系统仿真学报 ›› 2017, Vol. 29 ›› Issue (11): 2927-2933.doi: 10.16182/j.issn1004731x.joss.201711044

• 短文 • 上一篇    

基于统计曲线差分法的多目标图像阈值分割

朱远飞, 张思祥, 周围, 王晓辰, 李志东   

  1. 河北工业大学机械工程学院,天津 300130
  • 收稿日期:2016-05-30 发布日期:2020-06-05
  • 作者简介:朱远飞(1993-),男,安徽,硕士生,研究方向为工业控制和传感器技术,图像处理与检测。
  • 基金资助:
    河北工业大学优秀青年科技创新基金(2012008),河北省青年基金(B2014202260)

Multi-Objective Image Threshold Segmentation Based on Statistical Curve Difference Method

Zhu Yuanfei, Zhang Sixiang, Zhou Wei, Wang Xiaochen, Li Zhidong   

  1. School of mechanical engineering, Hebei University of Technology, Tianjin 300130, China
  • Received:2016-05-30 Published:2020-06-05

摘要: 为准确地分割目标面积过小,目标和背景灰度值相近的多目标图像,提出一种基于统计曲线差分法的阈值分割算法。建立多目标灰度图像的山地模型,对图像灰度归一化处理。用等间隔的阈值逐一分割,计算连通区域个数。绘制统计曲线,曲线横坐标为等间隔的灰度级,纵坐标为计数结果。对统计曲线进行差分,差分值趋近于零的点,就是所要求得的阈值点。实验结果表明:与目前性能较优越的Otsu、最大熵阈值分割方法相比,所提出的方法在多目标图像分割效果准确性更高。

关键词: 多目标图像, 统计曲线, 阈值分割, 灰度归一化

Abstract: In order to accurately segment the multi-objective image whose objective area is too small, and the background gray value is similar to the objective, a threshold segmentation algorithm based on statistical curve difference method is proposed. The mountain model of multi-objective gray image is established and the gray image is normalized. The number of connected area is counted by threshold division. The statistical curve is plotted with the horizontal coordinate being the gray level with equal interval, and the vertical coordinate being the counting result. The threshold point is the point where the difference value of the statistical curve is close to zero. Experiment results show that the proposed method is more accurate than the Otsu and the maximum entropy threshold segmentation method.

Key words: objective image, statistical curve, threshold segmentation, gray normalization

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