计算机科学 ›› 2018, Vol. 45 ›› Issue (11A): 256-258.
唐文杰, 朱家明, 徐丽
TANG Wen-jie, ZHU Jia-ming XU Li
摘要: 针对脑部MR图像中通常伴有灰度不均、高噪声的缺点,且传统水平集无法有效分割的问题,提出了一种基于NL-Means的双水平集算法。首先,利用改进型NL-Means算法对带有噪声的医学图像进行去噪处理,再通过双水平集算法对图像进行分割,提取多目标区域,为了去除医学图像中灰度不均对分割效果的影响,所提算法引入了偏移场拟合项,进一步改进了双水平集模型,进而对去噪图像分割效果进行了优化处理。实验结果表明,所提算法能有效地解决灰度不均与高噪声的问题,能够将伴有灰度不均的高噪声脑部MR图像完全分割出来,从而获得预期的分割效果。
中图分类号:
[1]AUJOL J F,CHAN T F.Combining geometrical and textured information to perform image classification[J].Journal of Visual Communication and Image Representation,2006,17(5):1004-1023. [2]VESE L A,CHAN T F.A multiphase level set framework for image segmentation using the mumford and shah model [J].International Journal of Computer Vision,2002,50(3):271-293. [3]詹天明,韦志辉,张建伟,等.脑MR图像分割和偏移场矫正的耦合水平集模型[J].中国图象图形学报,2011(11):2017-2023. [4]唐文杰,朱家明,张辉.多分辨率双水平集医学图像分割算法[J].计算机科学,2017,44(S2):189-192. [5]EFROS A A,LEUNG T K.Texture synthesis by non-parametric sampling[C]∥The Proceedings of the Seventh IEEE International Conference on Computer Vision.IEEE,1999,2:1033-1038. [6]ZHENG Y H,WEN X Z,TIAN W.2DPCA based nonlocal means filter[C]∥2010 IEEE 10th International Conference on Signal Processing (ICSP).IEEE,2010:996-999. [7]Boulanger J,Kervrann C,Bouthemy P.Adaptive spatio-temporal restoration for 4D fluorescence microscopic imaging[C]∥Medical Image Computing and Computer-Assisted Intervention(MICCAI 2005).2005:893-901. [8]QIAN S,WENG G.Medical image segmentation based on FCM and Level Set algorithm[C]∥IEEE International Conference on Software Engineering and Service Science.IEEE,2017:225-228. [9]WANG H,ZHUO Z,WU J,et al.Self-adaptive level set me-thods combined with geometric active contour[C]∥IEEE International Conference on Signal and Image Processing.IEEE,2017:578-581. [10]LI B N,CHUI C K,CHANG S,et al.Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation[J].Computers in Biology and Medicine,2011,41(1):1-10. [11]ZHANG X W,MA F C,HAO P F,et al.Mechanical behavior of pathological and normal red blood cells in microvascular flow based on modified level-set method[J].Science China(Physics,Mechanics & Astronomy),2016,59(1):72-80. |
[1] | 杜丽君, 唐玺璐, 周娇, 陈玉兰, 程建. 基于注意力机制和多任务学习的阿尔茨海默症分类 Alzheimer's Disease Classification Method Based on Attention Mechanism and Multi-task Learning 计算机科学, 2022, 49(6A): 60-65. https://doi.org/10.11896/jsjkx.201200072 |
[2] | 颜锐, 梁智勇, 李锦涛, 任菲. 基于深度学习和H&E染色病理图像的肿瘤相关指标预测研究综述 Predicting Tumor-related Indicators Based on Deep Learning and H&E Stained Pathological Images:A Survey 计算机科学, 2022, 49(2): 69-82. https://doi.org/10.11896/jsjkx.210900140 |
