Results 151 to 160 of about 538 (196)

Image Edge Detection Using Nonsubsampled Contourlet Transform [PDF]

Advanced Materials Research, 2011
An algorithm for image edge detection based on nonsubsampled contourlet transform (NSCT) is proposed. NSCT is multiresolutional, localized, multidirectional and anisotropic，so it can more effectively capture high dimensional singularity. Firstly, the coefficients at different scales and in different directions are obtained by image decomposition using ...
Chang Xia Ma, Ye Bi, Qi Shen Zhao, Jian Kui Shan, Yong Zhang   +4 more
openaire   +2 more sources

Script Identification Based on Nonsubsampled Contourlet Transform [PDF]

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017
With the development of globalization, script identification has become a active field in the document image processing. However, many methods only have good recognition effect on the scripts of particular countries and areas, and cannot be applied to all scripts. Especially for Central Asia, there are few such research.
Xing-kun Han, Alimjan Aysa, Nurbiya Yadikar, Hornisa Mamat, Kurban Ubul   +4 more
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Coefficient difference based watermark detector in nonsubsampled contourlet transform domain

Information Sciences, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pan-Pan Niu, Hong-Ying Yang
exaly   +2 more sources

Texture Image Retrieval Using Nonsubsampled Contourlet Transform [PDF]

, 2011
Texture retrieval is a significant branch of content based image retrieval (CBIR). In this paper, the nonsubsampled contourlet transform has been used for texture image retrieval. This transform is built upon nonsubsampled pyramid and nonsubsampled directional filter banks and provides a shift-invariant, directional, multi-resolution image ...
Mohammad Babaeizadeh, Hadi Jafari Emamzade, Shirin Salehi   +2 more
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Optical nonsubsampled contourlet transform

Applied Optics, 2016
The nonsubsampled contourlet transform (NSCT) is a fully shift-invariant, multiscale, and multidirectional expansion implemented in optics using the Fourier transform of its filters. In this paper, we propose a novel optical NSCT filter design method and the corresponding post-processing method to avoid the use of holographic techniques.
Liang, Han, Wen-Li, Zhang, Xiujuan, Pu, Wanqi, Cheng, Xia, Liu   +4 more
openaire   +2 more sources

Nonsubsampled contourlet transform: construction and application in enhancement

IEEE International Conference on Image Processing 2005, 2005
We present the nonsubsampled contourlet transform and its application in image enhancement. The nonsubsampled contourlet transform is built upon nonsubsampled pyramids and nonsubsampled directional filter banks and provides a shift-invariant directional multiresolution image representation.
Jianping Zhou 0001, Arthur L. da Cunha, Minh N. Do   +2 more
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Image Fusion Using Nonsubsampled Contourlet Transform [PDF]

Fourth International Conference on Image and Graphics (ICIG 2007), 2007
Bin Yang, Shutao Li, Fengmei Sun
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Image Fusion Algorithm Based on Simplified PCNN in Nonsubsampled Contourlet Transform Domain [PDF]

Procedia Engineering, 2012
Pulse Coupled Neural Networks(PCNN) have characteristics in accord with human vision properties,Nonsubsampled Contourlet Transform (NSCT) can overcome the lacking of Shift-invariance in Contourlet Transform. So NSCT was used associated with PCNN in image
Liu, Fu, Caiyun, Huang, Li, Jin
exaly   +2 more sources

Iris Recognition Using the Nonsubsampled Contourlet Transform

International Journal of Pattern Recognition and Artificial Intelligence, 2015
Biometric information is widely used in user identification system. Because of the unique and invariant properties of the iris through a lifetime, iris recognition is one of the most stable and reliable means in biometric identification. Extracting distinguishable iris features for iris recognition is very important.
Ying Li Han, Rae-Hong Park
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Fast Algorithm for Nonsubsampled Contourlet Transform

Acta Automatica Sinica, 2014
Abstract The multiscale geometric analysis (MGA) has been recognized as an effective strategy for image processing. As one of the discrete tools of MGA, the nonsubsampled contourlet transform (NSCT) has been widely used for image denoising, image fusion, image enhancement, feature extraction and so on.
Chun-Man YAN, Bao-Long GUO, Meng YI
openaire   +1 more source