Abstract. Vectorizing a bitmap image involves converting a raster image, composed of pixels, into a vector format consisting of paths or mathematical equations. This process allows for scalability and flexibility, as vector images can be resized without losing quality or becoming pixelated. In this article, we explore different techniques and approaches for vectorizing bitmap images, highlighting their benefits and limitations. Firstly, we delve into automated vectorization algorithms that use mathematical algorithms to trace the edges and colors of a bitmap image. These algorithms analyze the pixel values and attempt to recreate the image in a vector format. We discuss common techniques such as edge detection, color clustering, and region segmentation, evaluating their effectiveness in producing accurate vector representations. Next, we explore manual vectorization methods, which involve manually tracing or recreating the image using vector tools in graphic design software. We discuss the advantages of manual vectorization, such as greater control over detail and precision, as well as the additional time and effort required for this approach.
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