaurasiya
Enhancement of Optical Coherence Tomography Images:
An Iterative Approach Using Various Filters. . . . . . . . . . . . . . . . . . . . 107
M. Saya Nandini Devi and S. Santhi
Hybrid Method for Copy-Move Forgery Detection
in Digital Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119
I. J. Sreelakshmy and Binsu C. Kovoor
Gait Recognition Using Normal Distance Map and Sparse
Multilinear Laplacian Discriminant Analysis . . . . . . . . . . . . . . . . . . . . 129
Risil Chhatrala, Shailaja Patil and Dattatray V. Jadhav
Comparative Study and Analysis of Pulse Rate Measurement
by Vowel Speech and EVM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137
Ria Paul, Rahul Shandilya and R. K. Sharma
Real-Time Input Text Recognition System for the Aid of Visually
Impaired . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147
B.K.RajithKumar,H.S.Mohana,DivyaA.Jamakhandi,K.V.Akshatha,
Disha B. Hegde and Amisha Singh
Compromising Cloud Security and Privacy by DoS, DDoS,
and Botnet and Their Countermeasures. . . . . . . . . . . . . . . . . . . . . . . . 159
Martin K. Parmar and Mrugendrasinh L. Rahevar
A New Automated Medicine Prescription System
for Plant Diseases. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171
S. Sachin, K. Sudarshana, R. Roopalakshmi, Suraksha, C. N. Nayana
and D. S. Deeksha
A Comparative Assessment of Segmentations on Skin Lesion
Through Various Entropy and Six Sigma Thresholds . . . . . . . . . . . . . 179
Srinivasan Sankaran, Jason R. Hagerty, Muthukumaran Malarvel,
Gopalakrishnan Sethumadhavan and William V. Stoecker
Impact of Speckle Filtering on the Decomposition and Classification
of Fully Polarimetric RADARSAT-2 Data . . . . . . . . . . . . . . . . . . . . . . 189
Sivasubramanyam Medasani and G. Umamaheswara Reddy
Estimation of Precipitation from the Doppler Weather
Radar Images. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203
P. Anil Kumar and B. Anuradha
Contents vii
Text-Independent Handwriting Classification Using Line
and Texture-Based Features. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211
T. Shreekanth, M. B. Punith Kumar and Akshay Krishnan
A Unified Preprocessing Technique for Enhancement
of Degraded Document Images. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221
N. Shobha Rani, A. Sajan Jain and H. R. Kiran
An Efficient Classifier for P300 in Brain–Computer Interface
Based on Scalar Products. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235
Monica Fira and Liviu Goras
Detection of Weed Using Visual Attention Model
and SVM Classifier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243
Manda Aparna and D. Radha
Design and Development of Scalable IoT Framework
for Healthcare Application. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255
Siddhant Mukherjee, Kalyani Bhole and Dayaram Sonawane
Template-Based Video Search Engine . . . . . . . . . . . . . . . . . . . . . . . . . 265
Sheena Gupta and R. K. Kulkarni
Gray-Level Feature Based Approach for Correspondence
Matching and Elimination of False Matches . . . . . . . . . . . . . . . . . . . . 275
R. Akshaya and Hema P. Menon
A New Approach for Image Compression Using Efficient Coding
Technique and BPN for Medical Images . . . . . . . . . . . . . . . . . . . . . . . 283
M. Rajasekhar Reddy, M. Akkshya Deepika, D. Anusha, J. Iswariya
and K. S. Ravichandran
Person Identification Using Iris Recognition: CVPR_IRIS
Database. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291
Usha R. Kamble and L. M. Waghmare
Fusion-Based Segmentation Technique for Improving the Diagnosis
of MRI Brain Tumor in CAD Applications . . . . . . . . . . . . . . . . . . . . . 299
Bharathi Deepa, Manimegalai Govindan Sumithra, Venkatesan Chandran
and Varadan Gnanaprakash
Identification of Cyst Present in Ultrasound PCOS Using
Discrete Wavelet Transform. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309
R. Vinodhini and R. Suganya
Design and Development of Image Retrieval in Documents
Using Journal Logo Matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319
S. Balan and P. Ponmuthuramalingam
viii Contents
Feature Enhancement of Multispectral Images Using Vegetation,
Water, and Soil Indices Image Fusion . . . . . . . . . . . . . . . . . . . . . . . . . 329
