一种用于红外图像分割的改进型Otsu方法

概述了红外图像处理系统对图像预处理的要求,并针对传统图像分割算法中容易出现的目标错分问题,提出了一种基于灰度梯度映射函数的Otsu法。该方法克服了传统的基于灰度直方图的Otsu法不能利用图像局部信息和边界信息的缺点,通过将像素点的梯度信息与灰度信息相结合,较好地从背景中分离出了目标。仿真结果表明,该算法达到了预期的技术指标,很好地实现了红外图像预处理的功能。

An Improved Otsu Method for Infrared Image Segmentation

The image preprocessing requirements of an infrared image processing system are presented. An Otsu method based on gray gradient mapping function is proposed for the target misclassification occurred easily in the traditional image segmentation algorithm. The method can overcome the shortcoming of the traditional Otsu method based on gray histogram, which can not make use of the local and boundary information in an image. By combining the gradient information with the gray information of pixels, the target can be well separated from the background. The simulation result shows that the algorithm meet the expected specifications and can implement the preprocessing of infrared images.