PHD RESEARCH TOPIC IN IMAGE PROCESSING
PHD RESEARCH TOPIC IN IMAGE PROCESSING is becoming a new trend because of its essential usage in medical applications, Defence usage and many other leading fields. Image processing is a vast area which deals with manipulation and processing of an image into digitized version using mathematical notations. Its main purpose is enhancement of an image for further analysis. It includes image visualization, image retrieval and image reorganisation. Currently most popular PHD RESEARCH TOPIC IN IMAGE PROCESSING are edge preserving de-noising, colour transformation, and content based image retrieval. Even it is used in energy conservation for Mobile phones which is need of every one today.
Imaging is not a new concept; it just means acquisition of images. Image processing has a wide scope in Medical field. Today Manual efforts cannot diagnose the disease accurately and quickly. Tools of image processing make it possible with a second to find any disorder. These tools are basically based on Algorithms, filtering techniques and many other image processing concepts. Image processing has made great impact in the Medical research process. Not only medical field, even Indian Defence has got tremendous support due to Image processing domains. PHD RESEARCH TOPIC IN IMAGE PROCESSING has its own importance and more detailed explanation about it, can be referred down. Latest trend include 3D images and its application. We are supporting our scholars with both 3D and 2D image dataset. Recent trends in Image processing include its integration with other fields like parallel and distributed computing to make it more enhanced. Such advanced research are supported by our expert team.
RESEARCH ISSUES IN IMAGE PROCESSING :
Vision Based Navigation
Video Surveillance System
Content based Video Retrieval
Research Areas of Image processing
Moving Object Tracking
Brain Computer Interface
Issues on Image Restoration and Enhancement
Image and Video Processing
Forensic Image Processing
Intelligent Transport System
Security / Defense
Issue on Knowledge Extraction
Color gamut content distribution
Sampling and Modulation
Issues on audio and image search
SOFTWARE AND TOOL DETAILS :
7)Image Studio Lite
SOFTWARE & TOOL VERSIONS
7)Image Studio Lite-5.0
PURPOSE OF THE EVERY SOFTWARE AND TOOL
MATLAB–> Image processing tool primarily used for numerical computing and graphical design.
ImageJ–>Java-based image processing program which provides platform for User-written plugin to solve image processing problems.
3DSlicer–> free and open source software package used for image analysis and scientific visualization.
OpenCV–>library of programming functions aimed at real-time computer vision.
Openlab-> software package to performe 2D microscope image processing.
Amira–>software platform for 3D and 4D data visualization and analysis.
Image Studio Lite–> free software used for quantitation of Western blot images.
Mango–> non-commercial software used to view, editand analyze volumetric medical images
MicroDicom–> free DICOM viewer for Windows
MountainsMap–> surface imaging and metrology software used for micro-topography
MeVisLab–> cross-platform application framework for medical image processing and scientific visualization
CamFind–>CamFind is a visual search and image recognition mobile application.
Fiji –>function to distribute ImageJ with many bundled plugins.
Tomviz–> open source tool for reproducible volumetric visualization and data processing.
Ginkgo CADx–>Conversion of images to DICOM files.
FREE research papers and projects on digital image processing
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.
Some techniques which are used in digital image processing include:
Principal components analysis
Independent component analysis
Hidden Markov models
Partial differential equations
Large-Scale Automated Identification and Quality Control of Exfoliated and CVD Graphene via Image Processing Technique
towards a theory of sustainable privacy
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