A Java library for comparing two images of the same size, visually highlighting differences with configurable rectangles, ideal for automated QA testing.
Image-comparison is a Java library that compares two images of identical dimensions and visually highlights differences by drawing rectangles around them. It solves the problem of detecting visual regressions in applications by providing a programmatic way to validate image consistency. The library is configurable, allowing exclusion of specific areas and adjustment of pixel tolerance levels.
Java developers and QA engineers building automated visual testing pipelines, particularly those working on applications where UI consistency is critical.
Developers choose Image-comparison for its simplicity, lack of external dependencies, and fine-grained configurability, making it a reliable and lightweight tool for integrating visual comparison into automated tests.
Published on Maven Central Java Library that compares 2 images with the same sizes and shows the differences visually by drawing rectangles. Some parts of the image can be excluded from the comparison. Can be used for automation QA tests.
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Uses only standard Java libraries, eliminating external dependency conflicts and simplifying deployment in constrained environments.
Offers fine-grained control with properties like pixelToleranceLevel and excludedAreas, allowing adaptation to various comparison scenarios.
Generates annotated result images with rectangles highlighting differences, making it easy to visually identify and debug issues.
Designed for QA integration with a simple API, fitting seamlessly into Java testing frameworks like JUnit for regression testing.
Only compares images with identical dimensions, requiring manual preprocessing like resizing or cropping, which adds overhead.
Relies solely on RGB pixel diffing without advanced techniques like structural similarity or image alignment, limiting effectiveness for perceptual changes.
With over a dozen configurable properties, setting up simple comparisons can be verbose and error-prone for quick use cases.