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Possibilities of using expert systems and mathematical 3D modeling in treament of cysts in maxillofacial region
Mahdian, Nima ; Dostálová, Taťjana (advisor) ; Mazánek, Jiří (referee) ; Saic, Stanislav (referee)
Dentistry and medicine as part of empirical sciences, need to constantly develop in scientific field since the tasks it is facing today were unthinkable to solve few decades ago. Hence, dentistry is calling a greater improvement and demanding a more effective and long-term functionality. Massive expansion of scientific research, new methods and opportunities represent a considerable amount of information to be efficiently processed. Despite the fact that the human brain is still the most advanced yet it has its own limitations. The development of artificial intelligence and mathematical modeling provides us with solutions to address and replace those limits. In areas where the human brain has reached its limits (fatigue, the amount of data, agility etc.) artificial intelligence including expert systems is being increasingly promoted. It is clear that expert systems has found its place in a variety of industries ranging from banking to geology. Also, medicine is not an exception and is constantly progressing by several expert systems for decision support in daily clinical practice. Mathematical modeling helps us to work with emphasis on long-term performance. We have the advantage to prepare everything in 3D models. Sometimes we can use a mathematical model such as conducting operations and...
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Pasivní metody detekce obrazových falzifikátů
Saic, Stanislav ; Mahdian, Babak
In today’s digital age, it is possible to effortlessly create image forgeries without leaving any obvious traces of tampering. In this paper we bring a brief review of existing blind methods for detecting image fakery. Blind methods are regarded as a new direction and work without using any prior information about the image being investigated or its source.
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Periodické vlastnosti převzorkovaných obrazů
Mahdian, Babak ; Saic, Stanislav
In recent years, due to the advent of high-performance commodity hardware and improved human computer interfaces, it has become relatively easy to create fake images. Modern, image processing software enables forgeries that are undetectable by the naked eye. Typically, to create high quality and consistent forgeries, several types of tampering techniques are employed simultaneously. One of the most often used techniques is resampling. When two or more images are spliced together, in order to create a consistent tampering, almost always geometric transformations such as scaling or rotation are needed. In this work we propose an effective method to automatically detect resampled portion of images. Generally, resampling is based on an interpolation procedure. We study specific periodic properties presence in interpolated signals and use this for our detection method. We demonstrate our results on several examples.
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Skyté periodicity v interpolovaných signálech a jejich derivacích
Saic, Stanislav ; Mahdian, Babak
Many applications like, texture analysis, image registration, etc., are based on interpolation. Therefore, without the detailed knowledge of how the statistics of the signal is changed by the interpolation process, applications based on statistical approaches working with interpolated signals or with their derivatives can yield miscalculations and unexpected results. Therefore a detailed knowledge about the changes brought into the signal by interpolation could be critical. Sometimes, there exists a need to examine whether a signal has been interpolated.
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