These are the proceedings of the International Conference on ISMAC-CVB, held in Palladam, India, in May 2018. The book focuses on research to design new analysis paradigms and computational solutions for quantification of information provided by object recognition, scene understanding of computer vision and different algorithms like convolutional neural networks to allow computers to recognize and detect objects in images with unprecedented accuracy and to even understand the relationships between them.

The proceedings treat the convergence of ISMAC in Computational Vision and Bioengineering technology and includes ideas and techniques like 3D sensing, human visual perception, scene understanding, human motion detection and analysis, visualization and graphical data presentation and a very wide range of sensor modalities in terms of surveillance, wearable applications, home automation etc.

ISMAC-CVB is a forum for leading academic scientists, researchers and research scholars to exchange and share their experiences and research results about all aspects of computational vision and bioengineering.

Inhalt
Chapter 1. Digital Image Watermarking using Sine Transformation Technique.- Chapter 2. A Review on Protein Structure Classification.- Chapter 3. Motion Detection Algorithm for Surveillance Videos.- Chapter 4. 6D Pose Estimation of 3D Objects in Scenes with Mutual Similarities and Occlusions .- Chapter 5. A Simple and Enhanced Low-Light Image Enhancement Process Using Effective Illumination Mapping Approach.- Chapter 6. Comparison of Particle Swarm Optimization and Weighted Artificial Bee Colony Techniques in Classification of Dementia Using MRI Images.- Chapter 7. Automatic Segmentation of Malaria Affected Erythrocyte in Thin Blood Films.- Chapter 8. Enhanced Portable Customer Experience Using Community Computation in Offline Retail.- Chapter 9. Detection and Recognition Of Vehicle Using Principal Component Analysis.- Chapter 10. Convolution Neural Networks: A Case Study on Brain Tumor Segmentation in Medical Care.- Chapter 11. Vision based algorithm for fire detection in smart buildings.- Chapter 12. Comparative performance analysis of local feature descriptors for biomedical image retrieval.- Chapter 13. Emotion Analysis Through EEG & Peripheral Physiological Signals Using KNN Classifier.- Chapter 14. Detection Of Liver Tumor Using Gradient Vector Flow Algorithm.- Chapter 15. Hyperspectral Image Classification using Semisupervised Random Forest.- Chapter 16. Clustering of various parameters to catalog human bone disorders through soft computing simulation.- Chapter 17. IoT Based Embedded Smart Lock Control using Face Recognition System.- Chapter 18. MediCloud: Cloud-based solution to patient's medical records.- Chapter 19. A Trio Approach Satisfying CIA Triad for Medical Image Security.- Chapter 20. A Novel Hybrid Method for Time Series Forecasting Using Soft Computing Approach.- Chapter 21. Medical Image Classification Using MRI: An Investigation.- Chapter 22. Tumor Detection and Analysis using Improved Fuzzy C-Means Algorithm.- Chapter 23. MediCloud: Cloud-based solution to patient's medical records.- Chapter 24. Enhancement of Optical Coherence Tomography Images: An Iterative Approach Using Various Filters.- Chapter 25. An o.- Chapter 26. the Shelf CNN Features based approach for Vehicle Classication using Acoustics.- Chapter 27. Conjunctival Vasculature liveness detection based on DCT Features.- Chapter 28. Unusual Social Event Detection by Analyzing Call Data Records.- Chapter 29. Long Short Term Memory based Recurrent Neural Network approach for intrusion detection.- Chapter 30. Drunk Driving and Drowsiness Detection Alert System.- Chapter 31. A Survey on Intelligent Face Recognition System.- Chapter 32. Real Time Health Monitoring System Implemented on a Bicycle.- Chapter 33. A Fuzzy Rule based Diagnosis of Parkinson's Disease.