Image Processing
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- Research Design, includes development of conceptual framework/model
- Drafting of chapters, includes layout with headings and sub-headings of chapters
- Collecting data, includes primary and secondary data collection for doctoral research
- Data Analysis using SPSS STATA AMOS R SAS E Views
- Implementation using Matlab Simulink, NS2, NS3, ANSYS, Labview, CST, HFSS, Weka
- Revisions/corrections as per guides feedback
- Editing/Proofreading & Scientific editing for manuscripts
Digital image processing is the process of using computer algorithms to perform image processing on digital images. Latest topics in digital image processing for research and thesis are based on these algorithms. Being a subcategory of digital signal processing, digital image processing is better and carries many advantages over analog image processing. It permits to apply multiple algorithms to the input data and does not cause the problems such as the build-up of noise and signal distortion while processing. The list of thesis topics in image processing is listed here. Before going into topics in image processing, you should have some basic knowledge of image processing.
Why is Image Processing Required?
- Visualization of the hidden objects in the image.
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Enhancement of the image through sharpening and restoration.
- Seek valuable information from the images.
- Measuring different patterns of objects in the image.
- Distinguishing different objects in the image.