M. HemaLatha and S. Varadarajan
Detection of Heart Abnormalities and High-Level Cholesterol
Through Iris. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339
P. A. Reshma, K. V. Divya and T. B. Subair
Wavelet-Based Convolutional Recurrent Neural Network
for the Automatic Detection of Absence Seizure. . . . . . . . . . . . . . . . . . 347
Kamal Basha Niha and Wahab Aisha Banu
New Random Noise Denoising Method for Biomedical Image
Processing Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355
G. Sasibhushana Rao, G. Vimala Kumari and B. Prabhakara Rao
Importance of LEDs Placing and Uniformity: Phototherapy
Treatment Used for Neonatal Hyperbilirubinemia . . . . . . . . . . . . . . . . 367
J. Lokesh, K. Shashank and Savitha G. Kini
Automated Glaucoma Detection Using Global Statistical
Parameters of Retina Fundus Images. . . . . . . . . . . . . . . . . . . . . . . . . . 377
Prathiksha R. Puthren, Ayush Agrawal and Usha Padma
Enhanced Techniques to Secure Medical Image
and Data Transit . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389
S. Uma Maheswari and C. Vasanthanayaki
A Spectral Approach for Segmentation and Deformation
Estimation in Point Cloud Using Shape Descriptors. . . . . . . . . . . . . . . 409
Jajula Kalyani, Karthikeyan Vaiapury and Latha Parameswaran
A Study on Firefly Algorithm for Breast Cancer Classification . . . . . . 421
Harikumar Rajaguru and Sunil Kumar Prabhakar
Fuzzy C-Means Clustering and Gaussian Mixture Model
for Epilepsy Classification from EEG. . . . . . . . . . . . . . . . . . . . . . . . . . 429
Harikumar Rajaguru and Sunil Kumar Prabhakar
Analysis on Detection of Chronic Alcoholics from EEG
Signal Segments—A Comparative Study Between
Two Software Tools . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 437
Harikumar Rajaguru, Vigneshkumar Arunachalam
and Sunil Kumar Prabhakar
A System for Plant Disease Classification and Severity
Estimation Using Machine Learning Techniques . . . . . . . . . . . . . . . . . 447
Anakha Krishnakumar and Athi Narayanan
Contents ix
A Clinical Data Analytic Metric for Medical Ontology
Using Semantic Similarity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 459
Suraiya Parveen and Ranjit Biswas
True Color Image Compression and Decompression Using Fusion
of Three-Level Discrete Wavelet Transform—Discrete Cosine
Transforms and Arithmetic Coding Technique . . . . . . . . . . . . . . . . . . 469
Trupti Baraskar and Vijay R. Mankar
Application of Neural Networks in Image Processing. . . . . . . . . . . . . . 483
Ishan Raina, Chirag Chandnani and Mani Roja Edinburgh
Region of Interest (ROI) Based Image Encryption with Sine
Map and Lorenz System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 493
Veeramalai Sankaradass, P. Murali and M. Tholkapiyan
Chaos-Based Color Image Encryption with DNA Operations . . . . . . . 503
P. Murali, Veeramalai Sankaradass and M. Tholkapiyan
A Lucrative Sensor for Counting in the Limousine . . . . . . . . . . . . . . . 515
R. Ajith Krishna, A. Ashwin and S. Malathi
Energy Expenditure Calculation with Physical Activity
Recognition Using Genetic Algorithms. . . . . . . . . . . . . . . . . . . . . . . . . 525
Y. Anand and P. P. Joby
Improved Intrinsic Image Decomposition Technique for Image
Contrast Enhancement Using Back Propagation Algorithm. . . . . . . . . 531
Harneet Kour and Harpreet Kaur
Low-Power High-Speed Hybrid Multiplier Architectures
for Image Processing Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . 539
U. Saravanakumar, P. Suresh and V. Karthikeyan
Intervertebral Disc Classification Using Deep Learning
Technique. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 551
J. V. Shinde, Y. V. Joshi and R. R. Manthalkar
Thermal Image Segmentation of Facial Thermograms
Using K-Means Algorithm in Evaluation of Orofacial Pain . . . . . . . . . 565
Nida Mir, U. Snekhalatha, Mehvish Khan and Yeshi Choden
Analysis of Web Workload on QoS to Assist Capacity . . . . . . . . . . . . 573
K. Abirami, N. Harini, P. S. Vaidhyesh and Priyanka Kumar
Content-Based Image Retrieval Using Hybrid Feature Extraction
Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 583
B. Akshaya, S. Sruthi Sri, A. Niranjana Sathish, K. Shobika, R. Karthika
and Latha Parameswaran