- Chapter 34. A Comprehensive Study of Retinal Vessel Classifica-tion Methods in Fundus Images for detection of Hyper-tensive Retinopathy and Cardiovascular diseases.- Chapter 35. Estimation of parameters to model a fabric in a way to identify defects.- Chapter 36. Hybrid Method For Copy-Move Forgery Detection In Digital Images.- Chapter 37. Error Detection Technique For A Median Filter Using Denoising Algorithm.- Chapter 38. Retinal Image Processing and Classification using Convolutional Neural Networks.- Chapter 39. Comparison of Thermography and 3D Mammography Screening and Classification Techniques for Breast Cancer.- Chapter 40. IEFA- A Fuzzy Framework for Image Enrichment.- Chapter 41. Hidden Markov Random Field and Gaussian Mixture Model based Hidden Markov Random Field for Contour Labelling of Exudates in Diabetic Retinopathy-A Comparitive Study.- Chapter 42. AUGEN: An Ocular Support for Visually Impaired Using Deep Learning.- Chapter 43. A Novel Flight Controller Interface for Vision Guided Autonomous Drone.- Chapter 44. Sliding Discrete Fourier Transform for 2D Signal Processing.- Chapter 45. Automated Lung Nodules And Ground Glass Opacity Nodules Detection And Classification From Computed Tomography Images.- Chapter 46. Detection Of Static And Dynamic Abnormal Activities In Crowded Areas Using Hybrid Clustering.- Chapter 47. Gait Recognition using Normal Distance Map and Sparse Multilinear Laplacian Discriminant Analysis.- Chapter 48. A Review Edge Detection Techniques in Dental Images.- Chapter 49. Detection of Exudates and Removal of Optic Disc in Fundus Images Using Genetic Algorithm.- Chapter 50. Analysis of Feature Ranking Methods on X-ray Images.- Chapter 51. Salient Object Detection for Synthetic Dataset.- Chapter 52. Atherosclerotic Plaque Detection Using Intra-Vascular Ultrasound (IVUS) Images..- Chapter 53. Correlative Feature Selection for Multimodal Medical Image Fusion through QWT.- Chapter 54. A Two Stage Validation Approach for Early Detection of Proliferative Diabetic Retinopathy in Neovascularization at the Disc by Observing Retinal Vascular Structure.- Chapter 55. Finding Center of Optic Disc from Fundus Images forImage Characterization and Analysis.- Chapter 56. A Robust Method for Image Copy Move Passive Forgery Detection with Enhanced Speed.- Chapter 57. Detection of Objects and Evaluation with The IO Link Using Miniature Laser Sensor -A Review.- Chapter 58. Development of Medical Image Segmentation Algorithms using Deformable Models.- Chapter 59. Feature Extraction and Classification of Epileptic EEG signals using Wavelet transforms and Artificial Neural Networks.- Chapter 60. 3D Printed Surgical Guides in Orthoganthic Surgery- A Pathway to Positive Surgical Outcomes.- Chapter 61. Image-Based Method for Analysis of Root Canal Geometry.- Chapter 62. Analysis of Explicit Parallelism of Image Pre-Processing Algorithms A Case Study .- Chapter 63. A Comprehensive Study on Character Segmentation.- Chapter 64. Framework For Image Forgery Detection And Classification Using Machine Learning.- Chapter 65. EZW, SPIHT and WDR Methods for CT Scan and X-Ray Images Compression Applications.- Chapter66. Human Identification based on Ear Image Contour and it's Properties.- Chapter 67. Defocus Map Based Segmentation of Automotive Vehicles.- Chapter 68. Multi-Insight Monocular Vision System using a Refractive Projection Model.- Chapter 69. Comparative Study and Analysis of Pulse Rate Measurement by Vowel Speech and EVM.- Chapter 70. ONESTOP:A Tool for Performing Generic Operations With Visual Support.- Chapter 71. Performance evaluation of DCT, DWT and SPIHT techniques for Medical Image Compression.- Chapter 72. Structural Health Monitoring An Integrated Approach for Vibration Analysis with Wireless Sensors to Steel Structure using Image Processing.- Chapter 73. An Improved image pre-processing method for concrete crack detection.- Chapter 74. Grape crop disease classification using transfer learning approach.- Chapter 75. Exploring Image Classification of Thyroid Ultrasound Images …