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Region-based measures for evaluation of color image segmentation

机译:基于区域的彩色图像分割评估方法

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摘要

The present paper is aimed to compare the efficiency of a new segmentation method with several existing approaches. The paper addresses the problem of image segmentation evaluation from the error measurement point of view.We are introducing a new method of salient object recognition with very good results relative to other already known object detection methods. We developed a simple evaluation framework in order to compare the results of our method with other segmentation methods. The experimental results offer a complete basis for parallel analysis with respect to the precision of our algorithm, rather than the individual efficiency.
机译:本文旨在将一种新的分割方法与几种现有方法的效率进行比较。本文从误差测量的角度解决了图像分割评估的问题。我们正在介绍一种新的显着目标识别方法,与其他已知的目标检测方法相比,该方法具有很好的效果。我们开发了一个简单的评估框架,以便将我们的方法的结果与其他细分方法进行比较。实验结果为我们算法的精度而不是单个效率的并行分析提供了完整的基础。

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