Abstract
When certain conditions of an existing figure's physical shape and location are satisfied,we perceive contour lines or figures that do not exist.This phenomenon is called a subjective contour,and its study is highly relevant to the spatial interpolation problem.Our purpose is to propose an algorithm that simulates subjective contours from digital images.This model estimates the possibility of the existence of an illusory figure's contour that is perceived to be nearer than the image.The model then outputs a subjective contour when the value smoothly connects the gaps between figures and has continuity.This model is capable of handling contours of both closed and segmented lines and generates curved contours.After explaining the algorithm,we show several simulation results and discuss generated contour shapes and their problems.
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