CN103198489B - 基于显著性密度与边缘响应的显著物体自动检测方法 - Google Patents
基于显著性密度与边缘响应的显著物体自动检测方法 Download PDFInfo
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Description
方法 | 本发明 | RCC |
平均运行时间(s) | 1.355 | 2.877 |
运行时间方差 | 0.013 | 0.016 |
代码 | C++ | C++ |
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CN104112138A (zh) * | 2013-12-17 | 2014-10-22 | 深圳市华尊科技有限公司 | 物体颜色分类方法及装置 |
US9633444B2 (en) | 2014-05-05 | 2017-04-25 | Xiaomi Inc. | Method and device for image segmentation |
CN106373162B (zh) * | 2015-07-22 | 2019-04-16 | 南京大学 | 一种基于显著性融合与传播的显著物体检测方法 |
CN106570830A (zh) * | 2016-09-29 | 2017-04-19 | 北京联合大学 | 一种基于GrabCut改进的图像分割方法 |
CN107239760B (zh) * | 2017-06-05 | 2020-07-17 | 中国人民解放军军事医学科学院基础医学研究所 | 一种视频数据处理方法及*** |
CN107527031B (zh) * | 2017-08-22 | 2021-02-05 | 电子科技大学 | 一种基于ssd的室内目标检测方法 |
Citations (2)
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US8363939B1 (en) * | 2006-10-06 | 2013-01-29 | Hrl Laboratories, Llc | Visual attention and segmentation system |
CN102999763A (zh) * | 2012-10-30 | 2013-03-27 | 上海交通大学 | 基于尺度选择的自顶向下的视觉显著性提取方法 |
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Patent Citations (2)
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US8363939B1 (en) * | 2006-10-06 | 2013-01-29 | Hrl Laboratories, Llc | Visual attention and segmentation system |
CN102999763A (zh) * | 2012-10-30 | 2013-03-27 | 上海交通大学 | 基于尺度选择的自顶向下的视觉显著性提取方法 |
Non-Patent Citations (2)
Title |
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Salient region detection combining spatial distribution and global contrast;Xin He等;《Optical Engineering》;20120430;第51卷(第4期);第047007-1-047007-4页 * |
基于视觉显著图的物体检测;杨磊等;《计算机应用》;20101231;第30卷;第82-85页 * |
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