基于边界选择的全局阈值算法

2013 13th International Conference on Control, Automation and Systems (ICCAS 2013) Pub Date : 2013-10-01 DOI:10.1109/ICCAS.2013.6703961

Jin-won Jang, Sewon Lee, Hee-Jung Hwang, K. Baek

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引用次数: 9

摘要

针对传统的基于直方图的阈值分割算法，提出了一种基于边界选择的全局图像阈值分割算法。将图像分成固定大小的块，每个块的像素方差用于寻找双峰直方图的边界块。利用边界块的Otsu阈值对目标块和背景块进行分类。这些块的平均值用于确定最佳阈值。实验结果表明，该算法对不同类型图像的阈值分割有较好的改进。

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Global thresholding algorithm based on boundary selection

A global image thresholding algorithm based on boundary selection is proposed for improving conventional histogram-based thresholding algorithms. An image is divided into blocks of a fixed size, and the pixel variance of each block is used for finding the boundary blocks that a bimodal histogram. Otsu's threshold value of boundary block is used to classify object blocks and background blocks. The average values of these blocks are used to determine the optimal threshold value. Experimental results show that proposed algorithm improves on conventional thresholding methods for various types of images.

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来源期刊

2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)

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