[3] | 叶中玉, 吴梦麟. 融合时序监督和注意力机制的脉络膜新生血管分割 Choroidal Neovascularization Segmentation Combining Temporal Supervision and Attention Mechanism 计算机科学, 2021, 48(8): 118-124. https://doi.org/10.11896/jsjkx.200600150 |
[4] | 王建明, 黎向锋, 叶磊, 左敦稳, 张丽萍. 基于信道注意结构的生成对抗网络医学图像去模糊 Medical Image Deblur Using Generative Adversarial Networks with Channel Attention 计算机科学, 2021, 48(6A): 101-106. https://doi.org/10.11896/jsjkx.200600144 |
[5] | 王丽芳, 王蕊芳, 蔺素珍, 秦品乐, 高媛, 张晋. 基于双残差超密集网络的多模态医学图像融合 Multimodal Medical Image Fusion Based on Dual Residual Hyper Densely Networks 计算机科学, 2021, 48(2): 160-166. https://doi.org/10.11896/jsjkx.200400095 |
[6] | 李昌兴, 雷柳, 张晓璐. 基于形态学图像增强和PCNN的脑部CT与MRI图像融合 Brain CT and MRI Image Fusion Based on Morphological Image Enhancement and PCNN 计算机科学, 2020, 47(10): 194-199. https://doi.org/10.11896/jsjkx.190700185 |
[7] | 王丽芳, 史超宇, 蔺素珍, 秦品乐, 高媛. 基于联合图像块聚类自适应字典学习的多模态医学图像融合 Multi-modal Medical Image Fusion Based on Joint Patch Clustering of Adaptive Dictionary Learning 计算机科学, 2019, 46(7): 238-245. https://doi.org/10.11896/j.issn.1002-137X.2019.07.036 |
[8] | 刘晓虹, 朱玉全, 刘哲, 宋余庆, 朱, 彦, 袁德琪. 基于改进多尺度LBP算法的肝脏CT图像特征提取方法 Liver CT Image Feature Extraction Method Based on Improved Multi-scale LBP Algorithm 计算机科学, 2019, 46(3): 125-130. https://doi.org/10.11896/j.issn.1002-137X.2019.03.018 |
[9] | 王楠, 李智, 程欣宇, 陈怡. 基于回归型支持向量机的医学图像可视可逆水印算法 Reversible Visible Watermarking Algorithm for Medical Image Based on Support Vector Regression 计算机科学, 2018, 45(9): 195-201. https://doi.org/10.11896/j.issn.1002-137X.2018.09.032 |
[10] | 刘庆烽, 刘哲, 宋余庆, 朱彦. 基于约束随机游走的肿瘤图像分割方法 Tumor Image Segmentation Method Based on Random Walk with Constraint 计算机科学, 2018, 45(7): 243-247. https://doi.org/10.11896/j.issn.1002-137X.2018.07.042 |
[11] | 楼浩锋, 张端. 高斯过程下的CMA-ES在医学图像配准中的应用 Gaussian Process Assisted CMA-ES Application in Medical Image Registration 计算机科学, 2018, 45(11A): 234-237. |
[12] | 唐思源,邢俊凤,杨敏. 基于BP神经网络的医学图像分割新方法 New Method for Medical Image Segmentation Based on BP Neural Network 计算机科学, 2017, 44(Z6): 240-243. https://doi.org/10.11896/j.issn.1002-137X.2017.6A.055 |
[13] | 张辉,朱家明,唐文杰. 基于聚类和改进型水平集的图像分割算法 Image Segmentation Algorithm Based on Clustering and Improved Double Level Set 计算机科学, 2017, 44(Z6): 198-201. https://doi.org/10.11896/j.issn.1002-137X.2017.6A.045 |
[14] | 唐文杰,朱家明,张辉. 多分辨率双水平集医学图像分割算法 Segmentation Algorithm of Medical Images Based on Multi-resolution Double Level Set 计算机科学, 2017, 44(Z11): 189-192. https://doi.org/10.11896/j.issn.1002-137X.2017.11A.039 |
[15] | 宋景琦,刘慧,张彩明. 基于自适应块聚类的医学图像超分辨重建 Medical Image Super Resolution Reconstruction Based on Adaptive Patch Clustering 计算机科学, 2016, 43(Z11): 210-214. https://doi.org/10.11896/j.issn.1002-137X.2016.11A.048 |
|