Salient Object Contour Detection Based on Boundary Similar Region

Jin Zhan, B. Hu
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引用次数: 3

Abstract

Salient object contours are important cues for object detection and shape recognition in computer vision. We propose a novel contour detection method for salient object considering salient edges operator. The method traces continuous boundaries from salient edges, computes similar regions between boundaries with direction channel and distance by Boundary Similar Region (BSR) algorithm. Then we fill the boundary similar regions by linear interpolation method to ensure that boundaries belong to a same contour. We demonstrate our method applied to salient object segmentation. Experiments indicate that our method show better accuracy of salient object boundary. On the basis of edge manipulation, our method is compact and simple that performs efficiently.
基于边界相似区域的显著目标轮廓检测
在计算机视觉中,物体的显著轮廓是物体检测和形状识别的重要线索。提出了一种考虑显著边缘算子的显著目标轮廓检测方法。该方法从显著边缘开始跟踪连续边界,利用边界相似区域(BSR)算法计算具有方向通道和距离的边界之间的相似区域。然后用线性插值方法填充边界相似区域,保证边界属于同一轮廓;我们演示了我们的方法应用于显著目标分割。实验表明,该方法具有较好的显著目标边界提取精度。在边缘处理的基础上,该方法结构紧凑,操作简单,运算效率高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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