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The random walker algorithm was introduced in the paper:
Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Compute
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图像分割在实际中已得到广泛的应用，例如在工业自动化，在线产品检验，生产程控，文件图像处理，遥感和生物医学图像分析，保安监视，以及军事、体育、农业工程等方面。概括来说，在各种图像应用中，只要需对图像目标进行提取、测量等都离不开图像分割，分割的准确性直接影响后续任务的有效性，因此图像分割具有十分重要的意义。-Image segmentation has been widely in practical applications, such as industrial automation, on-l
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This chapter gives an introduction to the methods of biomedical image
processing. After some fundamental preliminary remarks to the terminology used,
medical imaging modalities are introduced (Sect. 1.2). Sections 1.3 and 1.4 deal
with low-leve
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The random walker algorithm was introduced in the paper:
Leo Grady and Gareth Funka-Lea, "Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials", in Proceedings of the 8th ECCV04, Workshop on Compute
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PAPERS FOR BIOMEDICAL IMAGE SEGMENTATION
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数字图像处理（Digital Image Processing）是通过计算机对数字图像进行变换、增强、复原、分割及匹配等处理的方法和技术，在航空航天、生物医学工程、工业检测、机器人视觉、公安司法、导航制导、安保监控及文化艺术等诸多领域有着极为广泛的应用。数字图像处理技术的研究和应用离不开程序设计，Visual C++则是最有力、最常用的数字图像处理程序开发工具之一-Digital image processing (Digital Image Processing) is a computer
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The sequel to the popular lecture book entitled Biomedical Image Analysis: Tracking, this book on Biomedical Image Analysis: Segmentation tackles the challenging task of segmenting biological and medical images. The problem of partitioning multidimen
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A simple algorithm for Erythrocyte (RBC) segmentation peripheral blood smear images.
Function takes the green component of RGB image as input.
article:
M. Jahanifar et al., Automatic Zone Identification in Blood Smear Images Using Optimal Se
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论文U-Net: Convolutional Networks for Biomedical Image Segmentation的实现代码，使用Unet卷积神经网络，实现了细胞的轮廓识别。使用Python代码，keras框架。
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