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Edge Detection in Multispectral Images Based on Structural Elements
Edge Detection in Multispectral Images Based on Structural Elements
ISSN : 0975-5578Journal from gdlhub / 2017-08-14 11:52:33
Oleh : Mehdi Ghasemi Naraghi, Mahdi Koohi and Abbas Shakery, The International Journal of Multimedia & Its Applications
Dibuat : 2012-06-26, dengan 1 file
Keyword : Satellite, Image Processing, Edge Detection, Multi spectral
Subjek : Edge Detection in Multispectral Images Based on Structural Elements
Url : http://airccse.org/journal/jma/3111ijma08.pdf
Sumber pengambilan dokumen : Internet
One of the first steps of feature extraction is edge detection. There are various methods for edge detection
such as sobel operator, log method and canny operator. These methods have disadvantages such as create
noise and discontinues edge and image smoothing. With the notice of the daily growth multi spectral
images processing and describe of these images have become very important. Because of the existence of
many details of these images, necessity to robust algorithms caused to present a method to extract feature
of an object. In this article An improve method for edge detection has been purposed. In this method edge is
detected by morphologys operator and their combination and with the use of various structure elements of
images in satellite and remote sensing.
One of the first steps of feature extraction is edge detection. There are various methods for edge detection
such as sobel operator, log method and canny operator. These methods have disadvantages such as create
noise and discontinues edge and image smoothing. With the notice of the daily growth multi spectral
images processing and describe of these images have become very important. Because of the existence of
many details of these images, necessity to robust algorithms caused to present a method to extract feature
of an object. In this article An improve method for edge detection has been purposed. In this method edge is
detected by morphologys operator and their combination and with the use of various structure elements of
images in satellite and remote sensing.
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