Shape characterization with turning functions
نویسندگان
چکیده
The goal of image segmentation is to separate objects from a cluttered background. It is an important step on the identification of shapes contained in the image. A turning function is a 1D shape signature and can be used as a 2D shape representation. We propose a way to identify and modify classes of shapes by operating directly on the turning function space. In this work we present a formal definition of turning functions and a way to identify circles and lines in turning functions in order to find complex shape classes determined by user defined constraints.
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