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Region based techniques for segmentation of volumetric histo-pathological images.

机译:基于区域的体积组织病理图像分割技术。

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摘要

In this article we have presented the application of three region based segmentation techniques namely, seeded volume growing, constrained erosion-dilation techniques and 3-D watershed algorithm. The algorithms are suitably extended to apply on 3-D histo-pathological images. Suitable modifications and extension for each algorithm is done to obtain better segmentation. A quantitative as well as qualitative comparison of the three methods is presented. Modifications to these algorithms for obtaining better results are discussed. The modifications include, (1) design of adaptive similarity measures to control the seeded volume growing and (2) rule-based merging of the over-segmented cells in the case of the 3-D watershed algorithm. Some results and quantitative study is also presented.
机译:在本文中,我们介绍了三种基于区域的分割技术的应用,即种子体积增长,约束侵蚀扩散技术和3-D分水岭算法。该算法被适当地扩展以应用于3-D组织病理学图像。对每种算法进行适当的修改和扩展以获得更好的分割。介绍了这三种方法的定量和定性比较。讨论了对这些算法的修改以获得更好的结果。修改包括:(1)自适应相似性度量的设计,以控制种子体积的增长;(2)在3-D分水岭算法的情况下,基于规则的合并过分分割的单元格。还提出了一些结果和定量研究。

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