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We de¯ ne
a predicate for measuring the evidence for a boundary between two regions using a
graph-based representation of the image. We then develop an e±cient segmentation
algorithm based on this predicate, and show that although this algo
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This paper addresses the problem of segmenting an image into regions. We de¯ ne
a predicate for measuring the evidence for a boundary between two regions using a
graph-based representation of the image. We then develop an e±cient segmentation
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This paper proposes and evaluates a promising technique
used for liver segmentation that can be used as the first step in
liver treatment planning. It is based on texture feature
analysis obtained from 3D DCT block coefficients, support
vecto
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by traditional level set based segmentation models. In this paper, we propose a new level set
method integrating local and global intensity information adaptively to segment inhomogeneous images. The
local image information is associated with the
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Gray Level Edge Thinning Method
Abstract. An effective edge thinning algorithm is important in image segmentation and object identification since it increases the possibility of success in detecting objects in the image and saves the processing tim
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首先基于高斯模型进行目标分割，接着将分割出的前景信息作为跟踪目标，实现前景目标的实时跟踪。-Firstly, the target segmentation is performed based on the Gaussian model, and then the foreground information is used as the tracking target to realize the real-time tracking of the foreground target.
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人脸检测与跟踪是一个重要而活跃的研究领域，它在视频监控、生物特征识别、视频编码等领域有着广泛的应用前景。该项目的目标是在FPGA板上实现实时系统来检测和跟踪人脸。人脸检测算法包括肤色分割和图像滤波。通过计算被检测区域的质心来确定人脸的位置。该算法的软件版本独立实现，并在matlab的静止图像上进行测试。虽然从MATLAB到Verilog的转换没有预期的那样顺利，实验结果证明了实时系统的准确性和有效性，甚至在不同的光线、面部姿态和肤色的条件下也是如此。所有硬件实现的计算都是以最小的计算量实时完成的
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