Joint volumetric extraction and enhancement of vasculature from low-SNR 3-D fluorescence microscopy images

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• 作者：Sepideh Almasi^a ; ^{sepideh.almasi@alumni.tufts.edu}Author Vitae ; Ayal Ben-Zvi^b ; ^cAuthor Vitae ; Baptiste Lacoste^dAuthor Vitae ; Chenghua Gu^bAuthor Vitae ; Eric L. Miller^aAuthor Vitae ; Xiaoyin Xu^eAuthor Vitae
• 关键词：Image segmentation ; Non-uniform illumination ; Tubular structures
• 刊名：Pattern Recognition
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：63
• 期：Complete
• 页码：710-718
• 全文大小：2543 K
• 卷排序：63

文摘

We introduce intensity-based features to directly segment artifacted images of vasculature. The segmentation method is shown to be robust to non-uniform illumination and noise of mixed type. This method is free of a priori statistical and geometrical assumptions.