Results 261 to 270 of about 8,406,664 (294)

Multi-scale decomposition tool for Content Based Image Retrieval

2013 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2013
Content Based Image Retrieval (CBIR) is a technical area focused on answering “Who, What, Where and When,” questions associated with the imagery. A multi-scale feature extraction scheme based on wavelet and Contourlet transforms is proposed to reliably extract objects in images.
Soundararajan Ezekiel, Mark G. Alford, David Ferris, Eric K. Jones, Adnan Bubalo, Mark Gorniak, Erik Blasch   +6 more
openaire   +1 more source

Shape matching and retrieval via contour multi-scale decomposition

2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013
In this paper, we propose a new shape decomposition method based on visual perception for shape matching and retrieval which uses the protrusive corners under multiple scales. Our approach composes of a multi-scale shape decomposition procedure and a contour segments matching procedure.
Jin Zhang, Zhichun Mu, Yanfei Ren, Guoqing Xu, Chen Jiang   +4 more
openaire   +2 more sources

Multi-Scale Fusion and Decomposition Network for Single Image Deraining

IEEE Transactions on Image Processing
Convolutional neural networks (CNNs) and self-attention (SA) have demonstrated remarkable success in low-level vision tasks, such as image super-resolution, deraining, and dehazing. The former excels in acquiring local connections with translation equivariance, while the latter is better at capturing long-range dependencies.
Qiong Wang, Kui Jiang, Zheng Wang 0007, Wenqi Ren, Jianhui Zhang, Chia-Wen Lin   +5 more
openaire   +2 more sources

Multi-scale decomposition for remote sensing image processing

2011 International Conference on Consumer Electronics, Communications and Networks (CECNet), 2011
Based on image gradients, an alternative image multi-scale decomposition approach for remote sensing image processing is derived through solving a Poisson equation in this paper. First, the image gradients are obtained. Second, the gradients with given magnitudes are attenuated using some operators.
Zhou Lijia, Qian Zhibo, Xu Guanlei
openaire   +1 more source

A Multi-Scale Decomposition Based Haze Removal Algorithm

2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, 2012
The contrast and colors of images acquired in bad weather are usually poor. This paper proposed a simple method to remove haze based on a multi-scale decomposition method. Through the Fourier spectrum and Hough transform we obtain the directional images which are then used to decompose the image to IMFs.
Xiaotong Wang, Xin Jin, Guanlei Xu, Xiaogang Xu   +3 more
openaire   +1 more source

Hierarchical decomposition of multiscale skeletons

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001
This paper presents a new procedure to hierarchically decompose a multi-scale discrete skeleton. The skeleton is a linear pattern representation that is generally recognized as a good shape descriptor. For discrete images, the discrete skeleton is often preferable. Multi-resolution representations are convenient for many image analysis tasks.
Borgefors G, Ramella G, Sanniti di Baja G   +2 more
openaire   +3 more sources

Fusion of backscatter and transmission images based on multi-scale image decomposition

2014 International Conference on Audio, Language and Image Processing, 2014
We propose a new scheme for the fusion of backscatter images and transmission images in X-ray luggage inspection systems. Our fusion algorithm is based on multi-scale decomposition of backscatter/transmission images under the weighted least square (WLS) framework.
Qingqing Chang, Jiamin Chen
openaire   +1 more source

Nonlinear multi-scale decomposition by EMD for Co-Channel speaker identification

Multimedia Tools and Applications, 2016
A multi-scale analysis method, called Empirical Mode Decomposition (EMD), has been proposed for analysis of nonlinear and non stationary data. The empirical mode decomposition is a method initiated by Huang et al. as an alternative technique to the traditional Fourier and wavelet techniques for examining signals.
Wajdi Ghezaiel, Amel Ben Slimane Rahmouni, Ezzedine Ben Braiek   +2 more
openaire   +2 more sources

Decomposition of likelihoods and techniques for multi-scale data assimilation

Discrete and Continuous Dynamical Systems - B
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maclean, John, van Vleck, Erik S.
openaire   +1 more source

Iris Recognition Based on Quadratic Spline Wavelet Multi-scale Decomposition

2005
This paper presents an efficient iris recognition method based on wavelet multi-scale decompositions. A two-dimensional iris image should be transformed into a set of one-dimensional signals initially and then the wavelet coefficients matrix is generated by one-dimensional quadratic spline wavelet multi-scale decompositions.
Xing Ming, Xiaodong Zhu 0001, Zhengxuan Wang   +2 more
openaire   +2 more sources