Results 261 to 270 of about 64,008 (285)

Multi-scale decomposition of point process data

GeoInformatica, 2012
To automatically identify arbitrarily-shaped clusters in point data, a theory of point process decomposition based on kth Nearest Neighbour distance is proposed. We assume that a given set of point data is a mixture of homogeneous processes which can be separated according to their densities.
Tao Pei, Jianhuan Gao, Ting Ma, Chenghu Zhou   +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   +2 more sources

Saliency analysis based on multi-scale wavelet decomposition

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013
In this paper, an efficient saliency analysis method based on multi-scale wavelet analysis is proposed, which can be used for car detection in intelligent transportation applications. In our method, saliency regions are considered as abnormal parts in a normal background; the wavelet theory is then used to detect these abnormal parts.
au Xiaolong Ma, au Xudong Xie, au Kin-Man Lam, au Yi Zhang   +3 more
openaire   +1 more source

Effective shadow removal via multi-scale image decomposition

The Visual Computer, 2019
Shadow removal is a fundamental and challenging problem in image processing field. Current approaches can only process shadows with simple scenes. For complex texture and illumination, the performance is less impressive. In this paper, we propose a novel shadow removal algorithm based on multi-scale image decomposition, which can recover the ...
Ling Zhang, Qingan Yan, Yao Zhu, Xiaolong Zhang, Chunxia Xiao   +4 more
openaire   +1 more source

Image selective restoration using multi-scale variational decomposition

Journal of Visual Communication and Image Representation, 2016
Display Omitted A single-parameter (BV, G, L2) variational decomposition functional is proposed.Theoretical analysis of the relationship between the parameter and the scales.A multi-scale variational decomposition is proposed.Image selective restoration using the multi-scale variational decomposition.
Liming Tang, Zhuang Fang, Changcheng Xiang, Shiqiang Chen   +3 more
openaire   +1 more source

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

Multi-scale Curve Decomposition Based on Alpha-Shape

2011 Eighth International Symposium on Voronoi Diagrams in Science and Engineering, 2011
In cartography curve simplification is a recurrent problem. The purpose is to remove irrelevant details while emphasizing the main features of the curve. Decomposition of curve is preprocessing of curve simplification. Most of the current techniques belong to the spatial domain (least square method, active contour, point selection).
Zhuangzhi Wu, Lu Feng
openaire   +1 more source

Graph signal decomposition for multi-scale detail manipulation

2014 IEEE International Conference on Image Processing (ICIP), 2014
In this paper we introduce a new unified framework for multi-scale detail manipulation of graph signals. The key to this unification is to model any kind of data as signals defined on appropriate weighted graphs. Graph signals are represented as the sum of successive layers, each capturing a given scale of detail.
M. Hidane, O. Lezoray, A. Elmoataz
openaire   +1 more source

Multi-scale SSIM metric based on weighted wavelet decomposition

Optik, 2014
Abstract Image quality assessment aims to use computational models to assess the image quality consistently with subjective evaluations. This paper proposes a new metric composed of weighted wavelet multi-scale structural similarity (WWMS-SSIM). Four-level 2-D wavelet decomposition is performed for the original and disturbed images, respectively ...
Fang Qian, Jin Guo, Tao Sun, Tingfeng Wang   +3 more
openaire   +1 more source