Simulate. Analyze. Innovate. β Dive Deep with MATLAB Projects!
From the following you can see the Matlab Image Processing Final Year Projects. If you click the project title, you can see the details of the project with the output Video of it. If you wish to purchase a project, then you can purchase it via contacting us. In case if the Project Link is not available (or) then you can email us the project title (or) whatsapp the project title, so we can send the details of the project with the payment modes of it.
| Sl. No. | Matlab Project Title | Algorithm / Model Used | Tool |
|---|---|---|---|
| 1 | Pancreatic Cancer Detection from CT Images using Deep Learning | AlexNet CNN Model | MATLAB |
| 2 | Rice Leaf Nutrient Deficiency Detection System based on Leaf Image using Deep Learning | Fine-tuned ResNet50 model. | MATLAB |
| 3 | Deep Learning based Real Time Vehicle Detection and Collision Prediction with Distance-Based Alert System | Pre-trained YOLOv4 Model. | MATLAB |
| Sl. No. | Matlab Project Title | Algorithm / Model Used | Tool |
|---|---|---|---|
| 1 | Brain Tumor Detection and Classification Using Artificial Intelligence | YOLOV2 Algorithm & MobileNetV2 Architecture. | MATLAB |
| 2 | Classification of Potholes using Convolutional Neural Network Model | GoogleNet Architecture. | MATLAB |
| 3 | Deep Learning Based Parkinsonβs Disease Progression Analysis Using DaTscan Images | Inception V3 Model. | MATLAB |
| 4 | Artificial Intelligence based Facial Emotions Analysis for Depression Detection | AlexNet CNN Model. | MATLAB |
| 5 | Grading Of Diabetic Retinopathy Using Deep Learning | CNN Model Architecture. | MATLAB |
| 6 | Identification of Plant Disease from Leaf Images Based on Convolutional Neural Network | AlexNet CNN Model. | MATLAB |
| 7 | Knee Osteoarthritis Detection and Classification Using X-Rays | Faster R-CNN & GoogleNet. | MATLAB |
| 8 | Weeds and Crop Image Classification using Deep Learning Technique | ResNet50. | MATLAB |
| 9 | URL Based Phishing Website Detection using Machine Learning Models | Support Vector Machine (SVM) and Random Forest | MATLAB |
| 10 | AI-based Gender Identification using Facial Features | AlexNet-CNN | MATLAB |
| 11 | Skin Disease Classification using Deep Learning | VGG16 Architecture. | MATLAB |
| 12 | Driver Drowsiness Detection System Using Image Processing | K-Nearest Neighbors (KNN) and Random Forest. | MATLAB |
1οΈβ£ Complete Source Code π»
Youβll receive the full source code of your selected project β ready for execution and learning.
2οΈβ£ Final Report / Document π
π Note: The document we provide is a PLAGIARIZED DOCUMENT ONLY, which means it’s not unique. The content is basic and taken from IEEE papers/internet sources.
π You are required to customize it according to your college’s format or requirements β we do not provide customized documents.
π What the Document Includes:
| π Section 1 | π Section 2 |
|---|---|
| Abstract | Software Environment |
| Bibliography | System Analysis |
| Conclusion | System Design |
| Implementation | System Specification |
| Input & Output Design | System Study |
| Introduction | System Testing |
| Literature Survey | πΌοΈ System Design Includes: |
| Organisation Profile | β’ Data Flow Diagram |
| Screen Shots | β’ Use Case Diagram |
| Β | β’ Sequence Diagram |
| Β | β’ Class Diagram |
| Β | β’ Activity Diagram |
πΌοΈ System Design Includes the Following 5 Diagrams:
Data Flow Diagram
Use Case Diagram
Sequence Diagram
Class Diagram
Activity Diagram
3οΈβ£ One Review PPT π€ + Software Installation Links π
Get a ready-made review PowerPoint presentation along with necessary software links to install and run the project.
4οΈβ£ How to Run β Execution Help File π
A step-by-step guide to help you understand how to execute the project with ease.
π₯ Other MATLAB Projects:
Want to explore more MATLAB Final Year Projects?
π© To purchase a project, simply email the project title to: novithratech@gmail.com
π² Or WhatsApp us the project title to get the project details and payment information.
