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图象分割是图象处理中的一项重要工作，目前手工与自动相结合的分割方法在实际工作中得到了广泛应用。本文根据图象经Maar变换后的特征，采用新的判断准则，提出了一种复杂物体边缘定位算法，可以对具有尖角特征的物体轮廓进行快速准确地提取，同时利用矢量化方法消除毛刺，使跟踪获得的边界更符合物体的实际轮廓特征。对多种图象的实验表明本文方法十分有效。-Image segmentation is an important image processing, the current combination of m
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为了减少alpha-expansion算法的计算量，本文在标号为alpha的像素向其它像素膨胀的过程中，先隔离非alpha类间的联系，而只考虑alpha类与非alpha类之间的关系，从而避免alpha-expansion算法需要构造辅助结点的问题，减少了s/t图中边的数目，提高了算法的计算效率。因放松了非alpha类间的关系对alpha膨胀的约束，使得算法可以更容易得跳出能量函数的局部极小点而获得更优的分割结果。-In order to reduce alpha- expansion algor
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CBIR-Two novel contributions to Content Based Image Retrieval are presented and
discussed. The fi rst is a search engine for font recognition. The intended usage
is the search in very large font databases. The input to the search engine is a
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Two novel contributions to Content Based Image Retrieval are presented and
discussed. The fi rst is a search engine for font recognition. The intended usage
is the search in very large font databases. The input to the search engine is an
i
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threshold is a key technique for the segmentation and edge detection in an image for image processing. Here in this file the threshold is on the based of the maximum entropy of an image using shannon entropy method.
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图像分割就是把图像分成若干个特定的、具有独特性质的区域并提出感兴趣目标的技术和过程。它是由图像处理到图像分析的关键步骤。现有的图像分割方法主要分以下几类：基于阈值的分割方法、基于区域的分割方法、基于边缘的分割方法-Image segmentation is the image into a number of specific, region with unique properties and proposed technologies and processes target of inte
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出了基于
ELM的医学图像的分割技术，结合滤波去噪、形态学提取和边缘检测等图像处理方法，设计了一种应用于CT图像
的轮廓描绘方法。-Based on a medical image segmentation ELM technology, combined with filtering de-noising, Morphology and edge detection image processing method is applied to design a CT image cont
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