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Papers tagged with "Image"
DEHAZING DESMOKING SYSTEM USING AL/ML
This Project Focuses On Developing An AI/ML-based System For Removing Haze And Smoke From Images, Enhancing Visibility In Adverse Environmental Conditions. Using Deep Learning Techniques, Particularly Convolutional Neural Networks (CNNs) An...
Early-Stage Oral Cancer Identification Using White Light Imaging And LightGBM Algorithm
Oral Cancer Is A Significant Public Health Concern Globally, With Early Detection Playing A Crucial Role In Improving Patient Outcomes. In This Project, We Propose A Novel Approach For Oral Cancer Detection Leveraging Deep Learning Techniqu...
Pothole Detection Techniques Using Deep Learning And YOLO
Pothole Detection Is An Essential Task In Road Maintenance And Transportation Safety, As Damaged Roads Contribute Significantly To Vehicle Damage, Accidents, And Economic Loss. Traditional Pothole Detection Methods, Such As Manual Inspectio...
CBIR: Enhancing Image Retrieval Through AutoEncoders And Metric-Based Search
The Exponential Growth Of Visual Data Demands Robust Content-Based Image Retrieval (CBIR) Systems That Ac- Curately And Efficiently Retrieve Relevant Images. In This Paper, We Present A Novel CBIR Framework That Integrates AutoEncoders For...
Design And Development Of A Feature-Extraction-Based Content-Based Image Retrieval System
Content-based Picture Retrieval From Vast Resources Has Recently Gained Popularity In A Variety Of Issues. This Thesis Introduces The Contend-based Image Retrieval System, Which Combines Colour, Shape, And Texture As Visual Cues To Characte...
Brain Tumor Segmentation Using Deep Learning
A Mass Of Tissue That Grows Out Of Control Is Called A Tumor. We Can Make Use Of The Profound Learning Designs CNN (Convolution Brain Organization), NN (Brain Organization), And KFOLDS To Locate A Mind Expansion. K FOLDS Underwriting Uphold...
SILKWORM INCUBATION USING IOT
Silkworm Rearing Plays A Vital Role In The Sericulture Industry, Requiring Precise Environmental Conditions For Optimal Incubation And Growth. Traditional Methods Often Rely Onmanual Monitoring, Which Can Be Labor-intensive And Prone To Err...
Kidney Stone Detection From Ultrasound Images Using Canny Edge Detection And CNN Classification
Kidney Stone Detection Is A Critical Task In Diagnosing And Managing Urological Disorders. This Project Focuses On Developing A Robust System For Kidney Stone Detection Using Ultrasound Images. The Methodology Integrates Canny Edge Detectio...
Brain Tumor Detection And Classification With An Android App
Brain Tumor Detection Is A Critical Task In Medical Diagnostics, Requiring Accurate And Efficient Models To Classify Tumor Presence In MRI Scans. This Project Employs A Convolutional Neural Network (CNN) To Identify Tumors In Medical Images...
Enhancing Electrical Audits through AI-Powered Motor Nameplate Analysis
This Project Presents A Deep Learning-powered System For Automating The Extraction And Analysis Of Electrical Motor Nameplate Parameters, Addressing Inefficiencies In Traditional Manual Methods Used In Electrical Audits. Users Upload A Nam...
A Blue Tea California in the treatment of varies disease
Synthetic Aperture Radar (SAR) Image Colorization Using Deep Learning Aims To Convert Grayscale Radar Images Into Visually Meaningful Color Representations. By Leveraging Models Like U-Net And GANs, This Process Combines SAR Data, Such As P...
Leveraging gan for synthetic medical image synthesis
Generative Adversarial Networks (GANs) Generate Realistic Medical Images, Tackling The Scarcity Of Annotated Datasets In Healthcare. Models Like Conditional GANs And CycleGANs Preserve Essential Clinical Features, Improve Model Generaliza...
SAR IMAGE COLOURIZATION FOR COMPREHENSIVE INSIGHT USING DEEP LEARNING
Synthetic Aperture Radar (SAR) Image Colorization Using Deep Learning Aims To Convert Grayscale Radar Images Into Visually Meaningful Color Representations. By Leveraging Models Like U-Net And GANs, This Process Combines SAR Data, Such As P...
FAUX FINDER
Fake Photos Have Recently Gained Popularity, Making It Harder For Individuals To Recognize Them. Many Professions, Such As Forensics, Are Suffering As A Result Of These Fake Photographs, And Social Media Has Also Become An Issue As A Result...
A Comprehensive Survey on Image Encryption Employing Chaos and Transform Domain Data Embedding
Data Encryption Has Been One Of The Pivotal Domains For Research. For A Long Time Is Has Happened To Be A Field Of Enormous Research Work Because Of Its Aspect Of Strong Data Protection. Initially Data Used To Be Handled In Text Formats On...