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Segmentation of structure in medical images is an important research
topic. It has applications in patient diagnoses, image-guided
surgery, and medical data visualization. One approach to solving this
problem is the use of active contours or \s
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SEG_FUZZY is a soft thresholding method for image segmentation. The method is based on relating each pixel in the image to the different regions via a membership function, rather than through hard decisions. The membership function of each of the reg
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基于压缩感知的图像分割，小波变换与OMP算法，最后由最大类间方差法作为分割手段-Compressed sensing image segmentation based on wavelet transform and OMP algorithm, and finally by the Otsu method as a means of dividing
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a new mathematical and algorithmic
framework for unsupervised image segmentation, which is a
critical step in a wide variety of image processing applications.
We have found that most existing segmentation methods are
not successful on histopa
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IKAnalyzer是一个开源的，基于java语言开发的轻量级的中文分词工具包。从2006年12月推出1.0版开始，IKAnalyzer已经推出了3个大版本。最初，它是以开源项目Luence为应用主体的，结合词典分词和文法分析算法的中文分词组件。新版本的IKAnalyzer3.0则发展为面向Java的公用分词组件，独立于Lucene项目，同时提供了对Lucene的默认优化实现。
-IKAnalyzer is an open source, lightweight java-based de
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Secondly，the stereo matching way based on feature has been studied，takes the
preprocess method fit for the task．In image segmentation，this paper proposes serfadaptive
threshold method which has been changed a bit to make it more suitable for the
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