Abstract：How to simulate the human visual perception system in order to build a robust and unsupervised computational model for salient edges detection on object contours in natural images is the main content in this paper. Firstly, the salient object sub-region is determined. Secondly, the low-level visual features of texture and color are analyzed to obtain a group of potential salient contour edges. Next, a graph model is established by analyzing the closure between any two potential salient edges. Finally, Dijkstras algorithm is used to obtain the salient contour edges. The experimental results of natural images show the proposed model is feasible and its biological rationality is verified.
薄一航，罗四维，邹琪. 自然图像中目标轮廓上显著边缘检测的计算模型[J]. 模式识别与人工智能, 2010, 23(6): 752-758.
BO Yi-Hang,LUO Si-Wei,ZOU Qi. A Computational Model of Salient Edges Detection on Object Contour in Natural Images. , 2010, 23(6): 752-758.
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