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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Planar Object Measurement in Image
 Mlýnek, Přemysl ; Veľas, Martin (referee) ; Beran, Vítězslav (advisor)
The aim of this work is to measure furniture doors using image processing and calculating the price of new doors from measured dimensions. The work is solved using OpenCV library and Python programming language. The core of the work is based on the FloodFill algorithm and Hough transforms. The graphical user interface is solved using the PyQt library. When obtaining the measurements of the furniture door, the following procedure is used - acquisition of a data set, imagine preprocessing, object segmentation, object classification, measurement of individual objects, output of measurement results and output price calculation. I have created a solution in the form of a desktop application that accepts an image at the input and outputs the measured dimensions along with the price of the new door. I managed to achieve an average deviation of 6 mm from real dimensions. This work has helped me understand the basics of image processing. An ordinary user of the application will be able to estimate the price of new furniture doors just based on a photo.
Detailed record
Planar Object Measurement in Image
 Mlýnek, Přemysl ; Veľas, Martin (referee) ; Beran, Vítězslav (advisor)
The aim of this work is to measure furniture doors using image processing and calculating the price of new doors from measured dimensions. The work is solved using OpenCV library and Python programming language. The core of the work is based on the FloodFill algorithm and Hough transforms. The graphical user interface is solved using the PyQt library. When obtaining the measurements of the furniture door, the following procedure is used - acquisition of a data set, imagine preprocessing, object segmentation, object classification, measurement of individual objects, output of measurement results and output price calculation. I have created a solution in the form of a desktop application that accepts an image at the input and outputs the measured dimensions along with the price of the new door. I managed to achieve an average deviation of 6 mm from real dimensions. This work has helped me understand the basics of image processing. An ordinary user of the application will be able to estimate the price of new furniture doors just based on a photo.
Detailed record

See also: similar author names
1 Mlýnek, P.
6 Mlýnek, Petr
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