Nov 11, 2019   8:59 p.m. Martin
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Ing. Miroslav Hagara, PhD.
Identification number: 1914
University e-mail: miroslav.hagara [at]
Odborný asistent CSc.,PhD. - Institute of Electronics and Phototonics (FEEIT)

Contacts     Graduate     Lesson     Final thesis     Publications     Supervised theses     

Basic information

Basic information about a final thesis

Type of thesis: Dissertation thesis
Thesis title:New Method For Edge Detection In 1-D Images With Sub-pixel Accuracy
Written by (author): Ing. Miroslav Hagara, PhD.
Department: Institute of Electronics and Phototonics (FEEIT)
Thesis supervisor: doc. Ing. Peter Kulla, PhD.
Opponent 1:prof. Ing. Miloš Klíma, CSc.
Opponent 2:doc. Ing. Miroslav Hrianka, PhD.
Final thesis progress:Final thesis was successfully defended.

Additional information

Additional information about the final thesis follows. Click on the language link to display the information in the desired language.

Language of final thesis:Slovak

Slovak        English

Title of the thesis:New Method For Edge Detection In 1-D Images With Sub-pixel Accuracy
Summary:A new method for edge detection with sub-pixel accuracy in 1-D images is presented in this thesis work. This method is based on the approximation of the image around the edge with appropriate approximation function. At the beginning there are descriptions of the edge detection methods with pixel accuracy, as well as edge detection methods with sub-pixel accuracy in 1-D and 2-D images. The core of the work is the proposal of a new edge detection method with sub-pixel accuracy. The exact position of the edge is represented by one of the final parameters of approximation function, which are obtained by minimizing the objective function. An important part of the new method proposal is an estimation of the initial parameter values of approximation function that are necessary for finding minimum of objective function with some suitable iterative method. The proposed method is through the simulations and experiments compared with the three most precise and the most commonly used methods of sub-pixel edge localization in the 1-D images: moment-based edge operator, technique using spatial moments of the image function and the method based on wavelet transform of image. The methods are compared in terms of accuracy, the standard deviation of the edge localization error is chosen as precision criterion. There is one important result of simulations and experiments, relationship between values of standard deviation of edge localization error and blurring parameter sigma of the edge model. Second important conclusion is that the number of samples required to calculate sub-pixel edge position depends on blurring parameter sigma. The main advantage of the method proposed in this work is the higher accuracy in the case of blurred images.
Key words:erf function, sub-pixel accuracy, blurred image, edge detection

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