尾流特征图像提取的数学形态学方法  

Wake Feature Images Extraction in Mathematics Morphology

作　　者：张建生[1] 崔红[1] 常洋[1] 陈焱[1] 孙建鹏[1] 

机构地区：[1]西安工业大学理学院,西安710021

出　　处：《西安工业大学学报》2012年第12期987-990,共4页Journal of Xi’an Technological University

基　　金：武器装备预研基金(51448030101ZK1801);陕西省自然科学研究项目(2004A18)

摘　　要：利用数学形态学提取船舶尾流图像形状特征的原理及方法,解决含有各种噪声的海洋船舶尾流特征图像的提取问题.通过数学形态学的膨胀、腐蚀、开启和闭合运算对尾流图像进行消噪,得到了尾流边缘清晰的消噪图像;对尾流消噪图像进行了细化骨架提取和修剪,得到了船舶尾流特征图像.对滤波后的图像进行了阈值二值化处理,尾流图像层次清楚,边缘突出,得到了清晰、不含噪声的尾流边缘图像.Based on mathematical morphology, the principles and methods of extracting the image of ship wake vibration are introduced in this present paper to find a proper way of ship wake images （SWI） denoising. A clear denoising image of the wake edges can be achieved by applying the operation of mathematical morphology,including dilation,corrosion,opening and closing calculation. By trimming and refining the framework of the denoising image, a final image of ship wake vibration is achieved. SWI vibration with various noises and indistinct edges can to the research. Denoising SWI are received with processing of threshold of binary on SWI. be extracted by applying mathematical morphology clear hierarchy and sharpen edges through the

关 键 词：尾流 数学形态学 膨胀腐蚀去噪 开运算 闭运算 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]