Proc. 4 inter. conf. Computer Vision and Image Processing, CVIP 2019, Part 1

440 Pages·2020·7.021 MB·English

by  Nain N (ed.)

Neeta Nain
Santosh Kumar Vipparthi
Balasubramanian Raman (Eds.)
Communications in Computer and Information Science 1147
Computer Vision and
Image Processing
4th International Conference, CVIP 2019
Jaipur, India, September 27–29, 2019
Revised Selected Papers, Part I
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Neeta Nain Santosh Kumar Vipparthi
(cid:129) (cid:129)
Balasubramanian Raman (Eds.)
Computer Vision and
Image Processing
4th International Conference, CVIP 2019
–
Jaipur, India, September 27 29, 2019
Revised Selected Papers, Part I
123
Editors
Neeta Nain SantoshKumar Vipparthi
Malaviya National Institute of Technology Malaviya National Institute of Technology
Jaipur,Rajasthan, India Jaipur,Rajasthan, India
Balasubramanian Raman
Indian Institute of Technology Roorkee
Roorkee,Uttarakhand, India
ISSN 1865-0929 ISSN 1865-0937 (electronic)
Communications in Computer andInformation Science
ISBN 978-981-15-4014-1 ISBN978-981-15-4015-8 (eBook)
https://doi.org/10.1007/978-981-15-4015-8
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Preface
This volume contains the papers from the 4th International Conference on Computer
Vision and Image Processing (CVIP 2019). The event was endorsed by the Interna-
tionalAssociationforPatternRecognition(IAPR)andorganizedbyMalaviyaNational
Institute of Technology, Jaipur, during September 27–29, 2019.
CVIP is a premier conference focused on image, video processing, and computer
vision. The conference featured world-renowned speakers, technical workshops, and
demonstrations.
CVIP 2019 acted as a major forum for presentation of technological progress and
research outcomes in the area of image processing and computer vision, serving as a
platformforexchangebetweenacademiaandindustry.Theselectedpaperscomefrom
around 202 original submissions by researchers based in several countries including
SouthKorea,Norway,Malaysia,Iceland,Ethiopia,Canada,Bangladesh,India,andthe
USA. The highly diversified audiencegave ustheopportunity toachievea good level
of understanding of the mutual needs, requirements, and technical means available in
this field of research.
The topics included in this edition of CVIP the following fields connected to
computer vision and image processing: data acquisition and modeling, visualization
and audio methods, sensors and actuators, data mining, image enhancement and
restoration, segmentation, object detection and tracking, video analysis and summa-
rization, biometrics and forensics, deep learning, document image analysis, remote
sensing, multi-spectral and hyper-spectral image processing, etc. All the accepted
papers were double-blind peer reviewed by three qualified reviewers chosen from our
Technical Committee based on their qualifications, areas of interest, and experience.
ThepaperswereevaluatedontheirrelevancetoCVIP2019tracksandtopics,scientific
correctness, and clarity of presentation. Selection was based on these reviews and on
further recommendations by the Program Committee.
The editors of the current proceedings are very grateful and wish to thank the
dedicatedTechnicalCommitteemembersandalltheotherreviewersfortheirvaluable
contributions, commitment, and enthusiastic support. We also thank CCIS at Springer
for their trust and for publishing the proceedings of CVIP 2019.
September 2019 Neeta Nain
Santosh Kumar Vipparthi
Balasubramanian Raman
Organization
Organizing Committee
Neeta Nain MNIT Jaipur, India
Santosh Kumar Vipparthi MNIT Jaipur, India
Partha Pratim Roy IIT Roorkee, India
Ananda Shankar Jadavpur University, India
Chowdhary
Program Committee
Balasubramanian Raman IIT Roorkee, India
Sanjeev Kumar IIT Roorkee, India
Arnav Bhaskar IIT Mandi, India
Subramanyam Murala IIT Ropar, India
Abhinav Dhall IIT Ropar, India
International Advisory Committee
Uday Kumar R. Yaragatti MNIT Jaipur, India
Anil K. Jain Michigan State University, USA
Bidyut Baran Chaudhari ISI Kolkata, India
Mohamed Abdel Mottaleb University of Miami, USA
Mohan S. Kankanhalli NUS, Singapore
Ajay Kumar Hong Kong Poly University, Hong Kong
Ales Prochazka Czech Technical University, Czech Republic
Andrea Kutics ICU, Japan
Daniel P. Lopresti Lehigh University, USA
Gian Luca Foresti University of Udine, Italy
Jonathan Wu University of Windsor, Canada
Josep Llados University of Barcelona, Spain
Kokou Yetongnon University of Burgundy, France
Koichi Kise Osaka Prefecture University, Japan
