IEEE Trans Image Process. 1998;7(6):918-21. doi: 10.1109/83.679444.
In this correspondence, we present a general recursive approach for image segmentation by extending Otsu's (1978) method. The new approach has been implemented in the scope of document images, specifically real-life bank checks. This approach segments the brightest homogeneous object from a given image at each recursion, leaving only the darkest homogeneous object after the last recursion. The major steps of the new technique and the experimental results that illustrate the importance and the usefulness of the new approach for the specified class of document images of bank checks will be presented.
在这封通信中，我们通过扩展 Otsu（1978）的方法，提出了一种用于图像分割的通用递归方法。新方法已在文档图像范围内实施，特别是真实的银行支票。该方法在每次递归时从给定图像中分割出最亮的均匀对象，仅在最后一次递归后留下最暗的均匀对象。新方法的主要步骤和实验结果将被呈现，这些结果说明了该方法对于特定类别的文档图像（如银行支票）的重要性和有用性。
