【作者】 郭海涛； 王连玉； 田坦； 厚宇德；

【Author】 GUO Hai-tao WANG Lian-yu TIAN Tan HOU Yu-de (National Ocean Technology Center, Tianjin 300111, China;College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China;Department of Physics, Taizhou College, Taizhou, 317000, China)

【机构】 国家海洋技术中心； 哈尔滨工程大学水声工程学院； 台州学院物理系；

【摘要】 保边去噪是图像平滑中的主要问题。声呐图像像素少品质恶劣,保边去噪显得尤为重要。进一步阐述了一种模糊加权均值滤波器的基本原理,并将其应用于海底小目标声呐图像平滑,实验结果表明这种方法较传统的均值平滑具有更好的保边性能。更多还原

【Abstract】 Reducing noise and protecting object edges in a image is a primary task in image smoothing, and it is still an important task owing to the sonar image being bad quality. The paper illuminated the basic principle of a fuzzy weighted average filter and applied it in smoothing the sonar image of a small target on sea bed. The experimental results show that the method has better performance than the conventional average filter in protecting object boundaries in the image.更多还原