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Master Thesis Czech Technical University in PragueF3Faculty of Electrical Engineering Department of CyberneticsImplementation of Image Processing in the UV DAR System on FPGA. Notch VrbaSupervisor:
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01
Decide on the image processing technique you want to implement (e.g. image segmentation, edge detection, image filtering).
02
Choose an appropriate programming language and image processing library (e.g. Python with OpenCV, MATLAB, C++ with OpenCV).
03
Load the image you want to process into your chosen programming environment.
04
Write code to apply the selected image processing technique to the loaded image.
05
Test and debug your implementation to ensure it works correctly.
06
Document your code and explain the steps you took to implement the image processing technique.

Who needs implementation of image processing?

01
Researchers and scientists working in fields such as computer vision, medical imaging, and remote sensing.
02
Engineers developing applications that involve image analysis and recognition.
03
Artists and designers looking to create visual effects or manipulate images for creative purposes.
04
Hobbyists interested in experimenting with image processing techniques for fun or learning purposes.
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Implementation of image processing refers to the act of putting into practice the techniques and algorithms used to manipulate or enhance digital images.
Individuals or organizations working with image processing technologies may be required to file implementation reports, depending on the regulatory requirements in their jurisdiction.
The implementation of image processing can be filled out by detailing the specific methods, tools, and technologies used in processing images, along with any relevant results or outcomes.
The purpose of implementing image processing is to improve the quality, usability, or understanding of digital images for various applications such as medical imaging, satellite imagery analysis, or artistic creation.
Information to be reported in implementation of image processing may include details on the image processing techniques employed, the software or hardware used, any challenges faced, and the overall impact of processing on the images.
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