Learn Bench

100% OUTPUT AND QUALITY ASSURANCE FINAL YEAR PROJECTS ON DIGITAL IMAGE PROCESSING

100% PRACTICAL TRAINING ON ALL DOMAINS

TECHNOLOGY : MATLAB

Matlab Digital image Processing Project Titles

The Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems.

Digital camera imagesDigital cameras generally include dedicated digital image processing chips to convert the raw data from the image sensor into a color-corrected image in a standard image file format
Intelligent transportation systemsDigital image processing has a wide applications in intelligent transportation systems, such as automatic number plate recognition and traffic sign recognition
Bio-Metrics ApplicationsTo identify and authentify various bio-metrics techniques are deployed in face, iris, finger-print .For getting recognition in security systems image processing holds an important role
Scientific ImagingTo detect un-curable diseases like cancer, thyroid in various fields are prevented in advance

Finding Correlated Biclusters from Gene Expression Data
A Learning-Based Similarity Fusion and Filtering Approach for Biomedical Image Retrieval Using SVM Classification and Relevance Feedback
Scalable Face Image Retrieval with Identity-Based Quantization and Multi reference Reranking
A Universal Noise Removal Algorithm With an Impulse Detector
Scanned Compound Document Encoding Using Multiscale Recurrent Patterns
Spatial-Range Mean-Shift Filtering and Segmentation Applied to SAR Images
Assessment of Human Red Blood Cell Aggregation Using Image Processing and Wavelets
Pulse Coupled Neural Network Based Image Classification
Image Segmentation using Pulse Coupled Neural Networks
Image Fusion Algorithm Based on m-PCNN
Wavelet-based medical image compression with adaptive prediction
Block-Based Image Compression With Parameter-Assistant Inpainting
Model-Based Despeckling and Information Extraction from SAR Images
Automated Event Detection of Epileptic Spikes using Neural Networks
Efficient Compression of Encrypted Grayscale Images
Active Testing for Face Detection and Localization
A 140-MHz 94 K Gates HD1080p 30-Frames/s Intra-Only Proﬁle H.264 Encoder
Adaptive Color Feature Extraction Based on Image Color Distributions
Iterative Image Fusion Technique using Fuzzy and Neuro Fuzzy logic and Applications
Automated driver-less trains by Image Processing
General Road Detection From a Single Image

Name:	*
Username:	*
Email:	*
Password:	*
Verify Password:	*
Fields marked with an asterisk (*) are required.