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Sistem za testiranje uporabniškega vmesnika vgradnega računalniškega sistema
VAČOVNIK, MARKO (Author), Perš, Janez (Mentor) More about this mentor... This link opens in a new window

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Abstract
Grafični uporabniški vmesniki so zelo pomemben del naprav z zaslonom. Testiranje vmesnikov je v okviru razvoja programske opreme nepogrešljivo, kar pa predstavlja velik časovni in finančni vložek. Iz teh razlogov je smiselno kar se le da velik del testiranja avtomatizirati. Delo opisuje preverjanje pravilnosti prikaza receptov in njim pripadajočih nastavitev, ki so del uporabniškega vmesnika pečice z LCD zaslonom, občutljivim na dotik. Za preverjanje izpisanega besedila je uporabljen odprtokodni optični razpoznavalnik besedila Tesseract OCR, za preverjanje izrisanih slik pa primerjava HOG deskriptorjev. Za uspešno preverjanje posameznih segmentov je potrebna kvalitetna segmentacija slike, ki je izvedena s pomočjo detekcije robov, morfoloških operacij in odkrivanja povezanih komponent.

Language:Slovenian
Keywords:preverjanje uporabniškega vmesnika, Tesseract OCR, HOG deskriptor, povezane komponente, momenti
Work type:Master's thesis/paper (mb22)
Organization:FE - Faculty of Electrical Engineering
Year:2017
Views:427
Downloads:424
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Secondary language

Language:English
Title:System for Testing the Graphical User Interface of an Embedded Computer System
Abstract:
Graphical user interface (GUI) is a principal part of any device with screen. GUI testing is an essential element within a software developing process, representing massive time and financial input. Considering those reasons it seems rational to automate as large part of testing as possible. This work describes a GUI testing tool for recipes and related settings. They are a part of user interface of an oven with LCD touch-screen. For checking correctness of printed text, an open-source optical character recognition tool Tesseract OCR is used, while image checking is based on comparison of HOG descriptors. In order to achieve a good checking of individual segments, a quality segmentation of image is needed. It is carried out with a help of edge detection, morphological operations and connected components labeling.

Keywords:GUI testing, Tesseract OCR, HOG descriptor, connected components labeling, moments

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