Jianbo Shi, Serge J. Belongie, T. Leung, Jitendra Malik
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引用次数: 58
摘要
我们提出了一个基于Shi和Malik提出的规范化切割框架的分割系统(参见Proc. IEEE Conf. Computer Vision and Pattern Recognition, San Juan, Puerto Rico, p.731- 77,1997)。我们的目标是从一个大的角度来划分图像。首先检测感知上显著的群体，然后处理小的变化和细节。在一个统一的框架中处理不同的图像特征-强度，颜色，纹理，轮廓连续性，运动和立体视差。
Image and video segmentation: the normalized cut framework
We propose a segmentation system based on the normalized cut framework proposed by Shi and Malik (see Proc. IEEE Conf. Computer Vision and Pattern Recognition, San Juan, Puerto Rico, p.731-7, 1997). The goal is to partition the image from a big picture point of view. Perceptually significant groups are detected first while small variations and details are treated later. Different image features-intensity, color, texture, contour continuity, motion and stereo disparity are treated in one uniform framework.
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