阐述了数学形态学的原理和方法，研究了数学形态学在带钢表面缺陷图像滤波和边缘检测中的应用，通过与传统滤波方法和边缘检测方法的对比，表明基于多结构元素的数学形态学方法不仅能有效的滤除噪声、检测弱小目标在内的图像的边缘，而且还具有较强的抗噪性能。
The principles of mathematical morphology is described, the application of the mathematical morphology on the steel strip surface defect image in filtering and edge detection are studied. Through compared with the traditional filtering methods and edge detection methods, It shows that multi-structure elements based on mathematical morphology approach not only an effectively filter out the noise and detect the image edge including small targets, but also has strong anti-noise performance.
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