The tool then applies techniques such as object segmentation and foreground-background separation to isolate the foreground from the background.ĭeep learning-based image segmentation is one of the fundamental methods used for AI-based background removal. The process begins with an image analysis that involves object and region detection. Vectornator's background removal feature employs advanced image processing techniques to achieve impressive results. This feature is a game-changer for designers and non-designers looking to simplify their creative process and produce professional-quality results. Combining the isolated foreground image with new designs and pictures allows the possibilities for creative expression to be limitless. Moreover, the tool can effectively separate irregular foreground shapes against complex backgrounds, producing sharp, clean outlines of the isolated foreground image. The tool also demonstrates impressive accuracy and precision, successfully isolating challenging areas such as fur, hair, and intricate patterns without the need for additional editing. Users can quickly separate the foreground element from its background with just one click without making any complicated adjustments. The new design software is easy to use, requiring little to no design experience. This update makes Vectornator a strong alternative to Adobe Illustrator, especially for new design software users. Vectornator has recently released its 4.13.0 update, which includes an exciting new AI-powered background removal feature for raster images.
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