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Implementation of edge-enhancement nonlinear anisotropic diffusion filtering using different CUDA memory models

Implementation of edge-enhancement nonlinear anisotropic dif...

引用

IEEE International symposium on Signal processing and Information Technology (ISSPIT)

作者： M. H. Attia S. A. Elshehaby A. S. Elmaghraby Department of Biomedical Engineering Alexandria University Computer Engineering and Computer Science department University of Louisville KY USA

graphics processing Units (GPUs) are used today as affordable energy-efficient method of acceleration for computationally exhaustive algorithms to decrease execution time exploiting the power of parallel programing techniques. In the field of medical imaging, GPUs became crucial acceleration method for computationally exhaustive algorithms. This paper presented the effect of memory optimization on the performance of CUDA accelerated medical image processing algorithms. Edge-enhancement nonlinear anisotropic diffusion is used as a case study to show the effect of utilization of different memory types on the performance.

关键词： Kernel graphics processing units Anisotropic magnetoresistance Instruction sets Throughput Optimization image edge detection

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A Comparison of Global Illumination Methods Using Perceptual Quality Metrics

A Comparison of Global Illumination Methods Using Perceptual...

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Giovani Balen Meneghel Marcio Lobo Netto Departamento de Engenharia de Sistemas Eletronicos Universidade de São Paulo São Paulo Brazil

This work aims to build a comparison basis for analyzing global illumination methods. We have compared six state-of-the-art global illumination methods, ranging from Monte Carlo Path Tracing techniques to Density Estimation methods such as Progressive Photon Mapping, and the mixture approach Vertex Connection and Merging, using nine test scenes with very different characteristics, including many different light types, illumination conditions and BRDFs, exploring many different light scattering events. In order to compare results, the perceptual quality metrics SSIM and HDR-VDP-2 were used. We provide a complete set of convergence rate curves and results for all test scenes and all analyzed methods. We also discuss strategies to generate reference images for each case. We concluded that in general cases the overhead introduced by BPT and VCM is well compensated by the quality of the produced images, however VCM can handle more interesting effects. We also showed there are usual cases such as interiors with strong indirect illumination in which Light Tracing method excels.

关键词： Lighting Measurement Photonics Rendering (computer graphics) image color analysis Light sources Estimation

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A Highly Accurate Level Set Approach for Segmenting Green Microalgae images

A Highly Accurate Level Set Approach for Segmenting Green Mi...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Vinicius R. Pereira Borges Bernd Hamann Thais G. Silva Armando A.H. Vieira Maria Cristina F. Oliveira Univ. of California Davis USA University of California Davis Davis CA USA Federal University of São Carlos São Carlos SP Brazil Instituto de Ciências Matemáticas e de Computação University of São Paulo São Carlos SP Brazil

We present a method for segmenting 2D microscopy images of freshwater green microalgae. Our approach is based on a specialized level set method, leading to efficient and highly accurate algae segmentation. The level set formulation of our problem allows us to generate an algae's boundary curve as the result of an evolving level curve, based on computed background and algae regions in a given image. By characterizing the distributions of image intensity values in local regions, we are able to automatically classify image regions into background and algae regions. We present results obtained with our method. These results are very promising as they document that we can achieve highly accurate algae segmentations when comparing ours against manually segmented images (segmented by an expert biologist) and with results derived by other approaches covered in the literature.

关键词： Algae Level set image segmentation image edge detection Eigenvalues and eigenfunctions Shape

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Fast and Effective Geometric K-Nearest Neighbors Multi-frame Super-Resolution

Fast and Effective Geometric K-Nearest Neighbors Multi-frame...

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Hilario Seibel Siome Goldenstein Anderson Rocha Inst. Fed. do Espirito Santo Serra Brazil Institute of Computing University of Campinas Brazil

Multi-frame super-resolution is possible when there is motion and non-redundant information from a sequence of low-resolution input images. Remote sensors, surveillance videos and modern mobile phones are examples of devices able to easily gather multiple images of a same scene. However, combining a large number of frames into a higher resolution image may not be computationally feasible by complex super-resolution techniques. We discuss herein a set of simple and effective high-performance algorithms to fastly super-resolve several low-resolution images in an always-on low-power environment, with possible applications in mobile computing, forensics, and biometrics. The algorithms rely on geometric k-nearest neighbors to decide which information to consider in each high-resolution pixel, have a low memory footprint and run in linear time as we increase the number of low-resolution input images. Finally, we suggest a minimum number of input images for multi-frame super-resolution, considering that we expect a good response as fast as possible.

