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A fast histogram estimation based on the Monte Carlo method for image binarization 5

A fast histogram estimation based on the Monte Carlo method ...

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5th international conference in image Processing and Communications, IP&C 2013

作者： Lech, Piotr Okarma, Krzysztof Teclaw, Mateusz West Pomeranian University of Technology Szczecin Department of Signal Processing and Multimedia Engineering 26. Kwietnia 10 Szczecin71-126 Poland

ISBN: (纸本)9783319016214

In the paper the idea of fast histogram estimation is proposed which is based on the application of the Monte Carlo method. Presented method can be useful for fast image binarization especially for low computational efficiency solutions e.g. autonomous mobile robots. Proposed method has been compared with full image analysis and the obtained estimates have been used for threshold determination and binarization using well-known Otsu method. © Springer international Publishing Switzerland 2014.

关键词： Monte Carlo methods

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Active contour segmentation based on approximate entropy: Application to cell membrane segmentation in confocal microscopy

Active contour segmentation based on approximate entropy: Ap...

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7th international conference on Bio-Inspired systems and signal Processing, BIOsignalS 2014 - Part of 7th international Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2014

作者： Histace, Aymeric Bonnefoye, Elizabeth Garrido, Luis Matuszewski, Bogdan J. Murphy, Mark ETIS UMR 8051 CNRS ENSEA Cergy-Pontoise University 95000 Cergy France Image Processing Group Universitat de Barcelona Barcelona Spain ADSIP Research Centre University of Central Lancashire Preston United Kingdom Liverpool John Moores University Liverpool United Kingdom

ISBN: (纸本)9789897580116

Segmentation of cellular structures is of primary interest in cell imaging for cell shape reconstruction and to provide crucial information about possible cell morphology changes during radiotherapy for instance. From the particular perspective of predictive oncology, this paper reports on a novel method for membrane segmentation from single channel actin tagged fluorescence confocal microscopy images, which remains a challenging task. Proposed method is based on the use of the Approximate Entropy formerly introduced by Pincus embedded within a Geodesic Active Contour approach. Approximate Entropy can be seen as an estimator of the regularity of a particular sequence of values and, consequently, can be used as an edge detector. In this prospective study, a preliminary study on Approximate Entropy as an edge detector function is first proposed with a particular focus on the robustness to noise, and some promising membrane segmentation results obtained on confocal microscopy images are also shown. Copyright © 2014 SCITEPRESS - Science and technology Publications. All rights reserved.

关键词： image segmentation

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On Color image Quality Assessment Using Natural image Statistics

On Color Image Quality Assessment Using Natural Image Statis...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Mounir Omari Mohammed El Hassouni Hocine Cherifi Abdelkaher Ait Abdelouahad LRIT URAC 29 University of Mohammed V-AgdaI Rabat Morocco LE21 UMR 6306 CNRS University of Burgundy Dijon France

Color distortion can introduce a significant damage in visual quality perception, however, most of existing reduced-reference quality measures are designed for gray scale images. In this paper, we consider a basic extension of well-known image-statistics based quality assessment measures to color images. In order to evaluate the impact of color information on the measures efficiency, two color spaces are investigated: RGB and CIELAB. Results of an extensive evaluation using TID 2013 benchmark demonstrates that significant improvement can be achieved for a great number of distortion type when the CIELAB color representation is used.

关键词： image color analysis Distortion measurement Colored noise Gray-scale Visualization Nonlinear distortion

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Computer Vision based Method to Detect Fire with Color Variation in Temporal Domain

Computer Vision Based Method to Detect Fire with Color Varia...

引用

international IEEE conference on signal-image Technologies and internet-based System

作者： Ung Hwang Jechang Jeong Gwanggil Jeon Department of Electronics and Computer Engineering Hanyang University Seoul Korea Department of Embedded Systems Engineering Incheon National University Incheon Korea

ISBN: (纸本)9781479979790

Because of false detection rate, many fire detection algorithm cannot easily become a part of alarm monitoring system, so in this paper, we proposed to detect fire precisely with color variation in temporal domain to reduce false detection rate. By capturing special characteristic of fire in temporal domain, we can get reliable experimental result tested by 24 video sequences. With our algorithm, we can detect fire in more than 90% of cases tested by fire and non-fire 24 sequences, and also makes false detection less than 10%. And most of false detection are shown in unusual videos that have fire becoming extinguished and dancing people with moving camera.

关键词： Fires image color analysis Detection algorithms Discrete wavelet transforms Video sequences Mathematical model Computers

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Online Evaluation System of image Segmentation 8

Online Evaluation System of Image Segmentation

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8th international conference on Intelligent systems and Knowledge Engineering (ISKE)

作者： Khai Nguyen Peng, Bo Li, Tianrui Chen, Qin Southwest Jiaotong Univ Sch Informat Sci & Technol Chengdu 610031 Peoples R China Sichuan Prov Peoples Hosp Chengdu 610072 Peoples R China

ISBN: (纸本)9783642549274;9783642549267

Over the past few decades, many applications have been developed for quantify the performance of image segmentation algorithms. However, applying standard interactive segmentation software for large image datasets would be an extremely laborious and a time-consuming task. In this chapter, we present an online evaluation framework for analysis and visualization features via internet communication that serves as a remote system. One of the features of the online evaluation system is the combination of MATLAB and Java to provide benefit platform that create the application with advanced mathematical computation as well as a well-designed graphical interface. This framework provides a web-based tool for validating the efficiency of segmentation algorithms. Experimental results show the possible ways in order to transfer MATLAB algorithm into a MATLAB license-free that make algorithm developed within MATLAB run all cross the platform and available on internet. In addition, the implementation methodology reported can be reused for other similar software engineering tasks.

