针对灰度图像对比度较低而难以识别目标区域的问题,对形态学中传统的高帽变换算子和toggle算子进行组合,提出了基于高帽变换和toggle算子组合的图像增强优化算法。该算法利用高帽变换算子增大原始图像灰度值的动态范围,同时利用toggle算子锐化图像,使图像清晰。实验结果表明,该组合算子相对单个算子来说,对灰度图像的对比度增强效果更好,目标识别效果更佳。

Since it is difficult to enhance target region of gray image with low contrast, traditional morphological top-hat transformation and the toggle operator were combined, and an optimization algorithm for enhancement of image based on the combination was put forward. The algorithm uses top hat transformation operator to increase dynamic range of the gray value in original image and uses the toggle operator to sharpen the image, which can make the image clear at the same time. The experimental results show that the combination operator has better effect on contrast enhancement of gray scale images compared with single operator, and the effect of the target recognition is better.