图像分割是数字图像处理中的一个重要问题。提出了一种自适应的多目标图像分割方法。该方法改进了传统的最大类间方差法(OSTU方法)，并使用方差分解的方法自适应地确定图像中的最佳目标个数。采用遗传算法优化了阈值的求取。对样本图像的分割结果显示，此算法在分割速度和效果上都取得了较好的结果。实验证明，此方法能有效地对多目标图像进行分割。

Image segmentation is an old and difficult problem in digital image processing. A self-adaptive approach of multi-object image segmentation is presented in this paper. In this approach, OSTU method has been improved on, and square error analyse method is used to self-adaptive confirm the best fit object number. Genetic algorithm is used to optimize threshold value. Segmentation result based on the sample image shows that the algorithm achieves good performance in terms of efficiency of segmentation and segment quality. Expreimental results shows that this approach is effective to segment multi-object image.