Image Processing Projects Using Matlab focuses on framing new algorithms, which lead to create applications of image processing. Image processing is a tool to represent images in a computer. There are two types of image formation process. MATLAB tool box will offer support for researchers on this topic.
Tools of Image Processing:
- Computer vision and image processing Tools.
- Microsoft vision SDL Library.
- Intel open computer vision library.
Pattern recognition:
Hidden information and raw data is recognized using pattern recognition. It recognizes speech signal, fingerprint image, DNA sequence, human face and handwritten word. One of its parts is biometric recognition in Image Processing Projects Using Matlab simulation.
Medical Image Processing projects can be done by students of information technology, electrical and instrumentation, computer science, biomedical engineering and electrical and instrumentation. Projects on medical imaging lets get closer details on human organs.Medical imaging Processing Projects is the emerging branch of medicine and technology.
Medical Image Processing Projects
Digital image processing is a processing of scene data to be automatically processed by machine. Digital images are captured from digital cameras and scanners which have some pixel resolution, colors and image quality.Image analysis is a process of solving a problem of extracting information during manipulation of images in Image Processing Projects.
Digital Image Processing Projects
Image processing, computer vision and computer graphics are the categories of this field. Thesis should follow the sequence of problem formulation, creation of proposed algorithm, implementation and results. The manuscript of thesis should be published in a journal.Geoscience, remote sensing, medical imaging and signal processing are the promising areas of Image Processing thesis.
Image Processing ThesisApplications of Pattern recognition:
- Information interaction.
- Personal identification.
- Optical character recognition.
- Internet search.
- Computer aided diagnosis.
- Automatic target recognition.
- Sequence Analysis.
- Junk mail Filtering.
- Information Extraction.
Biometric Recognition:
Individual’s security applications are recognized by biometric recognition. Many instate use this for authenticity now a days. Recognition of iris, finger vein, finger print, DNA sequence, face and lips are done by this.
Computer Security Applications:
Hiding and compression of images are performed by computer security application. This is very useful in secret data transmission. Confidential information is protected by cryptography, symmetric and asymmetric algorithm produced keys. To compress the image lossy and lossless compression algorithms are used. Water marking and steganography are used to hide information in Image Processing Projects Using Matlab projects.
Wireless communication:
Matlab tools are used to create and maintain wireless communication. It is also used to represent discrete time signal. It aids in the creation of MIMOOFDM based wireless communication. Simulation is used to detect fading and propagation of wireless channels.
Remote sensing:
Our center offers projects on remote sensing. The input images for remote sensing projects are taken from satellite. Synthetic aperture radar (SAR), advanced space bounce thermal emission and Reflection (ASTER), underwater sea images and geospatial images are some of image formats.
Changes in vegetation, landslides and sea are detected by SAR images. Areas of our country identified by ASTER.
Future Advancement:
New algorithms for encryption can be framed for security applications. More security related projects are offered by us.
