基于改进分水岭算法的医学图像分割

2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2018-10-01 DOI:10.1109/IAEAC.2018.8577861

Tongping Shen, Yuanmao Wang

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引用次数: 7

摘要

分水岭分割算法存在过度分割的问题。提出了一种改进的分水岭医学图像分割算法。结合改进的灰度形态重建和分水岭算法，改进了医学细胞和脑CT图像的分割，提高了医学组织器官图像分割的准确性，帮助医生诊断疾病。仿真结果表明，改进算法可以有效地抑制两种不同医学组织图像的过分割。

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Medical image segmentation based on improved watershed algorithm

The watershed segmentation algorithm has the problem of over-segmentation. The paper proposed an improved watershed algorithm for medical images segmentation. Combined with improved gray morphological reconstruction and watershed algorithm, the segmentation of medical cells and brain CT images is improved, which improves the accuracy of image segmentation of medical tissues and organs and assists doctors to diagnose the diseases. The simulation results show that the improved algorithm can effectively suppress the oversegmentation for two different medical tissue images.

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来源期刊

2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

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