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COMPARISON OF FINE NEEDLE BIOPSY CYTOLOGICAL IMAGE SEGMENTATION METHODS

机译:细针活检细胞学图像分割方法的比较

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This paper describes an early stage of cytological image recognition and presents a comparison of two hybrid segmentation methods. The analysis includes the Hough transform with conjunction to the watershed algorithm and with conjunction to the active contours techniques. One can also find here a short description of image pre-processing and an automatic nucleuses localization mechanisms used in our approach. Preliminary experimental results collected on a hand-prepared benchmark database are also presented with short discussion of common errors and possible future problems.
机译:本文描述了细胞学图像识别的早期阶段,并呈现了两个混合分段方法的比较。该分析包括Hough变换,与流域算法结合,并结合有源轮廓技术。人们还可以在这里发现图像预处理的简短描述以及我们方法中使用的自动核心定位机制。在手动的基准数据库上收集的初步实验结果也讨论了常见错误和可能的未来问题。

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