一种直方图中值阈值分割算法

A. Bosakova-Ardenska, A. Danev
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引用次数: 2

摘要

本文提出了一种利用直方图中值进行阈值分割的算法。该算法被命名为HisMedian,并在Java上实现。本文还提出了一种基于阈值定义方法的阈值分类算法,该方法将阈值定义为图像的真实颜色或计算颜色的值。根据提出的分类法,一组流行的阈值算法(包括HisMedian)使用三个测试图像进行实验评估。实验结果表明,如果直方图是双峰的,那么使用图像的真实颜色作为阈值的算法比使用计算值作为阈值的算法效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Algorithm for Histogram Median Thresholding
One algorithm for thresholding using a histogram median is presented in this paper. The algorithm is named HisMedian and it is implemented on Java. It is also proposed a taxonomy of thresholding algorithms based on a method for defining threshold value as a real color of image or calculated color's value. According to the proposed taxonomy a set of popular thresholding algorithms (including HisMedian) is experimentally evaluated using three test images. The experimental results show that if a histogram is bimodal then the algorithms which use real color(s) from the image as a threshold(s) achieve better results than algorithms which use calculated value(s) as a threshold(s).
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