Computer Vision and Image Processing

<p>An Approach for Fraction of Vegetation Cover Estimation in Forest Above-Ground Biomass Assessment Using Sentinel-2 Images.-&nbsp;Dynamic Multimodal Biometric System.-&nbsp;Copy-Move Image Forgery Detection using Spatio-structured SIFT Algorithm.-&nbsp;F-UNet: A Modified U-Net Architecture For Segmentation Of Stroke Lesion.-&nbsp;Radial Cumulative Frequency Distribution: A New Imaging Signature to Detect&nbsp;Chromosomal Arms 1p/19q Co-deletion Status in Glioma.-&nbsp;CT Scan Transformation from a Sharp to a Soft Reconstruction Kernel using Filtering Techniques.-&nbsp;Development of an Automated Monitoring and Warning System for Landslide Prone Sites.-&nbsp;Deep neural network for Pneumonia detection using Chest X-rays.- Handwriting Recognition on Filled-in Forms Using CNN.-&nbsp;A Two Side Histogram Shifting Based Reversible Data Hiding Technique In Encrypted Images.-&nbsp;Security of Digital Images Based on Stream Cipher and MDS Matrix.-&nbsp;Retinal Vessel Segmentation using JointRelative Entropy Thresholding on Bowler Hat Transform.-&nbsp;Semantic segmentation of nuclei from breast histopathological images by incorporating attention in U-Net.-&nbsp;Automated diagnosis of COVID-19 from CT scans based on concatenation of Mobilenetv2 and ResNet50 features.-&nbsp;An Ensemble Method for Efficient Classification of Skin Lesion from Dermoscopy Image.-&nbsp;A Two-Phase Splitting Approach for the Removal of Gaussian-Impulse Noise from Hyperspectral Images.-&nbsp;Enhancement of Deep Learning in Image Classification Performance Using VGG16 with Swish Activation Function for Breast Cancer Detection.-&nbsp;Multi-stream CNN For Face Anti-Spoofing Using Color Space Analysis.-&nbsp;Multi-focus fusion using image matting and geometric mean of DCT-Variance.-&nbsp;Deep learning based lens for mitigating hospital acquired infections.-&nbsp;Edge detection on medical images using intuitionistic fuzzy logic.-&nbsp;Border to border distance based method for detecting Juxta-pleural nodules.-&nbsp;Appearance-invariant Entry-Exit matching using visual soft biometric traits.-&nbsp;A Nonlocal Spatial Coherent Fuzzy C-means Clustering for Bias Field Correction in Brain MR Images.-&nbsp;Securing Biometric Data over Cloud via Shamir’s Secret Sharing.-&nbsp;DarkGAN: Night Image Enhancement using Generative Adversarial Networks.-&nbsp;Cancelable Biometric Template Generation using Convolutional Autoencoder.-&nbsp;A Novel method for Cephalometric Landmark Regression using Convolutional Neural Networks and Local Binary Pattern.- Multi-Class Glioma Classification From MRI Images Using 3D Convolutional Neural Networks.-&nbsp;Accounting for Demographic Differentials in Forensic Error Rate Assessment of Latent Prints via Covariate-Specific ROC Regression.-&nbsp;A Semi-supervised Generative Adversarial Network for Retinal Analysis from Fundus images.-&nbsp;A Graph Spectral Approach for Restoring Images Corrupted by Shot-noise.-&nbsp;ECASR: Efficient Channel Attention based Super-Resolution.-&nbsp;Transfer Learning Based COVID-19 Patient Classification.-&nbsp;Automated Scoring of Metaphase Cell Images and Identification of Dicentric Chromosomes.-&nbsp;Clustering of writers and cluster dependent classifier selection for offline signature verification.-&nbsp;Evaluation of Auto-encoder Network with Photoacoustic Signal for Unsupervised Classification of Prostate Cancer.-&nbsp;An efficient approach for Skin Lesion Segmentation using Dermoscopic Images: A Deep Learning Approach.-&nbsp;SigVer – A Deep Learning based Writer Independent Bangla Signature Verification System.-&nbsp;Colorectal Cancer Segmentation using Atrous Convolution and Residual Enhanced UNet.-&nbsp;Deep Learning Based Detection of Rhinoceros Beetle Infestation in Coconut Trees using Drone Imagery.- Crop Classification From UAV-Based Multi-Spectral Images Using Deep Learning.-&nbsp;A novel Face Print Spoof Detection using color scatter measures in HSI space.-&nbsp;FingerPIN: An Authentication Mechanism Integrating Fingerprints and Personal Identification Numbers.</p>