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Application for Implementation of Digital Images Morphological Transformations
Kečkéš, Miroslav ; Beneš, Radek (oponent) ; Říha, Kamil (vedoucí práce)
This thesis deals with the implementation of basic morphological operations on binary and gray-tone digital images. Partly devoted to filling in areas and thresholding, as the basic method of segmentation. The thesis is divided into two parts. The first part deals with the theoretical analysis of the various morphological operations and is divided into four chapters. The first chapter deals with basic concepts used in morphology and basic operations on binary and gray-tone images. The second chapter deals with the segmentation threshold, which is relevant for pre-treatment image. The third chapter describe the basic methods for filling areas. The last chapter deals with various functions necessary to implement the various operations in the sample application. The second part contains the actual implementation of applications.
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Towards the Automatic Design of Image Filters Based on Cartesian Genetic Programming
Kečkéš, Miroslav ; Uher, Václav (oponent) ; Karásek, Jan (vedoucí práce)
The aim of this diploma thesis is using cartesian genetic programming on design image filters and creating basic structure for implement diferent type of problems. Genetic programming is rapidly growing method, which often using for solve dificult problems. This thesis analyze basic principle, way of application and implementing this method to design filters. Result of this thesis is program realize design filters define by specific parameters, overview of implementig method and achieve summary from this sphere.
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Application for Implementation of Digital Images Morphological Transformations
Kečkéš, Miroslav ; Beneš, Radek (oponent) ; Říha, Kamil (vedoucí práce)
This thesis deals with the implementation of basic morphological operations on binary and gray-tone digital images. Partly devoted to filling in areas and thresholding, as the basic method of segmentation. The thesis is divided into two parts. The first part deals with the theoretical analysis of the various morphological operations and is divided into four chapters. The first chapter deals with basic concepts used in morphology and basic operations on binary and gray-tone images. The second chapter deals with the segmentation threshold, which is relevant for pre-treatment image. The third chapter describe the basic methods for filling areas. The last chapter deals with various functions necessary to implement the various operations in the sample application. The second part contains the actual implementation of applications.
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Towards the Automatic Design of Image Filters Based on Cartesian Genetic Programming
Kečkéš, Miroslav ; Uher, Václav (oponent) ; Karásek, Jan (vedoucí práce)
The aim of this diploma thesis is using cartesian genetic programming on design image filters and creating basic structure for implement diferent type of problems. Genetic programming is rapidly growing method, which often using for solve dificult problems. This thesis analyze basic principle, way of application and implementing this method to design filters. Result of this thesis is program realize design filters define by specific parameters, overview of implementig method and achieve summary from this sphere.
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