Drawing vectorization: how it works
Summary
This article explains how a vectorization function converts raster images into editable vector geometry. It walks through binarization, noise cleanup, skeletonization, polyline extraction, and geometric simplification. It also describes the use of Qt and OpenCV to handle image processing, previewing, and final graphic object creation. The piece highlights practical uses such as plans, technical diagrams, maps, and drawings, while noting that output quality depends heavily on the input image.
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