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Feature Detection for UI Testing
The document summarizes a test night event held by LINE Fukuoka to discuss UI test automation. The event covered testing browser, iOS, and Android applications using Selenium for browsers and Appium for mobile. Attendees learned about template matching and feature detection techniques for UI testing, including pixel-perfect template matching versus feature detection which is scale invariant and can match elements that are 30-200% different in size. The techniques discussed were demonstrated using A-KAZE feature detection with OpenCV3 in Java.
Feature Detection for UI Testing
- 1. HAKATA Test Night#1 Feature Detection for UI Testing 2018 / 12 / 14 LINE Fukuoka
- 2. • LINE Fukuoka •2 • • UI • • UI Test Automation • QA UI
- 3. ? ↓ E2E UI • Browser,iOS Application, Android Application • Browser Selenium, mobile Appium ↓ • •
- 4. Web browser AndroidAndroid
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- 10. Template Source • • TemplateSo urce ( screen shot) • • OpenCV
- 11. • Template Matching •Feature Detection
- 12. Template Matching • 1px template source • • Pixel perfect = display size template
- 13. Feature Detection • templatesour ce match • Scale • A-Kaze (http:// www.robesafe.com/personal /pablo.alcantarilla/papers/Al cantarilla13bmvc.pdf)
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