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Iterative data adaptive anisotropic image filtering

Iterative data adaptive anisotropic image filtering

引用

2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012

作者： Yang, Chang-Cai Zheng, Xin-Yi Tian, Jin-Wen Shang, Ke Tian, Xin Hao, Wei Institute for Pattern Recognition and Artificial Intelligence Science and Technology on Multi-Spectral Information Processing Laboratory Huazhong University of Science and Technology Wuhan 430074 China Electrical Engineering and Renewable Energy School China Three Gorges University Yichang 443002 China Institute of Intelligent Vision and Image Information College of Computer and Information Technology China Three Gorges University Yichang 443002 China

ISBN: (纸本)9781467314855

This paper presents a novel data-adaptive anisotropic filtering technique built on top of an iterative scheme. This new technique can preserve the original significant structures while suppressing noises to the largest extent. To achieve this goal, dominant orientation information of all gradients is used to control the local kernel adaptively. This results in elongated and elliptical contours spread along the directions of the local edge structure. With these locally adapted kernels, the smoothing is mostly effective along the edges, rather than across them. Therefore details in the original input can be preserved. The performance of the proposed data-adaptive anisotropic filter together with its iterative scheme are compared with the conventional Gaussian filter, anisotropic diffusion filter, the structure-adaptive anisotropic filter, and the iterative kernel regression scheme. The experimental results on both simulated Gaussian and Poission noisy images indicate that the proposed method performs the best, and the iterative scheme can significantly improve the performance of the noise suppressing while delivering high computation efficiency. © 2012 IEEE.

关键词： Iterative methods

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Algorithm for Detection of Single Isolated Human Insulin Crystals for In-Situ Microscopy

Algorithm for Detection of Single Isolated Human Insulin Cry...

引用

Electronics, Robotics and Automotive Mechanics Conference

作者： Geovanni Martinez Patrick Lindner Arne Bluma Thomas Scheper Image Processing and Computer Vision Laboratory Escuela de Ingenieria Electrica Universidad de Costa Rica San Jose Costa Rica Institut fuer Technische Chemie Leibniz Universitaet Hannover Hannover Germany

An algorithm is presented that is able to detect the regions which correspond to the single isolated human insulin crystals in a group of previously segmented foreground regions. It is based on a single nearest prototype rule, which requires the knowledge of a class prototype for each class of segmented foreground regions. Each class prototype represents a 7-dimensional mean vector of rotation, translation and scale invariant shape characteristics of several class members extracted a priori from a training set of images. An arbitrary segmented foreground region is detected as the region of an isolated human insulin crystal if the region's vector of rotation, translation and scale invariant shape characteristics is much closer to the class prototype of the regions of single isolated human insulin crystals than to the other foreground region class prototypes. The Euclidian distance is used to compute the closeness between two vectors. Experimental results with real data revealed an average processing time of 0.15 seconds/image and a detection reliability of 95 percent.

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Probability density estimation by linear combinations of Gaussian kernels-generalizations and algorithmic evaluation

Probability density estimation by linear combinations of Gau...

引用

International Conference on Multimedia Technology

作者： Farag, Amal A. Ali, Asem M. Elhabian, Shireen Farag, Aly A. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY United States

ISBN: (纸本)9781612847740

This paper examines parametric density estimation using a variable weighted sum of Gaussian kernels, where the weights may take positive and negative values. Various statistical properties of the estimator are studied as well as its extensions to multidimensional probability density estimation. Identification of the estimator parameters are computed by a modified EM algorithm and the number of kernels are estimated by information theoretic approach, using the Akiake Information Criterion (AIC). This paper provides empirical evaluation of the estimator with respect to window-based estimators and the classical linear combinations of Gaussian estimator that uses only positive weights, showing its robustness (in terms of accuracy and speed) for various applications in image and signal analysis and machine learning. © 2011 IEEE.

关键词： Probability density function

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Less is more: Cropping to improve facial recognition with thermal images

Less is more: Cropping to improve facial recognition with th...

