一种基于数学形态学的图像对比度增强算法

Algorithm of Image Contrast Enhancement Based on Mathematical Norphology

由于数学形态学边缘提取算法优于微分边缘提取算法,故提出一种数学形态学图像对比度增强方法。利用数学形态学的相关原理,使用双梯度多尺度、多结构元素进行边缘检测,成功地实现了对模糊图像的去模糊处理实验。仿真结果表明,该方法优于拉普拉斯去模糊方法,并且提取出的图像边缘较好地保持了原来的细节特征,去模糊效果好,图像的对比度得到明显增强。

As the mathematical morphology edge detection algorithm is superior to the differential edge detection atgorithm,a method of image contrast enhancement which is based on mathematical morphology is presented. Using the relevant principle of the mathematical morphology, and through the methods of doublegradient,multi- scale and multi- structure element to determine the edge of image,deblurring the blurred image is realized successfully. The simulation results indicate that the method is better than the Laplaee＇s method,and the extracted image edges can maintain the edge＇s detail characteristics of the original image and markedly improve the blurred image and greatly enhance contrast of the image.