文章基本信息

标题：Edge Detection in Radar Images Using Weibull Distribution
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作者：Ali El-Zaart ; Wafaa Kamel Al-Jibory
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2013
卷号：3
期号：3
页码：85-93
DOI：10.5121/csit.2013.3309
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Radar images can reveal information about the shape of the surface terrain as well as its physical and biophysical properties. Radar images have long been used in geological studies to map structural features that are revealed by the shape of the landscape. Radar imagery also has applications in vegetation and crop type mapping, landscape ecology, hydrology, and volcanology.Image processing is using for detecting for objects in radar images.Edge detection; which is a method of determining the discontinuities in gray level images; is a very important initial step in Image processing.Many classical edge detectors have been developed over time. Some of the well-known edge detection operators based on the first derivative of the image are Roberts, Prewitt, Sobel which is traditionally implemented by convolving the image with masks. Also Gaussian distribution has been used to build masks for the first and second derivative. However, this distribution has limit to only symmetric shape. This paper will use toconstruct the masks, the Weibulldistribution which was more general than Gaussian because it has symmetric and asymmetric shape. The constructed masks are applied to images and we obtained good results
关键词：Edge detection; Image processing; Weibull Distribution; Gradient; Radar Image