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Medical image segmentation based on improved watershed algorithm

机译:基于改进分水岭算法的医学图像分割

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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.
机译:分水岭分割算法存在过度分割的问题。提出了一种改进的医学图像分割分水岭算法。结合改进的灰色形态重建和分水岭算法,改进了医学细胞和脑部CT图像的分割,提高了医疗组织器官图像分割的准确性,并协助医生诊断疾病。仿真结果表明,改进算法可以有效抑制两个不同医学组织图像的过度分割。

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