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6th International Conference on Image Processing and its Applications
In this paper we study a non-linear diffusion process to reduce the influence of noise in the watershed segmentation of an image. Instead of the squared amplitude of the gradient that is traditionally used to drive the non-linear diffusion, we use the Teager energy, which is known to be less sensitive to noise. To evaluate the performance of the segmentation processes studied in this paper, we introduce an objective measure to assess the quality of a segmentation when the ground truthdoi:10.1049/cp:19970894 fatcat:32culfefmncfnifmdbevn76rk4