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Quantitative analysis of marker-based watershed image segmentation

机译：基于标记的流域图像分割的定量分析

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摘要

A methodology is proposed by combining the application of markers along with watershed transformation and thresholding for image segmentation. Use of the traditional watershed algorithm is widespread because of its advantage of being able to produce a complete division of the image. However, its drawbacks include over-segmentation and noise sensitivity. Therefore, the marker-based watershed segmentation is proposed here to overcome these effects. First, the original image is preprocessed by filtering techniques in order to smoothen it. Secondly, the foreground objects are marked. Then, the background markers are computed. Finally, the marked image is transformed through watershed transformation. The area is computed for the segmented objects in the image. It has been proved that this method reduces the error percentage.
机译：通过将标记的应用与流域的变换和图像分割的阈值相结合来提出一种方法。 使用传统的流域算法是普遍的，因为它能够产生图像的完整划分的优点。 然而，其缺点包括过分分割和噪声灵敏度。 因此，提出了基于标记的流域分割以克服这些效果。 首先，通过过滤技术预处理原始图像以使其平滑。 其次，标记前景对象。 然后，计算背景标记。 最后，通过流域转换改变标记的图像。 该区域用于图像中的分段对象。 已经证明，此方法可降低误差百分比。

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