基于二维灰度直方图最佳一维投影的图像分割方法
The Gray-Level Image Thresholding Method Based on the Optimal One-Dimensional Projection of Two-Dimensional Histogram
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摘要: 分析了图像二维灰度直方图上聚类集的形状特征,证明了其存在最佳一维投影.利用此 最佳一维投影代替一维灰度直方图进行阈值分割,将会大大降低误判的概率.理论分析和实 验表明,新方法比现有直接利用一维灰度直方图和直接利用二维灰度直方图进行阈值分割的 方法均优越.Abstract: The features of the clusters on 2-dimensional histogram of images are analyzed firstly in this paper. It is shown that there is an optimal 1-dimensional projection of the 2-dimensional histogram. If we use this optimal projection to replace the 1-dimensional histogram in the threshold division of an image, the probability of error caused by noise can be reduced greatly. Theoretic analysis and experiments show that this new method is much better than the methods that merely make use of histograms of the image.
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Key words:
- Image processing /
- image segmentation /
- thresholding
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