Projects

Analysis of Various Image Segmentation Techniques on Retinal OCT Images
Classification of Skin Cancer Segmentation using Hybrid Partial Differential Equation with Fuzzy Clustering based on Machine Learning Techniques
Edge Detection and Color Mapping Based Diabetic Retinopathy From Fundus Images
Moving Object Detection using Background Subtraction
SAR Image Segmentation and Target Detection Based on Mathematical Morphology
Detection of Blood Cells in Human Blood Samples Using Microscopic Images
An X-ray Image Enhancement Algorithm for Dangerous Goods in Airport Security Inspection
Bone Cancer Detection using Artificial Neural Network
Crop Yield Prediction Using Random Forest
Human Age and Gender Estimation using Convolutional Neural Network and Image Processing
Early Detection of ILD using Fusion Techniques
Deep Convolutional Neural Network for Spider Vein Detection
Image Processing Based Leukemia Cancer Cell Detection
Automatic Detection of Coronavirus Disease (Covid-19) in X-Ray and CT Images: A Machine Learning Based Approach
Detection of Mulberry Ripeness Stages Using Deep Learning Models
Image Classification of Rice Leaf Diseases Using Random Forest Algorithm
Road Surface Classification Based on Radar Imaging Using Convolutional Neural Network
PSNR Comparison of Lung Images Over Histogram Equalization & Several Techniques
Malaria Detection Using Image Processing & Machine Learning
Automated Food image Classification using Deep Learning approach