Master'sOpen Access

Open source image processing applications

2014
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Advisor: Doç. Dr. Abdulkadir Şengür

Abstract (EN)

Image processing is defined as to create new decisions on the datas which obtained by being taken digital images as input and treating it in the manner suitable for the purpose. The visual systems is meaning that all hardware and software structures which managing the whole processes by detecting from the external environment of the image or by creating in the system until it reaches target results The processing capacity of image processing technology which its application areas like health, geography, geology, security, production industry increasing day by day is pretty much. The image processing technologies aims to develop the systems that making this processing capacity by keeping the loss of time at a minimum level. Today in addition to hardware technologies that developed for this purpose, various software libraries and programming languages have been developed that making computers or other electronic tools behave like visual systems. In this thesis it has been aimed to develop in C# language at Studio.Net platform the basic image applications of EmguCV wrapper library and OpenCV functions. The applica-tions that being developed in the C# environment through EmguCV, are assembling the functions of OpenCV that being optimized and the strenghts of C# language. In addition to more effective using of system recources thanks to the wrapper structure of EmguCV, faster processing of image data and given more effective results has been provided thanks to OpenCV functions that being optimized In the conclusion section, a comparison was made in terms of speed and performance between the applications developed with EmguCV software environment, the same appli-cations which having powerful functions of image processing in Matlab and the same data group. It was determined that the applications developed with OpenCV functions has pro-duced faster results than many Matlab applications engaged in the same process and has been better than their performance.

Author

Dr. Fuat Esmeray

How to Cite

Fuat Esmeray (Master Thesis). Open source image processing applications, 2014, Fırat University.

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