引用

2nd International Conference on Multimedia Technology, ICMT 2011

作者： Gault, Travis R. Mostafa, Eslam Farag, Ahmed A. Farag, Aly A. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY United States

ISBN: (纸本)9781612847740

Numerous studies have investigated the functionality of the human facial recognition mechanisms with aims to improve computer vision methodologies. Understanding these mechanisms is important for applications in computer vision, as one goal of researchers is to create automatic facial recognition systems to equal the robustness of the human facial recognition system. Work in the field of human facial recognition shows that humans are able to recognize faces under very challenging scenarios, including partial occlusion. However, most human facial recognition experiments are conducted in the visible and near-infrared spectrums. During human facial recognition experiments with thermal images conducted in the lab, we found that removing the lower face yields better recognition results than when using the entire face. These tests included standard facial recognition algorithms and the results showed Rank 1 Recognition improvements of 10-25%, depending on the amount of occlusion derived from certain anatomical landmarks. © 2011 IEEE.

关键词： computer vision

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3D computational modeling of epiretinal prosthesis stimulation of the ganglion cell

3D computational modeling of epiretinal prosthesis stimulati...

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Shabnam Novin Hamid Abrishami Moghaddam Amir Masoud Sodagar Amin Mahnam Research Laboratory for Integrated Circuits and Systems (I CAS) Department of Electrical and Computer Engineering K.N. Toosi University of Technology Tehran Iran Research Laboratory for Machine Vision and Medical Image Processing (MVMIP) Department of Electrical and Computer Engineering K.N. Toosi University of Technology Tehran Iran Ecole Polytechnique de Montreal Montreal QUE Canada Department of Biomedical Engineering School of Engineering University of Isfahan Isfahan Iran

Here we present a modeling for electrical stimulation of retinal ganglion cell. This modeling can be used in epiretinal prosthesis to come up with proper electrical stimulation parameters. The model that we present is a novel one based on the anatomy of the cell. The excitation process of the electrically stimulated retinal cells is simulated in a two step procedure. In the first step the ganglion target cell is represented considering all of its compartments and in a second step the extracellular potential along the neural structure is calculated and finally the membrane voltage response to the applied stimulations is analyzed. A monopolar point electrode was positioned above the cell in an infinite and homogenous environment and the monophasic and biphasic pulses were used as stimulating current. The results show that the responses are in accordance with the values and diagrams of experimental results more than the previous models.

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Face recognition at-a-distance using texture, Sparse-Stereo, and Dense-Stereo

Face recognition at-a-distance using texture, Sparse-Stereo,...

引用

International Conference on Multimedia Technology

作者： Mostafa Abdelrahman Shireen Elhabian Asem Ali Aly A. Farag Computer Vision & Image Processing Laboratory (CVIP) University of Louisville Louisville KY USA

ISBN: (纸本)9781612847719

This paper proposes a framework for face recognition at a distance based on texture, Sparse-Stereo, and Dense-stereo reconstruction. We develop a 3D acquisition system that consists of two CCD stereo cameras mounted on pan-tilt units with adjustable baseline. In this paper we introduce our stereo-based indoor/outdoor environment and different ranges human faces database. Also, we propose a front-to-end system of 3D face reconstruction and recognition. We first detect the facial region and extract its landmark points, which are used to initialize the face alignment algorithm. The fitted mesh vertices, generated from the face alignment process, provide point correspondences between the left and right images of a stereo pair; stereo-based reconstruction is then used to infer the 3D information of the mesh vertices. Also the dense 3D is reconstructed for the cropped stereo pair based on graph cut approach. We perform experiments regarding the use of different features extracted from these vertices for face recognition. The cumulative rank curves (CMC), which are generated using the proposed framework, confirm the feasibility of the proposed work for long distance recognition of human faces.

关键词： Face Face recognition Three dimensional displays image color analysis Skin Feature extraction Databases

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Precise change detection in multi-spectral remote sensing imagery using SIFT-based registration

Precise change detection in multi-spectral remote sensing im...

