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Coupling of images
Bárnet, Lukáš ; Číp, Pavel (referee) ; Richter, Miloslav (advisor)
The Diploma thesis is concerned with coupling of images. In the first part theoretical bases necessary for successful fulfilling of the assignment are described. The second part deals with the procedures that lead to composition of the jigsaw puzzle. The last part concentrates on controlling the program. The aim of the thesis is to propound an algorithm for solving a puzzle.
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Coupling of images
Nováček, Petr ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
The thesis deals with coupling of non-overlapping images with square parts. The target of this thesis is a design of an algorithm for coupling of images based on color similarity of individual parts edges. A genetic algorithm has been chosen for coupling of images. The first part of this thesis lists the theory of image processing and genethic algorithms. The second part deals with applied procedures for image processing and with design of genetic algorithm. The last part is devoted to an evaluation of results of the applied algorithms.
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Coupling of images
Gorgol, Martin ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
This master’s thesis describes the design and implementation of the application that created the basis set pieces "puzzle" according to the shape of the folded edges of the original image. This application is developed using Matlab. The work also describes how to create a database of actual pieces of the puzzle composite photo image. Closer was also focused on finding the characteristic section points, their segmentation and appropriate description. There is dismantled procedure for selecting the types of symptoms and their extraction. On the basis of suitably described pieces of segmented parts is designed and implemented the algorithm of comparing and grouping into clusters. Using the proposed method of visualization is then displayed in the resulting composite picture puzzle.
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Coupling of images
Gorgol, Martin ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
This master’s thesis describes the design and implementation of the application that created the basis set pieces "puzzle" according to the shape of the folded edges of the original image. This application is developed using Matlab. The work also describes how to create a database of actual pieces of the puzzle composite photo image. Closer was also focused on finding the characteristic section points, their segmentation and appropriate description. There is dismantled procedure for selecting the types of symptoms and their extraction. On the basis of suitably described pieces of segmented parts is designed and implemented the algorithm of comparing and grouping into clusters. Using the proposed method of visualization is then displayed in the resulting composite picture puzzle.
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|
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Coupling of images
Nováček, Petr ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
The thesis deals with coupling of non-overlapping images with square parts. The target of this thesis is a design of an algorithm for coupling of images based on color similarity of individual parts edges. A genetic algorithm has been chosen for coupling of images. The first part of this thesis lists the theory of image processing and genethic algorithms. The second part deals with applied procedures for image processing and with design of genetic algorithm. The last part is devoted to an evaluation of results of the applied algorithms.
|
|
|
Coupling of images
Gorgol, Martin ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
This master’s thesis describes the design and implementation of the application that created the basis set pieces "puzzle" according to the shape of the folded edges of the original image. This application is developed using Matlab. The work also describes how to create a database of actual pieces of the puzzle composite photo image. Closer was also focused on finding the characteristic section points, their segmentation and appropriate description. There is dismantled procedure for selecting the types of symptoms and their extraction. On the basis of suitably described pieces of segmented parts is designed and implemented the algorithm of comparing and grouping into clusters. Using the proposed method of visualization is then displayed in the resulting composite picture puzzle.
|
|
|
Coupling of images
Gorgol, Martin ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
This master’s thesis describes the design and implementation of the application that created the basis set pieces "puzzle" according to the shape of the folded edges of the original image. This application is developed using Matlab. The work also describes how to create a database of actual pieces of the puzzle composite photo image. Closer was also focused on finding the characteristic section points, their segmentation and appropriate description. There is dismantled procedure for selecting the types of symptoms and their extraction. On the basis of suitably described pieces of segmented parts is designed and implemented the algorithm of comparing and grouping into clusters. Using the proposed method of visualization is then displayed in the resulting composite picture puzzle.
|
|
|
Coupling of images
Bárnet, Lukáš ; Číp, Pavel (referee) ; Richter, Miloslav (advisor)
The Diploma thesis is concerned with coupling of images. In the first part theoretical bases necessary for successful fulfilling of the assignment are described. The second part deals with the procedures that lead to composition of the jigsaw puzzle. The last part concentrates on controlling the program. The aim of the thesis is to propound an algorithm for solving a puzzle.
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