Top

Published in:

2014 | OriginalPaper | Chapter

An Improved Method Research of SAR Images Thresholding Segmentation

Authors : Hongyu Zhao, Qingping Wang, Weiwei Wu, Naichang Yuan

Published in: Unifying Electrical Engineering and Electronics Engineering

Publisher: Springer New York

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Aiming at the characteristics of SAR image and the defect of two-dimensional histogram oblique segmentation, by redefining the two-dimensional histogram, changing the thresholding range, and introducing within-class variance to redefine the thresholding function, we segregate the target area from background area precisely and improve the quality of image segmentation. So it achieves a better segmentation performance. The edge information of the SAR images can be obtained precisely and the interference of the background will be greatly reduced.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

previous chapter A Novel Video Super-Resolution Algorithm Based on Non-Local Normalized Convolution

next chapter Efficient Self-Adaptive Image Steganography Scheme Based on Iterative Blending and Integer Wavelet Transform

Otsu N (1979) A threshold selection method from gray-level histogram. IEEE Trans Syst 9(1):62–66MathSciNet

Liu JZ, Liu W (1993) Automatic thresholding of gray-level pictures using two-dimensional Otsu method. Acta Automatic Sinica 19(1):101–105

Gong JL, Chen WN (1998) Fast recursive algorithms for two-dimensional thresholding. Pattern Recog 31(3);295–300

Wu YQ, Peng Z, Wu WY (2008) Image thresholding based on two-dimensional histogram oblique segmentation and its fast recurring algorithm. J Commun 29(4):77–85

Wu YQ, Feng J, Wu SH (2011) Fast iterative algorithm for image segmentation based on an improved two-dimensional Otsu thresholding. J Electron Measure Instr 25(3):218–226CrossRef

Zhou YY, Yang K, Huang Y (2007) Improved Otsu thresholding based on minimum inner-cluster variance. Huazhong Univ of Sci&Tech (Nature Science Edition) 35(2);101–103

Hou GX, Bai D (2000) The method of image segmentation evaluation quality research. J Image Graph 5(1):39–43

Fan JL, Zhang F (2007) Two-dimensional Otsu’s curve thresholding segmentation method for gray-level image. Chin J Electron 35(4):751–755MathSciNet

Title: An Improved Method Research of SAR Images Thresholding Segmentation
Authors: Hongyu Zhao
Qingping Wang
Weiwei Wu
Naichang Yuan
Publisher: Springer New York
Book: Unifying Electrical Engineering and Electronics Engineering
Print ISBN: 978-1-4614-4980-5

Electronic ISBN: 978-1-4614-4981-2

Copyright Year: 2014
DOI: https://doi.org/10.1007/978-1-4614-4981-2_125