smart-image-slicer

Automatically slice a sprite sheet by using contour-based segmentation to detect multiple objects, isolating them, and removing the background to output individual transparent PNG sprites.

Separating multiple objects in a single image is best handled by contour-based segmentation, which detects distinct elements and exports them as isolated sprites with transparent backgrounds for animation frames.

Yes, you can configure object detection sensitivity using min_area, tolerance, and bg_threshold parameters, which include presets for common sprite sheet and hand-drawn asset use cases.

Background removal works effectively for hand-drawn assets and UI elements by analyzing local background colors and applying contour-based segmentation to produce clean, isolated sprites.

Contour-based segmentation may miss small objects if their area falls below the configured min_area threshold, filtering them out as noise rather than recognizing them as valid sprites.

You need Python with OpenCV, NumPy, and Pillow dependencies to run the automated image processing, detect objects via contours, and output transparent PNG sprites.