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1)  pleural effusions images
胸水图像
2)  chest images
胸片图像
1.
Based on chest images features, this paper presents a retrieval method with domination color of partition, gray level co-occurrence matrix and gradient image shape invariant moments, as well as the fusion of them and the technique of relevance feedback.
针对胸片图像特征,提出用分块主颜色、灰度共生矩阵和梯度图像形状不变矩以及它们的融合加之相关反馈技术进行检索的方法。
3)  chest CT image
胸部CT图像
1.
Therefore, an improved topologically adaptable snake (T-Snake) was presented, and then a method was given to segment lung parenchyma in chest CT image based on the improved T-Snake.
肺组织分割是肺结节检测、肺功能定量分析、三维重建与可视化计算等胸部CT图像分析处理的基础。
4)  thoracic vertebrae image
牛胸椎骨图像
1.
Auto-segmentation of cartilage and bone areas in thoracic vertebrae images;
牛胸椎骨图像中软骨和硬骨区域的自动分割技术
5)  digital chest radiographs
CR数字胸片图像
1.
With digital chest radiographs as research objects in this paper, several segmentation methods are presented to detect the ribs in digital chest radiographs, which include iterative probabilistic relaxation, K-means cluste.
以CR数字胸片图像为研究对象,给出了概率松弛迭代法、K-均值聚类法和高斯曲面阈值法在胸片肋骨分割中的应用,并且对其结果给予了一定的评价。
6)  X-ray chest image
X-光胸片图像
补充资料:高光谱分辨率遥感图像及图像光谱信息提取


高光谱分辨率遥感图像及图像光谱信息提取


  高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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