玛-希尔德斯操作符的执行方法,以检测图标图像的边缘

Yusman Zalukhu, Hery Sunandar, R. K. Hondro
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引用次数: 0

摘要

Ikonos图像是具有高空间分辨率的卫星图像,全色精度为1米像素,多光谱精度为4米。Ikonos的图像通常用于绘制地球上工作/活动的过程、视图、测量和记忆区域。Ikonos的政府形象也经常用它来做一些事情,比如针对灾难发生的国家安全评估、城市规划、矿产勘探和矿山规划、农业监测等。使用卫星进行远距离数字成像的图像结果往往存在以光畸变、噪声或其他干扰形式出现的干扰,从而导致图像上的物体不太明显或模糊不清。本次讨论所做的研究是了解通过计算两点之间的差值对图像进行检测的过程,以及对图像进行平滑和阈值处理的过程。本研究使用的方法是马尔-希尔德斯方法。此外,在本研究中进行的一个过程是对Marr-Hilderth进行测试方法,该方法可以用于修复图像上模糊的物体。本研究的结果是使用Marr-Hilderth的menerapakan方法生成具有显示清晰物体的图像ikonos,并使用matlab应用程序7.8版本(r2009a)进行测试。关键词:Ikonos图像,图像处理,Marr-Hilderth方法,Matlab 7.8
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IMPLEMENTASI METODE MARR-HILDERTH OPERATOR UNTUK MENDETEKSI TEPI CITRA IKONOS
Ikonos imagery is a satellite image that has high spatial resolution with an accuracy of one meter pixels for panchromatic and four meters to multispektral. Ikonos imagery is often used to map the process, view, measure and memoniotring areas of work/activities on the Earth. Ikonos image of Government also often use it for things like national security evaluation against the occurrence of the disaster, city planning, mineral exploration and mine planning monitoring of agriculture, and others. Image digital imaging results over long distances using satellite is often there are disturbances in the form of light distortion, noise or other distractions that cause the object on the image less obvious or obscure. This discussion on the research being done is knowing the process of detection on image by calculating the difference between two dots are bertetanggan, and is in the process of smoothing and thresholding on image ikonos. The methods used in this research is a method of Marr-Hilderth. In addition, a process that is done on this research is conducting a testing method against Marr-Hilderth, which can be implemented to fix the blurry objects on images ikonos. The results of this research is to generate image ikonos with display clear object with the menerapakan method of the Marr-Hilderth and tested using the matlab application version 7.8 (r2009a).Keywords: Ikonos image, image processing, method of Marr-Hilderth, Matlab 7.8
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