An Improved Neural Network for Segmenting Objects' Boundaries in Real Images
نویسنده
چکیده
An important task in object recognition is to rst identify the boundaries of the objects in the input image. Several neural networks have been proposed to perform edge detection and boundary segmenta-tion. Among them, Grossberg and Mingolla's Boundary Contour System (BCS) seems promising because it is able to complete missing object boundaries. Although BCS has been shown to work well on synthetic and silhouette images, we found that it has some shortcomings when applied to real images. This paper presents an improved version of BCS for handling the shortcomings.
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تاریخ انتشار 1997