IEEE PROJECTS FOR MATLAB

MATLAB Projects

 

I. MATLAB based on DATA FORENSICS

1. Image Retrieval Using CNN And Low- Level Feature Fusion For Crime Scene Investigation Image Database. (IEEE 2019)
2. Unified Single-Image and Video Super-Resolution. (IEEE 2019)
3. Morphology-Based Banknote Fitness Determination. (IEEE 2019)
4. Secure and Robust Fragile Watermarking Scheme for Medical Images. (IEEE 2019)
5. A new deep learning-based method to detection of copy-move forgery in digital images. (IEEE 2019)
6. Defining Cost Functions for Adaptive JPEG Steganography at the Microscale. (IEEE 2019)

 

II. MATLAB based on ANATOMIZE INFORMATION SYSTEM

1. Traffic Scene Segmentation Based on RGB-D Image and Deep Learning. (IEEE 2019)
2. Single Image Haze Removal via Region Detection Network. (IEEE 2019)
3. Ship Extraction using Post CNN from High Resolution Optical Remotely Sensed Images. (IEEE 2019)
4. Shadow detection and removal from images using machine learning and morphological operations. (IEEE 2019)
5. License Plate Image Super-Resolution Based on Convolutional Neural Network. (IEEE 2019)

 

III. MATLAB based on BIO-AESCULAPIUS IMAGING

1. Bone tumour detection and classification. (IEEE 2019)
2. Hookworm detection in wireless endoscopy. (IEEE 2019)
3. Computational detection of cervical uterine cancer. (IEEE 2019)
4. Breast cancer classification. (IEEE 2019)
5. Multilevel Segmentation Optimized by Physical Information for Gridding of Microarray Images. (IEEE 2019)
6. Deep Learning Models for Retinal Blood Vessels Segmentation: A Review. (IEEE 2019)
7. Detection Skin cancer using SVM and Snake model. (IEEE 2019)
8. Automatic White Blood Cell Detection And Identification Using Convolutional Neural Network. (IEEE 2019)
9. Automatic Sickle Cell Anemia Detection Using Image Processing Technique. (IEEE 2019)
10. Synthesis, stability, and in vitro oral cancer cell toxicity of human serum albumin stabilised gold nanoflowers. (IEEE 2019)
11. Colour Image Segmentation for Malaria parasites Detection using Cacading Method. (IEEE 2019)
12. Robust Methods for Real-time Diabetic Foot Ulcer Detection and Localization on Mobile Devices. (IEEE 2019)

 

IV. MATLAB based on E-MAIL & WIRELESS APPLICATION:

1. Detection Of Liver Cancer Using Image Processing Techniques. (IEEE 2019)
2. Leukocyte Segmentation and Counting Based on Microscopic Blood Images Using HSV
Saturation Component with Blob Analysis. (IEEE 2019)
3. SetSVM: An Approach to Set Classification in Nuclei-based Cancer Detection. (IEEE 2019)
4. Fusion of structural and textural features for melanoma recognition. (IEEE 2019)
5. Smart electronic voting system based on biometrie identification-survey. (IEEE 2019)
6. Diagnogsis of Diabetic Retinopathy Using Image Processing and Convolutional Neural Network. (IEEE 2019)

 

V. MATLAB based on NEURAL NETWORKS

1. CNN based training and classification of MRI Brain Images. (IEEE 2019)
2. A New Approach For Vehicle Number Plate Detection. (IEEE 2019)
3. Deep learning approach in computer aided detection system for lung cancer. (IEEE 2019)
4. Identification Of Leukemia Diseases Based On Microscopic Human Blood Cells Using Image Processing. (IEEE 2019)

 

VI. MATLAB based on BIO-METRIC RECOGNITION

1. Fusion of geometric and texture feature for ear recognition. (IEEE 2019)
2. Enhancing bank security using face, iris and finger vein technology. (IEEE 2019)
3. Finger Vein Recognition Based on Feature Point Distance. (IEEE 2019)
4. Smart Home Management System Based on Face Recognition Index in Real-time. (IEEE 2019)
5. Pain Detection from Facial Images using Unsupervised Feature Learning Approach. (IEEE 2019)
6. Fingerprint Image Identification for Crime Detection. (IEEE 2019)
7. Design a Secure Voting System Using Smart Card and Iris Recognition. (IEEE 2019)
8. Feature Extraction Methods for Palmprint. (IEEE 2019)

 

VII. MATLAB based on H2M COMMUNICATION

1. Fruit Quantity And Ripeness Estimation Using A Robotic Vision System. (IEEE 2019)
2. A Hybrid Feature Extraction Method with Regularized Extreme Learning Machine for Brain Tumor Classification. (IEEE 2019)
3. Adjustment of Bed for a Patient Through Gesture Recognition. (IEEE 2019)
4. Verifiable Classroom Voting in Practice. (IEEE 2019)
5. Gesture Recognition and finger tip detection for Human Computer Interaction. (IEEE 2019)
6. Automated Medical Waste Segregation Machine Using Arduino Controller. (IEEE 2019)
7. GACM based segmentation method for Lung nodule detection and classification of stages using CT images. (IEEE 2019)
8. Optimization and Hardware Implementation of Image and Video Watermarking for Low- Cost Applications. (IEEE 2019)

