Image Processing Projects Using Matlab

In Order to desire a better image or to extract some useful ideas,Image Processing methods are used. And to change an image to digital form and carry out some task on it.Image Processing Projects using matlab helps in storage and transmission of large data across wide are network.

• Pre-Processing.
• Information Extraction.
• Enhancement & display.

Are the general phases while using digital technique.

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2015 IEEE IMAGE PROCESSING PROJECTS USING MATLAB

• Intensity-Based Visual Servoing for Instrument and Tissue Tracking in 3D Ultrasound Volumes.
• Class-Dependent Sparse Representation Classifier for Robust Hyperspectral Image Classification.
• The Gridding Method for Image Reconstruction of Nonuniform Aperture Synthesis Radiometers.
• Compressed Sensing MRI via Two-stage Reconstruction.
• Weakly Supervised Learning for Target Detection in Remote Sensing Images.
• Exploring Robust Diagnostic Signatures for Cutaneous Melanoma Utilizing Genetic and Imaging Data.
• Smartphone-Based Wound Assessment System for Patients With Diabetes.
• Tensorial Independent Component Analysis-Based Feature Extraction for Polarimetric SAR Data Classification.
• Hyperspectral Band Selection by Multitask Sparsity Pursuit.
• When Pixels Team up: Spatially Weighted Sparse Coding for Hyperspectral Image Classification.
• Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images.
• A Geometric Unmixing Concept for the Selection of Optimal Binary Endmember Combinations.
• Combining Ordered Subsets and Momentum for Accelerated X-Ray CT Image Reconstruction.
• Spectral Image Unmixing From Optimal Coded-Aperture Compressive Measurements.
• Automatic Spatial–Spectral Feature Selection for Hyperspectral Image via Discriminative Sparse Multimodal Learning.
• Collaborative Representation for Hyperspectral Anomaly Detection.
• Automatic Recognition of Isolated Buildings on Single-Aspect SAR Image Using Range Detector.
• Wavelet-Based Texture Features for the Classification of Age Classes in a Maritime Pine Forest.
• Target Recognition in SAR Images via Classification on Riemannian Manifolds.
• Three-Dimensional Object Matching in Mobile Laser Scanning Point Clouds.

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Some of the methods of Image Processing Projects using Matlab are:

• Image Representation.
• Image Analysis.
• Pre-Processing Image.
• Reconstruction Of Image.

Image Representation

The major work of two real variables is the image stated in the real world.

Image Analysis

To make quantitative measurements from an image and form out a description on it is Image Analysis. In other words, deriving useful ideas on a particular image such as colors, objects and shapes.

Pre-Processing Image

The process of  scaling and reduction is Pre-Processing. The shear can be implemented  very effectively and there would be no associated  Re-sampling degradations.

Reconstruction Of Image

From one-dimensional projections two-dimensional object can be framed out.

Fourier transformations theory, convolution and correlation techniques are used to derive correct results.

These are the major task in which Image Processing is based Upon.