Thesis Details
Měření rozměrů rovinných objektů v obraze
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.
objects measurement, image processing, OpenCV, Python, PyQt
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Kočí Radek, Ing., Ph.D. (DITS FIT BUT), člen
@bachelorsthesis{FITBT17000, author = "P\v{r}emysl Ml\'{y}nek", type = "Bachelor's thesis", title = "M\v{e}\v{r}en\'{i} rozm\v{e}r\r{u} rovinn\'{y}ch objekt\r{u} v obraze", school = "Brno University of Technology, Faculty of Information Technology", year = 2019, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/17000/" }