 

VIII. MATLAB based on AGRI-MAN MANAGEMENT

1. Design Of Green Agriculture System Using Internet Of Things And Image Processing Techniques. (IEEE 2019)
2. Identification of Plant Disease using Image Processing Technique. (IEEE 2019)
3. Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming. (IEEE 2019)
4. IoT Solutions for Crop Protection against Wild Animal Attacks. (IEEE 2019)

 

IX. MATLAB based on MACHINE-EYE

1. Secure and Robust Fragile Watermarking Scheme for Medical Images. (IEEE 2019)
2. Fast detection method of Quick Response Code based on Run-Length coding. (IEEE 2019)
3. Traffic Sign Detection And Recognition Using A CNN Ensemble. (IEEE 2019)
4. Eye Fatigue Detection System. (IEEE 2019)

 

X. MATLAB based on AURAL PROCESSING

1. MFCC and VQ Voice Recognition Based ATM Security for the Visually Disabled.
(IEEE 2019)
2. Smart Music Player Integrating Facial Emotion Recognition and Music Mood
Recommendation. (IEEE 2019)
3. A Novel Dual Watermarking Algorithm for Digital Audio. (IEEE 2019)

 

XI. MATLAB based on VIDEO PROCESSING

1. Design of a Vehicle Driver Drowsiness Detection System through Image Processing using MATLAB. (IEEE 2019)
2. Deep Video Dehazing With Semantic Segmentation. (IEEE 2019)
3. Dual Video Watermarking Algorithm Based on SIFT and HVS in the Contour let Domain. (IEEE 2019)
4. Video Compression Based On Spatio Temporal resolution Adaption. (IEEE 2019)
5. Fire Detection in Infrared Video Surveillance Based on Convolutional Neural Network. (IEEE 2019)
6. Skeleton-based human activity recognition for elderly monitoring systems. (IEEE 2019)
7. Commutative Encryption and Data Hiding in HEVC Video Compression. (IEEE 2019)

 

XII. MATLAB based on STRUCTURE DESIGN AND MONITORING

1. Inspection And Identification Of Crack Concrete Structure (IEEE 2019)
2. Automated road crack detection using deep convolutional neural network. (IEEE 2019)

 

XIII. MATLAB based on IMAGE ENHANCEMENT

1. Analyzing Basketball Movements and Pass Relationship Using Realtime Object Tracking Techniques Based on Deep Learning. (IEEE 2019)
2. PedJointNet: Joint Head-Shoulder and Full Body Deep Network for Pedestrian Detection. (IEEE 2019)
3. High-Resolution Remote Sensing Image Change Detection Combined With Pixel-Level and Object-Level. (IEEE 2019)
4. Object Detection in Aerial Images Using Feature Fusion Deep Networks. (IEEE 2019)
5. Fast Fractal Based Compression for MRI Images. (IEEE 2019)
6. Lossless colour image compression. (IEEE 2019)
7. MRI image compression. (IEEE 2019)
8. Image Deblurring with a Class-Specific Prior. (IEEE 2019)
9. Estimating Depth-Salient Edges And Its Application To Stereoscopic Image Quality Assessment. (IEEE 2019)

 

XIV. MATLAB based on THIRD EYE

1. Adaptive k means image segmentation based on meta heuristic algorithm. (IEEE 2019)
2. Vision-based human action classification using adaptive boosting algorithm. (IEEE 2019)
3. Design Of Vehicle Driver Drowsiness Detection System Through Image Processing Using MATLAB. (IEEE 2019)

 

XV. MATLAB based on GRAPHICS

1. Detection of exudates in retinal images. (IEEE 2019)
2. Crop and Weeds Classification for Precision Agriculture using Context-Independent Pixel-Wise Segmentation. (IEEE 2019)
3. Lung nodule detection. (IEEE 2019)
4. Design of Intelligent Classroom Attendance System Based on Face Recognition. (IEEE 2019)
5. OTP Based Cardless Transction using ATM. (IEEE 2019)
6. Glaucoma Screening through Level Set for Optic Disc Segmentation and Textural Features for Classification. (IEEE 2019)

 

XVI. MATLAB based on GREEN-IOT

1. Multilayer Convolution Neural Network for the Classification of Mango Leaves Infected by Anthracnose Disease. (IEEE 2019)
2. An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection. (IEEE 2019)
3. Automatic Vegetable leaf cutter based on Matlab and Embedded Systems. (IEEE 2019)
4. Automatic Detection of Tomato Diseases and Pests Based on Leaf Images. (IEEE 2019)
5. Wireless Monitoring of Greenhouse Environment. (IEEE 2019)
6. Automatic Recognition of Guava Leaf Diseases using Deep Convolution Neural Network. (IEEE 2019)
7. Diseases Detection of Various Plant Leaf Using Image Processing Techniques A Review. (IEEE 2019)

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