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Decompilation of High-Level Constructions in C++ Binaries
Jakub, Dušan ; Křivka, Zbyněk (referee) ; Matula, Peter (advisor)
The thesis addresses the decompilation of high-level object-oriented C++ language from a machine code. The term reverse engineering is defined and existing decompilers are described with emphasis on their ability to reconstruct C++. AVG decompiler project is introduced, to which this thesis contributes. C++ language is analysed, both on a logical level and in the machine code and existing methods of decompilation are described. On this basis a novel method is introduced, capable of decompiling classes, their hierarchy, constructors, destructors and definitions and usages of virtual methods. The method is implemented, tested and evaluated. In the conclusion, several suggestions for future development of this project are presented.
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Automatic Segmentation of Documents Stored as Images
Jakub, Dušan ; Španěl, Michal (referee) ; Szőke, Igor (advisor)
This work deals with dividing the documents stored as images into three groups of segments - background, text and graphics. It introduces various solutions and the method using Gabor filters and artficial neural networks is described in detail. The selection of apropriate settings of the filters and training parameters of the network is discussed. Connected components searching is used for improving the results. A classifier writen in C++ and OpenCV library is part of the work. The designed procedure is applied for segmentation of scanned scientific papers, but also the results of segmentation of more complex documents (advertisements, presentation slides) are presented.
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Decompilation of High-Level Constructions in C++ Binaries
Jakub, Dušan ; Křivka, Zbyněk (referee) ; Matula, Peter (advisor)
The thesis addresses the decompilation of high-level object-oriented C++ language from a machine code. The term reverse engineering is defined and existing decompilers are described with emphasis on their ability to reconstruct C++. AVG decompiler project is introduced, to which this thesis contributes. C++ language is analysed, both on a logical level and in the machine code and existing methods of decompilation are described. On this basis a novel method is introduced, capable of decompiling classes, their hierarchy, constructors, destructors and definitions and usages of virtual methods. The method is implemented, tested and evaluated. In the conclusion, several suggestions for future development of this project are presented.
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Automatic Segmentation of Documents Stored as Images
Jakub, Dušan ; Španěl, Michal (referee) ; Szőke, Igor (advisor)
This work deals with dividing the documents stored as images into three groups of segments - background, text and graphics. It introduces various solutions and the method using Gabor filters and artficial neural networks is described in detail. The selection of apropriate settings of the filters and training parameters of the network is discussed. Connected components searching is used for improving the results. A classifier writen in C++ and OpenCV library is part of the work. The designed procedure is applied for segmentation of scanned scientific papers, but also the results of segmentation of more complex documents (advertisements, presentation slides) are presented.
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