Bonnici, AlexandraCamilleri, KennethLevent Burak Kara and Cindy Grimm2016-02-182016-02-182013978-1-4503-2205-81812-3503https://doi.org/10.1145/2487381.2487386Vectorization algorithms described in the literature assume that the drawings being vectorized are either binary images or have a clear white background. Sketches of artistic objects however also contain shadows which help the artist to portray intent, particularly in potentially ambiguous sketches. Such sketches are difficult to binarise since the shading strokes make these sketches non bimodal. For this reason, we describe a circle-based vectorization algorithm that uses signatures obtained from sample points on the line strokes to identify and vectorize the line strokes in the sketch. We show that the proposed algorithm performs as well as other vectorization techniques described in the literature, despite the shadows present in the sketch.CR CategoriesI.4.3 [Image Processing and Computer Vision]EnhancementGrayscale manipulationI.4.6 [Image Processing and Computer Vision]SegmentationEdge and feature detectionKeywordsvectorizationshadowssketches10.1145/2487381.248738669-78