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Image analysis of object surface texture
Klimeš, Jiří ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
This master thesis deals with design and implementation of algorithms for image analysis of object surface texture for the purpose of automating the surface grinding process. In the first part of this thesis, a search was performed in the field of image analysis of object surface texture. The proposed descriptors were tested on the created annotated database of texture images. Subsequently, a scene for image acquisition of the machined object was designed and assembled, and the grinding process was automated based on the results of the previous analysis. The implementation and achieved results were evaluated and other possible improvements were proposed.
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Automatic exchange of workpieces in CNC horizontal milling centers
Mašek, Dominik ; Marek, Tomáš (referee) ; Marek, Jiří (advisor)
The thesis focuses on the issue of automatic workpiece change in CNC horizontal milling centres. On the basis of a system analysis of the problem and the current state of the market, a suitable method of automatic workpiece change for a large machine tool, which can be specified as a machine designed for workpieces weighing more than 10 000 kg, is to be proposed. In the first part of the thesis the problem of automatic workpiece change is discussed, followed by a market analysis. The design of the structural solution consists of the design and evaluation of solution variants, the necessary technical calculations of the selected variant, a 3D model and selected drawings. The machine is rated for a load of 40,000 N from the pallet and workpiece.
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Image analysis of object surface texture
Klimeš, Jiří ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
This master thesis deals with design and implementation of algorithms for image analysis of object surface texture for the purpose of automating the surface grinding process. In the first part of this thesis, a search was performed in the field of image analysis of object surface texture. The proposed descriptors were tested on the created annotated database of texture images. Subsequently, a scene for image acquisition of the machined object was designed and assembled, and the grinding process was automated based on the results of the previous analysis. The implementation and achieved results were evaluated and other possible improvements were proposed.
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