基于图像差距度量的阈值选取方法

依靠阈值分割出目标与背景在图像处理与分析问题中经常使用，基于好阈值分割出的目标与背景之间的差距应议最大以及它们与原图像的差距应该都很大这一特点，在给出一些差距度量的基础上，一些新的阈值选取方法被提出，所有方法都有比Otsu方法类似的简单计算公式，特别地，根据这一原则，Otsu方法被多次导出，这也间接地说明了依据上面原则来构造阈值选取方法的合理性，所有方法均经实际图像验证证明是行之有效的。

THE THRESHOLD SELECTION METHOD BASED ON THE MEASURE OF DIFFERENCE BETWEEN IMAGES

Image segmentation by thresholding is a usual way in image processing and analysis. With some measures of difference between images, some new methods for image threshold selection are put forward based on the principle that the difference between two parts from an good thresholding segmentation should be big and the differences between original image and two parts are both big. All methods have the simple formula similar with Otsu's method. Otsu's method is made based on the principle on many occasions. It verifies that it is correct to make threshold selection method based on that principle. All methods put forward in this paper have been tested to be able to work well for many images.