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A Global Inhomogeneous Intensity Clustering- (GINC-) Based Active Contour Model for Image Segmentation and Bias Correction

机译：基于全局非均匀强度聚类 - （GINC-）的图像分割和偏压校正的主动轮廓模型

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Chaolu Feng; Jinzhu Yang; Chunhui Lou; Wei Li; Kun Yu; Dazhe Zhao;
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1. A Global Inhomogeneous Intensity Clustering- (GINC-) Based Active Contour Model for Image Segmentation and Bias Correction [J] . Chaolu Feng, Jinzhu Yang, Chunhui Lou, Computational and mathematical methods in medicine . 2020,第1期

机译：基于全局非均匀强度聚类 - （GINC-）的图像分割和偏压校正的主动轮廓模型
2. Local difference-based active contour model for medical image segmentation and bias correction [J] . Niu Yuefeng, Cao Jianzhong Image Processing, IET . 2019,第10期

机译：基于局部差异的主动轮廓模型用于医学图像分割和偏差校正
3. A Novel Active Contour Model for Image Segmentation and Bias Correction Using Guided Image Filtering Regularization Term [J] . Wang Haijun, Liu Ming International Journal of Pattern Recognition and Artificial Intelligence . 2017,第7期

机译：使用引导图像滤波正则项的图像分割和偏差校正的新型主动轮廓模型
4. Additive Local and Global Intensity based Active Contour Model for Inhomogeneous Image Segmentation [C] . Shuai Yuan, Patrice Monkam, Sufang li, 2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems . 2017

机译：基于加性局部和全局强度的主动轮廓模型，用于不均匀图像分割
5. An improved active contour model for medical images segmentation. [D] . Al-Sharif, Sharif Mohammad Saleh. 2010

机译：用于医学图像分割的改进的主动轮廓模型。
6. A Global Inhomogeneous Intensity Clustering- (GINC-) Based Active Contour Model for Image Segmentation and Bias Correction [O] . Chaolu Feng, Jinzhu Yang, Chunhui Lou, 2020

机译：基于全局非均匀强度聚类 - （GINC-）的图像分割和偏压校正的主动轮廓模型
7. Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation [O] . Shafiullah Soomro, Farhan Akram, Jeong Heon Kim, 2016

机译：活性轮廓使用添加剂局部和全局强度拟合模型，用于强度不均匀图像分割

A Global Inhomogeneous Intensity Clustering- (GINC-) Based Active Contour Model for Image Segmentation and Bias Correction

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