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1. 发明公开

EP2579211A2 Graph-based segmentation integrating visible and NIR information 有权
标题翻译：基于图形的分割，可见光和近红外信息集成
公开(公告)号：EP2579211A2
公开(公告)日：2013-04-10
申请号：EP12187071.1
申请日：2012-10-03
申请人： Xerox Corporation
发明人： Salamati, Neda , Larlus-Larrondo, Diane , Csurka, Gabriela , Saunders, Craig John
IPC分类号： G06T7/00
CPC分类号： G06T7/0087 , G06T7/143 , G06T7/162 , G06T2207/10048 , G06T2207/20072 , G06T2207/20076 , G06T2207/20081
摘要： A system and a method for segmenting an image are disclosed which can leverage different types of information from the image. An image to be segmented is received (S104). Unary potentials (S112) for pixels of the input image are extracted. These can be based for each of a set of possible labels, on information for a first channel in the image, such as in the visible range of the spectrum. Pairwise potentials are extracted (S114) for neighboring pairs of pixels of the image. These can be based on information for a second channel in the image, such as in the infrared range of the spectrum. An objective function is optimized over pixels of the input image to identify labels for the pixels. The objective function is based on a combination of ones of the extracted unary and pairwise potentials. The image is then segmented, based on the identified pixel labels. The method and system can provide an improvement in segmentation over methods which use only the visible information.

2. 发明公开

EP2579211A3 Graph-based segmentation integrating visible and NIR information 有权
标题翻译： Graphbasierte Segmentierung，die sichtbare und NIR information integriert
公开(公告)号：EP2579211A3
公开(公告)日：2014-05-07
申请号：EP12187071.1
申请日：2012-10-03
申请人： Xerox Corporation
发明人： Salamati, Neda , Larlus-Larrondo, Diane , Csurka, Gabriela , Saunders, Craig John
IPC分类号： G06T7/00
CPC分类号： G06T7/0087 , G06T7/143 , G06T7/162 , G06T2207/10048 , G06T2207/20072 , G06T2207/20076 , G06T2207/20081
摘要： A system and a method for segmenting an image are disclosed which can leverage different types of information from the image. An image to be segmented is received (S104). Unary potentials (S112) for pixels of the input image are extracted. These can be based for each of a set of possible labels, on information for a first channel in the image, such as in the visible range of the spectrum. Pairwise potentials are extracted (S114) for neighboring pairs of pixels of the image. These can be based on information for a second channel in the image, such as in the infrared range of the spectrum. An objective function is optimized over pixels of the input image to identify labels for the pixels. The objective function is based on a combination of ones of the extracted unary and pairwise potentials. The image is then segmented, based on the identified pixel labels. The method and system can provide an improvement in segmentation over methods which use only the visible information.
摘要翻译：公开了一种用于分割图像的系统和方法，其可以利用来自图像的不同类型的信息。接收要分割的图像（S104）。提取输入图像的像素的一次电位（S112）。这些可以基于用于图像中的第一通道的信息的一组可能的标签中的每一个，例如在可见光谱范围内。对于图像的相邻像素对，提取成对电位（S114）。这些可以基于图像中的第二通道的信息，例如在光谱的红外范围中。在输入图像的像素上优化目标函数以识别像素的标签。目标函数基于提取的一元和成对电位的组合。然后基于所识别的像素标签来分割图像。该方法和系统可以提供仅使用可见信息的方法的分割的改进。

3. 发明授权

EP2579211B1 Graph-based segmentation integrating visible and NIR information 有权
标题翻译：基于图形的分割，可见光和近红外信息集成
公开(公告)号：EP2579211B1
公开(公告)日：2015-12-30
申请号：EP12187071.1
申请日：2012-10-03
申请人： Xerox Corporation
发明人： Salamati, Neda , Larlus-Larrondo, Diane , Csurka, Gabriela , Saunders, Craig John
IPC分类号： G06T7/00
CPC分类号： G06T7/0087 , G06T7/143 , G06T7/162 , G06T2207/10048 , G06T2207/20072 , G06T2207/20076 , G06T2207/20081

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