关键词： image segmentation Online system MATLAB and Java Evaluation

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Osteoporosis Diagnosis Using Fractal Analysis and Support Vector Machine

Osteoporosis Diagnosis Using Fractal Analysis and Support Ve...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Abdessamad Tafraouti Mohammed El Hassouni Hechmi Toumi Eric Lespessailles Rachid Jennane Faculty of Sciences University of Mohammed V Rabat Morocco Univ. Orléans I3MTO Laboratory Orléans France

The objective of this paper lies on the characterization of osteoporosis disease using fractal analysis of X-Ray images. The method consists of a pre-processing step followed by a feature extraction based on the fractional Brownian motion (fBm) model. The Support Vector Machine (SVM) was used as a classifier to distinguish between two populations composed of Osteoporotic Patients (OP) and Control Cases (CC). Our proposed method achieved an accuracy classification rate of 95%, which means that it offers a good discrimination between OP patients and CC subjects.

关键词： Bones Support vector machines Feature extraction Kernel X-ray imaging Accuracy Quantization (signal)

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Second Order Stationarity and Spatiochromatic Properties of Natural images

Second Order Stationarity and Spatiochromatic Properties of ...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Edoardo Provenzi Julie Delon Yann Gousseau Baptiste Mazin Université Paris Descartes UMR CNRS Paris France Télécom ParisTech TCI CNRS Paris France

In this contribution we show that two basic assumptions on the covariance matrices of color images are enough to explain the appearance of spatiochromatic features given by Fourier descriptors in the luminance plus color opponent channels. The first of these assumptions is second order stationarity while the second one is commutativity between color correlation matrices. The validity of these assumptions are experimentally studied on two large image databases. As a lateral result of this study, we also provide novel data to support an exponential decay law of the spatiochromatic covariance between pairs of pixels as a function of their spatial distance instead of the commonly assumed power-law behavior.

关键词： Covariance matrices Databases image color analysis Principal component analysis Correlation Redundancy Eigenvalues and eigenfunctions

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Improved SPIHT Algorithm

Improved SPIHT Algorithm

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international IEEE conference on signal-image Technologies and internet-based System

作者： Humberto de Jesús Ochoa Domínguez Vianey Guadalupe Cruz Sanchez Osslan Osiris Vergara Villegas Universidad Autónoma de Ciudad Juárez Ciudad Juárez Chihuahua Mexico Universidad Autonoma de Ciudad Juarez Juarez Chihuahua MX

An improved SPIHT algorithm that combines the SPIHT and the sub bands threshold calculation to reduce the number of comparison operations, without sacrificing the reconstructed image quality, is proposed. After applying discrete wavelet transform to the image, the threshold of each independent sub band is calculated. The scanning of the sets inside a sub band is determined by the magnitude of the thresholds that establish a hierarchical scanning not only for the set of coefficients with large magnitude, but also, for the sub bands. The proposed algorithm uses the set partitioning technique to sort the transformed coefficients. Results show that the proposed algorithm significantly reduces the number of comparison operations in the sorting passes while maintaining the visual quality and PSNR of the recovered image.

关键词： image coding Sorting Bit rate Discrete wavelet transforms PSNR Visualization

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Implementation of Unsupervised Statistical Methods for Low-Quality Iris Segmentation

Implementation of Unsupervised Statistical Methods for Low-Q...

引用

international IEEE conference on signal-image Technologies and internet-based System

作者： Meriem Yahiaoui Emmanuel Monfrini Bernadette Dorizzi Institut Mines-Telecom Telecom SudParis SAMOVAR CNRS UMR(5175) Evry France

In this paper, we explore the use of advanced statistical models for unsupervised segmentation of challenging eye images. A previous work has shown the superiority of Triplet Markov Field (TMF) over HMF for segmenting challenging eye region but TMF implementation is computationally very expensive. To enable faster processing while preserving performance, we investigate in this paper Hidden Markov Chain (HMC) and Pair wise Markov Chain (PMC). We developed novel adequate image scanning procedures and initialization steps for implementing these models and extensive experiments on challenging images of the ICE2005 database show that the use of HMC with the snail scan and Histogram Initialization enhances the quality of segmentation comparing to OSIRIS-V4 based on contour approach or TMF model.

关键词： image segmentation Iris recognition Markov processes Iris Histograms Hidden Markov models Computational modeling

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Using Contrast and Directional Information for Retinal Vessels Segmentation

Using Contrast and Directional Information for Retinal Vesse...

引用

international IEEE conference on signal-image Technologies and internet-based System

作者： Maria Frucci Daniel Riccio Gabriella Sanniti Di Baja Luca Serino Istituto Calcolo e Reti ad Alte Prestazioni CNR Napoli Italy Università di Napoli Federico II Napoli Italy Ist. di Cibernetica E. Caianiello Italy

In this paper we present a method to segment retinal vessels based on the use of the watershed transform and of the contrast map and the directional map built for the retina image. Pixels belonging to a single region of the watershed transform are assigned a unique gray-level and a unique direction. Each region of the watershed transform is also assigned a unique contrast value, computed as the maximum difference in gray-level with respect to its adjacent regions. Regions with positive value in the contrast map are interpreted as non vessel regions, while for the remaining regions directional information is used to identify the retinal vessels. The algorithm has been tested on the DRIVE database producing in general satisfactory results.

关键词： Transforms Retinal vessels image segmentation Standards Databases Biomedical imaging

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