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图像域值分割方法对港口目标的识别
引用本文:高鸿启,王寅龙,沈学举,甘厚吉.图像域值分割方法对港口目标的识别[J].装备制造技术,2009(11).
作者姓名:高鸿启  王寅龙  沈学举  甘厚吉
作者单位:军械工程学院光电系,光学教研室,河北,石家庄,050003
摘    要:提出了一种在卫星图像中采用域值分割的方法来识别港口目标.运用基于灰度级的权值矩阵来代替通常所用的基于图像像素的权值矩阵来描述图像各像素的关系,算法所需的存储空间及实现的复杂性比其他基于图论的图像分割方法大大减少,从而有利于应用在自动目标识别和其他方法中的应用.实验结果表明,其优越的分割性能对港口目标和海域以及陆地的区分起到非常关键的作用,从而能更好地识别港口目标.

关 键 词:图谱理论  域值分割  港口识别  卫星拍摄

A Image Thresholding Method Recognise Port Targets Based on Graph Special Theory
Authors:GAO Hong-qi  WANG Yin-long  SHEN Xue-ju  CAN Hou-ji
Affiliation:GAO Hong-qi,WANG Yin-long,SHEN Xue-ju,GAN Hou-ji(Department of Optical and Electronic Engineering,Ordnance Engineering College,Shijiazhuang 050003,China)
Abstract:Present a novel segmentation shareholding algorithm method to recognize port targets in satellite image.The weight matrices used in evaluating the graph cuts are based on the gray levels of an image,instead of the commonly used based on image pixels.The number of gray levels is much smaller than the number of pixels.Therefore,the proposed algorithm occupies much smaller storage space and requires much lower computational costs and implementation complexity than other graph based image segmentation algorithm...
Keywords:graph special theory  threshold division  port recognition  
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