To solve the frequent ash and slag stacking in the ash - pit under the 600 mw supercritical boiler for huaneng shanghai shidongkou no . 2 power plant , the high resolution acoustics imaging real - time monitoring system was developed using underwater acoustics imaging technology 摘要结合华能上海石洞口二电厂600mw超临界锅炉炉底灰坑频繁堆渣排放的实际情况，利用水下声纳成像技术，开发了高分辨率声纳成像实时监视系统。
With the characteristics of the task of preprocessing and recognition of underwater acoustic images , the nonlinear methods based on the mathematical morphology was proposed here . the performance of it is better than the conventional methods for the case of suppressing noise , detecting edges and recognition 本文针对水声图象预处理和识别的特殊性，把数学形态学的形态变换应用到“声视觉系统”的预处理和识别中，实现了以数学形态学为理论基础的非线性处理方法，使得图象的去噪、边缘提取和物体识别等处理较传统方法优越和快速。
