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Image Segmentation Using Gray-Scale Morphology and Marker-Controlled Watershed Transformation

机译:使用灰度形态和标记控制流域变换的图像分割

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摘要

Segmentation, a new method, for color, gray-scale MR medical images, and aerial images, is proposed. The method is based on gray-scale morphology. Edge detection algorithm includes function edge and marker-controlled watershed segmentation. It features the simple algorithm implemented in MATLAB. The watershed segmentation has been proved to be a powerful and fast technique for both contour detection and region-based segmentation. In principle, watershed segmentation depends on ridges to perform a proper segmentation, a property that is often fulfilled in contour detection where the boundaries of the objects are expressed as ridges. For region-based segmentation, it is possible to convert the edges of the objects into ridges by calculating an edge map of the image. Watershed is normally implemented by region growing, based on a set of markers to avoid oversegmentation.
机译:提出了分割,提出了一种新方法,用于颜色,灰度MR医学图像和空中图像。该方法基于灰度形态。边缘检测算法包括功能边缘和标记控制的流域分段。它具有在MATLAB中实现的简单算法。分水岭分割已被证明是一种强大而快速的技术,可用于轮廓检测和基于地区的分割。原则上,流域分割取决于脊以执行适当的分割,通常在轮廓检测中实现的属性,其中对象的边界表示为脊。对于基于区域的分割,可以通过计算图像的边缘图来将对象的边沿转换为脊。流域通常由地区生长,基于一系列标记来避免过度监督。

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