Image Processing Projects
Image processing projects include techniques for enhancing images, analyzing, and editing virtual pictures. Algorithms are widely utilized in those projects to carry out responsibilities along with segmentation, sample reputation, filtering, and issue detection. Takeoff Projects offers an excess of Custom image processing projects for both professionals and students. In addition to object detection, noise discount, and picture enhancement, our projects include important topics. Working on such projects will increase your fundamentals of image processing projects and provide you with hands on experience.
Project Code: TMMAIP476
Project Title:VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 with XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning ModelsView DetailsProject Code: TMMAIP473
Project Title:Classification of Oral Cancer into Pre-Cancerous Stages from White Light Images Using LightGBM AlgorithmView DetailsProject Code: TMMAIP472
Project Title:Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine LearningView DetailsProject Code: TMMAIP471
Project Title:Enhancing Hybrid Classification for Plant Diseases with Deep Feature Selection Based on Analytical Entropy and Statistical MethodView DetailsProject Code: TMMAIP470
Project Title:Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian CancerView DetailsProject Code: TMMAIP469
Project Title:Masked Vascular Structure Segmentation and Completion in Retinal ImagesView DetailsProject Code: TMMAIP468
Project Title:Low contrast enhancement algorithm for color image using pythagorean fuzzy sets with a fusion of CLAHE and BPDHE methodsView DetailsProject Code: TMMAIP467
Project Title:Recovering the Images Distorted by Surface Waves Using an Efficient Multi-Stage Image Reconstruction StrategyView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TMMAIP476 | VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNet... | |
| 2 | TMMAIP475 | Detection of Oral cancer using Image analysis | |
| 3 | TMMAIP474 | Bone Age Estimation from Hand X-ray Images | |
| 4 | TMMAIP473 | Classification of Oral Cancer into Pre-Cancerous Stages from White Lig... | |
| 5 | TMMAIP472 | Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Manageme... | |
| 6 | TMMAIP471 | Enhancing Hybrid Classification for Plant Diseases with Deep Feature S... | |
| 7 | TMMAIP470 | Comparative Study of Machine Learning and Deep Learning Models for Ear... | |
| 8 | TMMAIP469 | Masked Vascular Structure Segmentation and Completion in Retinal Image... | |
| 9 | TMMAIP468 | Low contrast enhancement algorithm for color image using pythagorean f... | |
| 10 | TMMAIP467 | Recovering the Images Distorted by Surface Waves Using an Efficient M... |
Project Code: TMMAIP476
Project Title:VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 with XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning ModelsView DetailsProject Code: TMMAIP473
Project Title:Classification of Oral Cancer into Pre-Cancerous Stages from White Light Images Using LightGBM AlgorithmView DetailsProject Code: TMMAIP472
Project Title:Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine LearningView DetailsProject Code: TMMAIP471
Project Title:Enhancing Hybrid Classification for Plant Diseases with Deep Feature Selection Based on Analytical Entropy and Statistical MethodView DetailsProject Code: TMMAIP470
Project Title:Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian CancerView DetailsProject Code: TMMAIP469
Project Title:Masked Vascular Structure Segmentation and Completion in Retinal ImagesView DetailsProject Code: TMMAIP468
Project Title:Low contrast enhancement algorithm for color image using pythagorean fuzzy sets with a fusion of CLAHE and BPDHE methodsView DetailsProject Code: TMMAIP467
Project Title:Recovering the Images Distorted by Surface Waves Using an Efficient Multi-Stage Image Reconstruction StrategyView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TMMAIP476 | VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNet... | |
| 2 | TMMAIP475 | Detection of Oral cancer using Image analysis | |
| 3 | TMMAIP474 | Bone Age Estimation from Hand X-ray Images | |
| 4 | TMMAIP473 | Classification of Oral Cancer into Pre-Cancerous Stages from White Lig... | |
| 5 | TMMAIP472 | Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Manageme... | |
| 6 | TMMAIP471 | Enhancing Hybrid Classification for Plant Diseases with Deep Feature S... | |
| 7 | TMMAIP470 | Comparative Study of Machine Learning and Deep Learning Models for Ear... | |
| 8 | TMMAIP469 | Masked Vascular Structure Segmentation and Completion in Retinal Image... | |
| 9 | TMMAIP468 | Low contrast enhancement algorithm for color image using pythagorean f... | |
| 10 | TMMAIP467 | Recovering the Images Distorted by Surface Waves Using an Efficient M... |
Project Code: TMMAIP476
Project Title:VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 with XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning ModelsView DetailsProject Code: TMMAIP473
Project Title:Classification of Oral Cancer into Pre-Cancerous Stages from White Light Images Using LightGBM AlgorithmView DetailsProject Code: TMMAIP472
Project Title:Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine LearningView DetailsProject Code: TMMAIP471
Project Title:Enhancing Hybrid Classification for Plant Diseases with Deep Feature Selection Based on Analytical Entropy and Statistical MethodView DetailsProject Code: TMMAIP470
Project Title:Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian CancerView DetailsProject Code: TMMAIP469
Project Title:Masked Vascular Structure Segmentation and Completion in Retinal ImagesView DetailsProject Code: TMMAIP468
Project Title:Low contrast enhancement algorithm for color image using pythagorean fuzzy sets with a fusion of CLAHE and BPDHE methodsView DetailsProject Code: TMMAIP467
Project Title:Recovering the Images Distorted by Surface Waves Using an Efficient Multi-Stage Image Reconstruction StrategyView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TMMAIP476 | VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNet... | |
| 2 | TMMAIP475 | Detection of Oral cancer using Image analysis | |
| 3 | TMMAIP474 | Bone Age Estimation from Hand X-ray Images | |
| 4 | TMMAIP473 | Classification of Oral Cancer into Pre-Cancerous Stages from White Lig... | |
| 5 | TMMAIP472 | Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Manageme... | |
| 6 | TMMAIP471 | Enhancing Hybrid Classification for Plant Diseases with Deep Feature S... | |
| 7 | TMMAIP470 | Comparative Study of Machine Learning and Deep Learning Models for Ear... | |
| 8 | TMMAIP469 | Masked Vascular Structure Segmentation and Completion in Retinal Image... | |
| 9 | TMMAIP468 | Low contrast enhancement algorithm for color image using pythagorean f... | |
| 10 | TMMAIP467 | Recovering the Images Distorted by Surface Waves Using an Efficient M... |
The Takeoff Projects help the students to work with the latest image processing projects. Our projects are aimed to improve your practical experience and increase your knowledge of image processing. Through the guidance of our mentors, documentation of projects, and you stand a very good chance to succeed in your academics and your future aim. Sign up with Takeoff Edu Group now it will helps to improve your resume and learn more.
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
