National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Online Image Editor
Vodák, Jakub ; Přibyl, Bronislav (referee) ; Svoboda, Pavel (advisor)
The purpose of this thesis is create application for online editation of static image. The main objective is user-friendly interface and simplicity. Basic graphic operations are available. The application allows you to create user accounts and the related ability to manipulate and share images. It is based on Adobe Flash and programming language ActionScript 3.0.
Optical Character Recognition at Camera Captured Images
Kindermann, Hubert ; Blažek, Jan (advisor) ; Kolomazník, Jan (referee)
We present solution of steps necessary for binarization and text lines detection contained in printed documents digitized by the camera. We introduce a normalization of non-uniform illumination method for text photographs. We propose input bitmap binarization algorithm based on two-dimensional probability pixel model which also considers its surrounding. We continue with description of robust text lines orientation detector based on optimization of risk function using first order derivatives of image function. In the end we present text lines detection and segmentation algorithm. Final shape of segmented lines is optimized with usage of graph algorithm. Powered by TCPDF (www.tcpdf.org)
Online Image Editor
Vodák, Jakub ; Přibyl, Bronislav (referee) ; Svoboda, Pavel (advisor)
The purpose of this thesis is create application for online editation of static image. The main objective is user-friendly interface and simplicity. Basic graphic operations are available. The application allows you to create user accounts and the related ability to manipulate and share images. It is based on Adobe Flash and programming language ActionScript 3.0.
Optical Character Recognition at Camera Captured Images
Kindermann, Hubert ; Blažek, Jan (advisor) ; Kolomazník, Jan (referee)
We present solution of steps necessary for binarization and text lines detection contained in printed documents digitized by the camera. We introduce a normalization of non-uniform illumination method for text photographs. We propose input bitmap binarization algorithm based on two-dimensional probability pixel model which also considers its surrounding. We continue with description of robust text lines orientation detector based on optimization of risk function using first order derivatives of image function. In the end we present text lines detection and segmentation algorithm. Final shape of segmented lines is optimized with usage of graph algorithm. Powered by TCPDF (www.tcpdf.org)

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