π¬ Medical Image Processing Projects in MATLAB β By Novithra Tech π§ π»
At Novithra Tech, we bring you the latest in Medical Image Processing Projects powered by MATLAB. Our projects combine innovation with real-world healthcare applications, helping students and researchers dive into the future of medical diagnostics and research. π₯π
Whether you’re working on image segmentation, tumor detection, or pattern recognition, our projects are designed to give you hands-on experience and insight into the world of medical imaging. π©ΊπΌοΈ
Unlock the potential of MATLAB in healthcare with Novithra Tech β where technology meets life-saving solutions. π
| Sl. No. | Project Title | Tool |
|---|---|---|
| 1 | Breast Cancer Detection and Classification | MATLAB |
| 2 | Automatic Breast Segmentation and Cancer Detection via SVM in Mammograms | MATLAB |
| 3 | Computer Aided Theragnosis Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy in Locally Advanced Breast Cancer | MATLAB |
| 4 | Tumor Detection in Brain MRI Image Using Template based K-means and Fuzzy C-means Clustering Algorithm | MATLAB |
| 5 | Brain tumor detection and classification based on two classifier model | MATLAB |
| 6 | Brain Tumor Segmentation and Its Area Calculation in Brain MR Images using K-Mean Clustering and Fuzzy C-Mean Algorithm | MATLAB |
| 7 | Brain tumor detection and classification | MATLAB |
| 8 | Diabetes Detection based on Iris abnormal | MATLAB |
| 9 | Iris Diagnosis β A Quantitative Non-Invasive Tool for Diabetes Detection | MATLAB |
| 10 | Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted from Fundus Images | MATLAB |
| 11 | Retinal Disease Screening through Local Binary Patterns | MATLAB |
| 12 | Glaucoma Detection from Fundus Images Using MATLAB GUI | MATLAB |
| 13 | Blood Vessel Segmentation in Fundus Images and Detection of Glaucoma | MATLAB |
| 14 | Blood Vessel Segmentation in Fundus Images and Detection of Glaucoma using SVM | MATLAB |
| 15 | Red Lesion Detection Using Dynamic Shape Features for Diabetic Retinopathy Screening | MATLAB |
| 16 | Bagged textural and color features for melanoma skin cancer detection in dermoscopic and standard images | MATLAB |
| 17 | System to predict the gestational age and extracting the features such as length of the fetus and its orientation | MATLAB |
| 18 | Automatic Classification of Intracardiac Tumor and Thrombi in Echocardiography based on Sparse Representation | MATLAB |
| 19 | Real-Time Automatic Artery Segmentation, Reconstruction and Registration for Ultrasound-Guided Regional Anaesthesia of the Femoral Nerve | MATLAB |
| 20 | Automatic Hookworm Detection in Wireless Capsule Endoscopy Images | MATLAB |
| 21 | An Automatic Learning-Based Framework for Robust Nucleus Segmentation | MATLAB |
π Facial Expression Analysis Projects in MATLAB β By Novithra Tech ππ»
At Novithra Tech, we specialize in Facial Expression Analysis Projects using the powerful tools of MATLAB. Our innovative solutions are designed to explore the world of emotion recognition, sentiment analysis, and human-computer interaction. π§ π₯οΈ
With strong expertise and real-world applications, these projects help students and researchers understand how facial movements can be translated into meaningful data for smarter systems. Whether you’re aiming to build smarter AI or delve into behavioral analytics, we’ve got the right project for you! ππ
Let your project speak emotions β only at Novithra Tech. π
| Sl. No. | Project Title | Tool |
|---|---|---|
| 1 | A Facial-Expression Monitoring System for Improved Healthcare in Smart Cities | MATLAB |
| 2 | Dynamic Facial Expression Recognition With Atlas Construction and Sparse Representation | MATLAB |
| 3 | Robust Representation and Recognition of Facial Emotions Using Extreme Sparse Learning | MATLAB |
| 4 | Local Directional Number Pattern for Face Analysis: Face and Expression Recognition | MATLAB |
At Novithra Tech, we are at the forefront of innovative Agriculture-based Projects that harness the potential of MATLAB. Our deep-rooted expertise in agriculture and the computational capabilities of MATLAB enable us to provide groundbreaking solutions for modern farming practices.
| Sl. No. | Project Title | Tool |
|---|---|---|
| 1 | Classification of Chikoo (Sapota) Fruits on basis of RGB colour space using Digital Image Processing | MATLAB |
| 2 | Machine vision based sorting of Chikoo (sapota) fruit of Dahanu taluka region using Digital Image Processing | MATLAB |
| 3 | Higher Order Dynamic Conditional Random Fields Ensemble for Crop Type Classification in Radar Images | MATLAB |
| 4 | Feature based transition region extraction for image segmentation: Application to worm separation from leaves | MATLAB |
Powered by NovithraTech.