Luigi Gallo National Research Council, Italy
Slobodan Ribaric University of Zagreb, Croatia
Umapada Pal ISI Kolkata, India
Xiaoyi Jiang University of Münster, Germany
viii Organization
Local Committee
Emmanuel S. Pilli MNIT Jaipur, India
Dinesh Kumar Tyagi MNIT Jaipur, India
Vijay Laxmi MNIT Jaipur, India
Arka Prakash Mazumdar MNIT Jaipur, India
Mushtaq Ahmed MNIT Jaipur, India
Yogesh Kumar Meena MNIT Jaipur, India
Satyendra Singh Chouhan MNIT Jaipur, India
Mahipal Jadeja MNIT Jaipur, India
Madhu Agarwal MNIT Jaipur, India
Kuldeep Kumar MNIT Jaipur, India
Prakash Choudhary NIT Hamirpur, India
Maroti Deshmukh NIT Uttarakhand, India
Subhash Panwar GEC Bikaner, India
Tapas Badal Bennett University, India
Sonu Lamba MNIT Jaipur, India
Riti Kushwaha MNIT Jaipur, India
Praveen Kumar Chandaliya MNIT Jaipur, India
Rahul Palliwal MNIT Jaipur, India
Kapil Mangal MNIT Jaipur, India
Ravindra Kumar Soni MNIT Jaipur, India
Gopal Behera MNIT Jaipur, India
Sushil Kumar MNIT Jaipur, India
Sponsors
Contents – Part I
Biometrics
Towards Ocular Recognition Through Local Image Descriptors . . . . . . . . . . 3
Ritesh Vyas, Tirupathiraju Kanumuri, Gyanendra Sheoran,
and Pawan Dubey
Computer Forensic
A Fast and Rigid Copy Move Forgery Detection Technique
Using HDBSCAN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Shraddha Wankhade, Anuja Dixit, and Soumen Bag
Computer Vision
Automated Industrial Quality Control of Pipe Stacks
Using Computer Vision. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
Sayantan Chatterjee, Bidyut B. Chaudhuri, and Gora C. Nandi
Asymmetric Wide Tele Camera Fusion for High Fidelity Digital Zoom. . . . . 39
Sai Kumar Reddy Manne, B. H. Pawan Prasad, and K. S. Green Rosh
Energy Based Convex Set Hyperspectral Endmember
Extraction Algorithm. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Dharambhai Shah and Tanish Zaveri
Fast Semantic Feature Extraction Using Superpixels
for Soft Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
Shashikant Verma, Rajendra Nagar, and Shanmuganathan Raman
Spatially Variant Laplacian Pyramids for Multi-frame Exposure Fusion. . . . . 73
Anmol Biswas, K. S. Green Rosh, and Sachin Deepak Lomte
Traffic Sign Recognition Using Color and Spatial Transformer Network
on GPU Embedded Development Board . . . . . . . . . . . . . . . . . . . . . . . . . . 82
Bhaumik Vaidya and Chirag Paunwala
Unsupervised Single-View Depth Estimation for Real Time Inference. . . . . . 94
MohammedArshadSiddiqui,ArpitJain,NehaGour,andPriteeKhanna
x Contents – Part I
Dimension Reduction
A Novel Information Theoretic Cost Measure for Filtering Based
Feature Selection from Hyperspectral Images . . . . . . . . . . . . . . . . . . . . . . . 109
Vikas Kookna, Ankit Kumar Singh, Agastya Raj, and Biplab Banerjee
Healthcare Information Systems
CNN and RF Based Classification of Brain Tumors
in MR Neurological Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123
Vishlavath Saraswathi, Ankush D. Jamthikar, and Deep Gupta
Tensor Based Dictionary Learning for Compressive Sensing
MRI Reconstruction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134
Minha Mubarak, Thomas James Thomas, J. Sheeba Rani,
and Deepak Mishra
Nonparametric Vibration Based Damage Detection Technique for
Structural Health Monitoring Using 1D CNN. . . . . . . . . . . . . . . . . . . . . . . 146
Yash Sarawgi, Shivam Somani, Ayushmaan Chhabra, and Dhiraj
Neural Network and SVM Based Kidney Stone Based Medical
Image Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158
Priyanka Chak, Payal Navadiya, Bhavya Parikh, and Ketki C. Pathak
Automatic Report Generation for Chest X-Ray Images:
A Multilevel Multi-attention Approach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 174
Gaurav O. Gajbhiye, Abhijeet V. Nandedkar, and Ibrahima Faye
Image Processing
Medical Image Denoising Using Spline Based Fuzzy Wavelet
Shrink Technique . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185
Pranaba K. Mishro, Sanjay Agrawal, and Rutuparna Panda
MBC-CA: Multithreshold Binary Conversion Based Salt-and-Pepper
Noise Removal Using Cellular Automata. . . . . . . . . . . . . . . . . . . . . . . . . . 195
Parveen Kumar, Mohd Haroon Ansari, and Ambalika Sharma
Image to CAD: Feature Extraction and Translation of Raster Image
of CAD Drawing to DXF CAD Format. . . . . . . . . . . . . . . . . . . . . . . . . . . 205
Aditya Intwala
Non-uniform Deblurring from Blurry/Noisy Image Pairs . . . . . . . . . . . . . . . 216
P. L. Deepa and C. V. Jiji