基于二维熵阈值的图像分割及其快速算法

IMAGE SEGMENTATION BASED ON 2D ENTROPIC THRESHOLDING AND ITS FAST ALGORITHM

阈值分割是图像分割技术中的一种重要方法,在图像处理和模式识别中广为应用。本文提出了一种基于二维熵阈值的图像分割快速算法。该算法能够有效地区分图像中边界、背景和物体三种区域,并使得传统二维阈值方法的复杂度从O(W^2S^2)降至O(W^(2/3)S^(2/3))。

Thresholding is one of the important image segmentation techniques and widely used in the areas of image processing and pattern recognition. This paper reports a fast image segmentation algorithm based on two dimensional entropic thresholding: where the three major components are provided and the computation complexity is reduced from O( W2 S2) to O( W2/3 S2/3) .