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International Conference on Multimedia Technology

作者： Mostafa Abdelrahman Asem Ali Aly A. Farag Computer Vision & Image Processing Laboratory (CVIP) University of Louisville Louisville KY USA

ISBN: (纸本)9781612847719

In this paper we propose a robust method for geometric co registration, and an accurate change detection technique based on statistical method for multi-temporal high-resolution satellite imagery. Lhe proposed algorithm is as the following: scale-invariant feature transform (SIFT) is used to extract a set of correspondence points in a pair, or multiple pairs, of images that are taken at different times and under different circumstances, then Random Sample Consensus (RANSAC) is used to remove the outlier set. the resulting inliers matched points is an accurate correspondences which used to register the given images, changes in registered images are identified using statistical analysis of image differences. Finally, Markov-Gibbs Random Field (MGRF) is used to model the spatial-contextual information contained in the resulting change mask. Experiments with generated synthetic multiband images, and LANDSAT5 images, approved the accuracy the proposed algorithm.

关键词： Remote sensing Satellites Earth Detection algorithms Feature extraction Statistical analysis Accuracy

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Elastic shape registration using an incremental free form deformation approach with the ICP algorithm

Elastic shape registration using an incremental free form de...

引用

Canadian Conference on computer and Robot vision

作者： Abdelmunim, Hossam Farag, Aly A. Computer and Systems Engineering Department Faculty of Engineering Ain Shams University Cairo 11517 Egypt Computer Vision and Image Processing Laboratory Electrical and Computer Engineering Department University of Louisville KY 40292 United States

ISBN: (纸本)9780769543628

Shape registration is one of the most challenging problems in computer vision and medical imaging. The process is affected by the way the shape is represented and the form of transformation used to move the source shape. Our paper handles the elastic shape registration by combining the incremental free form deformation (IFFD) with the point-based registration technique using the sum of least squares method. The iterative closest point (ICP) algorithm is used as a criteria to establish point correspondences in each level of the IFFD framework. The free form deformation (FFD) is well known in the literature and works by forming a lattice of control points that can move and hence deform the domain grid points smoothly and uniformly under some shape constrains. The control lattice resolution is increased step by step to achieve a satisfactory deformation of the source shape to exactly match the target boundaries. Our point-based registration is based on least squares that measure the Euclidean distance between source and target boundaries in addition to the shape constrains. The minimization gives a closed form solution of the lattice control points positions. Promising results will be demonstrated for closed and open shapes and structures. The approach can also work for structures that contain multiple parts without any problems. © 2011 IEEE.

关键词： Medical imaging

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Less is more: Cropping to improve facial recognition with thermal images

Less is more: Cropping to improve facial recognition with th...

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International Conference on Multimedia Technology

作者： Travis R. Gault Eslam Mostafa Ahmed A. Farag Aly A. Farag Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA

ISBN: (纸本)9781612847719

关键词： Face recognition Humans Skin Imaging Nose Probes Shape

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Width Distributions for Shape Description

Width Distributions for Shape Description

引用

Proceedings of the Digital image Computing: Technqiues and Applications (DICTA)

作者： Xiaozheng Zhang Yongsheng Gao Biosecurity Group Queensland Research Laboratory NICTA Australia Computer Vision and Image Processing Laboratory Griffith University Australia

Measuring the similarity between articulated shapes is a fundamental yet challenging problem. This paper proposes a novel shape descriptor based on Width Distributions (WD), which is robust to articulations. We show that the width distributions are articulation insensitive yet descriptive to distinguish different shapes with varied part structures. With measurements on distributions only, the proposed method does not require any alignment between two objects and thus is more robust than correspondence-based measurements. First, the medial axes of the objects are extracted and fitted to B-Splines to remove outliners. The width of the object shape perpendicular to the medial axis can be calculated for each position on the medial axis. The histograms of those widths are compared using chi-square method for similarity. Experiments on standard 2D shape database show that the proposed method performed better than standard shape distribution algorithms and similarly to other articulation-robust shape descriptors, such as inner-distance. The speed of the proposed method is much faster than the more sophisticated inner-distance, as the proposed method is much simpler in nature and requires limited image processing and pattern classification. These results suggested it could be an efficient and effective method to describe and to match articulated shapes.

关键词： Shape Histograms Robustness Databases Shape measurement Three dimensional displays Face

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