关键词： image reconstruction Interpolation Spatial resolution Mobile handsets Feature extraction Videos

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Improving the Attractiveness of Faces in images

Improving the Attractiveness of Faces in Images

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Tatiane Silvia Leite José Mario de Martino School of Electrical and Computer Engineering - FEEC State University of Campinas Campinas Brazil

Advertising images increasingly require attractive faces to attract the public's attention. Several studies have been conducted to enhance facial attractiveness in images. While some researchers suggest changes in geometrical shape, others advocate modifying the appearance of the facial skin, however, there have been few attempts to explore the possibility of combining both techniques. This paper sets out a novel method of doing this: facial geometry and skin texture modifications. Our method, which is based on supervised machine learning techniques, is able to improve the attractiveness of faces in images while preserving the original features of the picture. We also demonstrate the effectiveness of this combination by carrying out two different evaluations. Accordingly, we analyze the significance of each change that is designed to improve attractiveness by comparing the original image with a) the image in which only the facial geometry has been modified, b) the image in which only the texture skin has been modified and finally c) the image with both modifications. Our results reveal that the combination of geometric and skin texture modifications results in the most significant enhancement. It also demonstrates that modifications to the skin texture can be regarded as more important to obtain an attractive face than changes to the facial geometry. Additionally, evaluations are provided to quantify the gain in facial attractiveness and it should be pointed out that our method is the first to employ these, since there are no references to such tests in the literature.

关键词： Skin Geometry Training image color analysis Feature extraction Hair Machine learning algorithms

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Detection of Leukocytes in Intravital Video Microscopy Based on the Analysis of Hessian Matrix Eigenvalues

Detection of Leukocytes in Intravital Video Microscopy Based...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Bruno C. Gregório da Silva Ricardo J. Ferrari Juliana Carvalho Tavares Universidade Federal de Sao Carlos Sao Carlos SP BR Federal University of São Carlos São Carlos SP Brazil Universidade Federal de Minas Gerais Belo Horizonte MG BR

Detection of rolling and adhered leukocytes in intravital microscopy image sequences is an important task in studies of leukocyte-endothelial interactions in the microcirculation of living small animals under different inflammatory conditions. This procedure is usually performed by visual assessment of the image sequences. However, despite being tedious and time consuming, this procedure is prone to the inter- and intra-observer variability. In this work, we developed an automated computer system for the detection of leukocytes in intravital video microscopy. First, the video frames were processed by the bilateral filter to reduce noise while preserving sharp edges. Then, a demons-based image registration technique was applied to minimize animal motion. Finally, the detection of leukocytes was performed by local analysis of Hessian matrix Eigen values. Quantitative and qualitative evaluation of the proposed method were conducted by using 220 video frames obtained from an experimental study performed on the brain microvasculature of mice. The proposed method was compared with the template matching technique using precision, recall and F1-Score measures. For the Hessian-based method, the results of precision, recall and F1-Score were, respectively, equal to 0.81, 0.86, and 0.83. For direct comparison, the results obtained for the template matching technique were 0.86, 0.73 and 0.79.

关键词： Microscopy Eigenvalues and eigenfunctions Animals image sequences image registration Visualization Shape

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Panoramic image mosaic based on SURF algorithm using OpenCV

Panoramic image mosaic based on SURF algorithm using OpenCV

引用

IEEE International symposium on Intelligent Signal processing

作者： Jiaxi Wang Junzo Watada Production and Systems Waseda University Kitakyushu Fukuoka Japan

ISBN: (纸本)9781479972548

Panoramic image mosaic is a technology to match a series of images which are overlapped with each other. Panoramic image mosaics can be used for different applications. image mosaic has important values in various applications such as photogrammetry, computer vision, remote sensing image processing, medical image analysis and computer graphics. image mosaics also can be used in moving object detection with a dynamic camera. After getting the panoramic background of the video for detection, we can compare every frame in the video with the panoramic background, and finally detect the moving object. To build the image mosaic, SURF (Speeded Up Robust Feature) algorithm is used in feature detection and OpenCV is used in the programming.

