Image-Based Testing

Flexible, Configurable Image-Based Lookups

In those cases for which Object-based recognition is not suitable, the Squish GUI Tester offers an Image-based recognition approach.

Image-based testing is a software testing technique that uses images, screenshots, or visual elements to validate the functionality, appearance, and behavior of an application. It focuses on ensuring that the graphical user interface (GUI) looks and operates as intended from the user's perspective. This method is particularly useful in GUI-heavy applications where the visual correctness is critical.

Image-based testing is best used for applications with custom controls, applications built with unsupported toolkits for which object properties are not readily available, or 2D/3D graphics or plots, such as medical imaging data.

The Squish GUI Tester is often the preferred test automation tool, owing to its support of both Object- and Image-based recognition methods, which can be used in a complimentary manner.

• Highly configurable Image-based lookups (per-pixel tolerance, image cross-correlation, multi-scale image lookups)
• Use of image groups to represent a single UI object (e.g., for those components that have differing appearances due to different rendering styles or cross-platform tests)
• Powerful Fuzzy Image Search