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Date issued
Authors
Šebek, Libor
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoká škola báňská - Technická univerzita Ostrava
Location
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Abstract
The purpose of this thesis is comparison and selection of the optimum detector objects in the image to detect the pressure vessels on the deck of truck. The tested detectors are Cascade classifier, SVM and Hough transform. The thesis deals with theoretical analysis of available detection methods. The following is a dedicated to tests applications that demonstrate the functionality of the detection methods. The conclusion is stated evaluate the effectiveness and speed of detection methods. Testing applications are implemented in C++ programming language using OpenCV library.
Description
Import 05/08/2014
Subject(s)
detector, recognition, OpenCV, SVM, Support vector machine, ADABoost, Cascade classifier, Haar, HOG, Histogram of oriented gradients, feature, descriptor, classifier, pressure vessel