关键词： Cameras Feature extraction Mathematical model Detectors image color analysis image sequences Correlation

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Simple and Efficient Approximate Nearest Neighbor Search Using Spatial Sorting

Simple and Efficient Approximate Nearest Neighbor Search Usi...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Marcelo de Gomensoro Malheiros Marcelo Walter Center for Exact and Technological Sciences UNIVATES Lajeado Brazil Institute of Informatics UFRGS Porto Alegre Brazil

Finding the nearest neighbors of a point is a highly used operation in many graphics applications. Recently, the neighborhood grid has been proposed as a new approach for this task, focused on low-dimensional spaces. In 2D, for instance, we would organize a set of points in a matrix in such a way that their x and y coordinates are at the same time sorted along rows and columns, respectively. Then, the problem of finding closest points reduces to only examining the nearby elements around a given element in the matrix. Based on this idea, we propose and evaluate novel spatial sorting strategies for the bidimensional case, providing significant performance and precision gains over previous works. We also experimentally analyze different scenarios, to establish the robustness of searching for nearest neighbors. The experiments show that for many dense point distributions, by using some of the devised algorithms, spatial sorting beats more complex and current techniques, like k-d trees and index sorting. Our main contribution is to show that spatial sorting, albeit a still scarcely researched topic, can be turned into a competitive approximate technique for the low-dimensional k-NN problem, still being simple to implement, memory efficient, robust on common cases, and highly parallelizable.

关键词： Sorting Arrays graphics processing units Standards Time complexity

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Topology-preserving equivalent parallel and sequential 4-subiteration 2D thinning algorithms

Topology-preserving equivalent parallel and sequential 4-sub...

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International symposium on image and Signal processing and Analysis

作者： Kálmán Palágyi Gábor Németh Péter Kardos Department of Image Processing and Computer Graphics University of Szeged Szeged Hungary

Thinning is a frequently applied technique for extracting centerlines from 2D binary objects. Parallel thinning algorithms can remove a set of object points simultaneously, while sequential algorithms traverse the boundary of objects, and consider the actually visited single point for possible removal. Two thinning algorithms are called equivalent if they produce the same result for each input picture. This paper presents the very first pair of equivalent 2D sequential and parallel subiteration-based thinning algorithms. These algorithms can be implemented directly on a conventional sequential computer or on a parallel computing device. Both of them preserve topology for (8, 4) pictures sampled on the square grid.

关键词： Signal processing algorithms Topology Algorithm design and analysis Geometry image color analysis Signal processing Parallel algorithms

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CivisAnalysis: Interactive Visualization for Exploring Roll Call Data and Representatives' Voting Behaviour

CivisAnalysis: Interactive Visualization for Exploring Roll ...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Francisco G. de Borja Carla M.D.S. Freitas Institute of Informatics UFRGS - Federal University of Rio Grande do Sul Porto Alegre Brazil

We present Civis Analysis, a web-based system for the visualization of roll calls of Brazil's Chamber of Deputies that can give citizens a unique view of the country's political history. Covering roll calls of six legislatures as well as six presidential elections, Civis Analysis combines roll call visualization techniques with techniques for the visualization of temporal data. In this work, we provide a visualization of roll call results as a n-dimensional space, coupling votes with the spectrum of deputies and the votes of a set of deputies with the spectrum of roll calls. We also provide a long-term political timeline integrated with election data (election results and political alliances). Our tool supports textual and visual filtering and includes auxiliary visualizations that provide an overview of the political scenario regarding deputies, parties, coalitions and their behavior along time. We also report a remote user study conducted to evaluate Civis Analysis.

关键词： Data visualization Nominations and elections Inspection Government Principal component analysis image color analysis Algorithm design and analysis

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