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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Color images segmentation using artificial neural networks
 Zátopek, Michal ; Jirsík, Václav (referee) ; Hynčica, Tomáš (advisor)
The bachelor’s thesis deals with possibilities of using artificial neural networks in the color image segmentation. It describes artificial neural networks generally from the basics. First, the analysis focuses on basic models used for segmentation of color images and compares them. From these networks the most suitable candidate is selected for a solution of the problem (image segmentation with a dedicated object of interest). It also deals with a description of some color models used to represent colors. These models are compared and on the basis of their properties is selected the most appropriate model. Based on previous selections, neural networks and color space an application for the segmentation of the input image is created. With its help the selected color model is tested in terms of segmentation quality.
Detailed record
Color images segmentation using artificial neural networks
 Zátopek, Michal ; Jirsík, Václav (referee) ; Hynčica, Tomáš (advisor)
The bachelor’s thesis deals with possibilities of using artificial neural networks in the color image segmentation. It describes artificial neural networks generally from the basics. First, the analysis focuses on basic models used for segmentation of color images and compares them. From these networks the most suitable candidate is selected for a solution of the problem (image segmentation with a dedicated object of interest). It also deals with a description of some color models used to represent colors. These models are compared and on the basis of their properties is selected the most appropriate model. Based on previous selections, neural networks and color space an application for the segmentation of the input image is created. With its help the selected color model is tested in terms of segmentation quality.
Detailed record

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