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Proceedings of 2nd International Conference on Computer Vision & Image Processing : CVIP 2017. Volume 1
- Author / Creator
- Conferences
- International Conference on Computer Vision & Image Processing (2nd : 2017 : Roorkee, India)
- Available as
- Online
- Summary
-
The book provides insights into the Second International Conference on Computer Vision & Image Processing (CVIP-2017) organized by Department of Computer Science and Engineering of Indian Institute...
The book provides insights into the Second International Conference on Computer Vision & Image Processing (CVIP-2017) organized by Department of Computer Science and Engineering of Indian Institute of Technology Roorkee. The book presents technological progress and research outcomes in the area of image processing and computer vision. The topics covered in this book are image/video processing and analysis; image/video formation and display; image/video filtering, restoration, enhancement and super-resolution; image/video coding and transmission; image/video storage, retrieval and authentication; image/video quality; transform-based and multi-resolution image/video analysis; biological and perceptual models for image/video processing; machine learning in image/video analysis; probability and uncertainty handling for image/video processing; motion and tracking; segmentation and recognition; shape, structure and stereo.
Details
- Creator
- Bidyut B. Chaudhuri, Mohan S. Kankanhalli, Balasubramanian Raman, editors
- Format
- Books
- Language
- English
- Contributors
- Publication
-
- Singapore : Springer, 2018
- Physical Details
-
- 1 online resource
- text file PDF
- ISBNs
- 9789811078958, 9811078955, 9789811078941, 9789811078941
- OCLC
- on1031373871
- Includes author index.
- Intro; Preface; Committees; Contents; About the Editors; 1 Moving Target Detection Under Turbulence Degraded Visible and Infrared Image Sequences; Abstract; 1 Introduction; 2 Proposed Algorithm; 3 Performance Evaluation Metrics; 4 Results and Comparison; 5 Conclusion and Future Work; References; Effective Denoising with Non-local Means Filter for Reliable Unwrapping of Digital Holographic Interferometric Fringes; 1 Introduction; 2 Methodology; 2.1 Preprocessing; 2.2 Non-local Means Filter; 2.3 NLM with Non-Euclidian Distance; 3 Experimental Results; 4 Conclusion; References
- Iris Recognition Through Score-Level Fusion1 Introduction; 2 Preprocessing and Normalization; 3 Implementation of Used Approaches; 3.1 XOR-SUM Code; 3.2 BLPOC; 4 Score-Level Fusion; 5 Experimental Setup and Results; 6 Conclusions; References; 4 A Novel Pattern Matching Approach on the Use of Multi-variant Local Descriptor; Abstract; 1 Introduction; 2 Motivation; 3 Pattern Matching Methodology-The MVLBP Approach; 4 Evaluation; 4.1 Databases; 4.2 Experimental Results; 5 Conclusion; References; GUESS: Genetic Uses in Video Encryption with Secret Sharing; 1 Introduction; 2 Proposed Model
- 3 Experiment and Results3.1 Qualitative Analysis; 3.2 Quantitative Analysis; 3.3 Computational Complexity; 4 Conclusion; References; Learning-Based Fuzzy Fusion of Multiple Classifiers for Object-Oriented Classification of High Resolution Images; 1 Introduction; 2 Proposed Methodology; 2.1 Superpixel Generation; 2.2 Multiple Classifier Decisions; 2.3 Fuzzy Rank-Based Fusion; 3 Implementation; 3.1 Locations and Data sets; 3.2 Features; 3.3 Design Specification; 4 Results and Discussions; 5 Conclusion; References
- Image Retrieval Using Random Forest-Based Semantic Similarity Measures and SURF-Based Visual Words1 Introduction; 2 Proposed Method; 2.1 Image Representation Using SURF-Based BoVW; 2.2 Random Forest-Based Training; 2.3 Random Forest-Based Semantic Similarity Measures; 3 Complexity Analysis; 4 Experimental Results; 5 Conclusion; References; Rotation Invariant Digit Recognition Using Convolutional Neural Network; 1 Introduction; 2 Proposed Method: RIMCNN; 2.1 Training; 2.2 Testing; 2.3 Selecting Number of LeNets and Rotation Angles; 2.4 Finding Approximate Orientation of the Digit
- 3 Experiments and Results3.1 Handwritten Digit Classification; 3.2 Captcha Recognition Using RIMCNN; 4 Conclusion; References; Stochastic Assimilation Technique for Cloud Motion Analysis; 1 Introduction; 2 Cloud Motion Estimation Using WETKF; 2.1 Initialization of State Vector; 2.2 Forecasting; 2.3 Correcting; 2.4 Particle Filter Weights and Re-sampling; 3 Experimental Results; 3.1 Particle Image Velocimetry (PIV) Images; 3.2 Satellite Images; 3.3 Validation; 4 Conclusion; References