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检索条件"任意字段=International Conference on Computer Vision and Image Processing, CVIP 2016"

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Design of 3D Visualization System Based on VTK Utilizing Marching Cubes and Ray Casting Algorithm 8

Design of 3D Visualization System Based on VTK Utilizing Mar...

引用

8th international conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)

作者： Tan, Jianhao Chen, Jia Wang, Yaonan Li, Lu Bao, Yujie Hunan Univ Coll Elect & Informat Engn Changsha Hunan Peoples R China

ISBN: (纸本)9781509007684

Medical image visualization, also known as medical image 3D reconstruction technique, is a theory, method and technique which use computer graphics, image processing, computer vision and human-computer interaction techniques to reconstruct 3D stereoscopic image from the received 2D medical images (such as MRI, CT, etc.), then display it on-screen and interact with it. Currently, medical image 3D visualization technology is a hot in the medical image processing, and it is of great significance in theory research and clinical applications. This paper mainly introduces the key techniques in the medical image 3D visualization and designs a system of the medical image 3D visualization based on VTK. The system integrates Marching Cubes and Ray Casting visualization algorithm, implements the function of DICOM format of medical images file read, 3D reconstruction and display. The system can be applied to medical diagnosis, medical education and medical research, etc.

关键词： VTK Medical image 3D visualization Marching Cubes Ray Casting

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REDUCTION OF FALSE ALARMS TRIGGERED BY SPIDERS/COBWEBS IN SURVEILLANCE CAMERA NETWORKS 23

REDUCTION OF FALSE ALARMS TRIGGERED BY SPIDERS/COBWEBS IN SU...

引用

23rd IEEE international conference on image processing (ICIP)

作者： Hebbalaguppe, R. McGuinness, K. Kuklyte, J. Albatal, R. Direkoglu, C. O'Connor, N. E. Insight Ctr Data Analyt Dublin Ireland TCS Innovat Labs Delhi India

ISBN: (纸本)9781467399616

The percentage of false alarms caused by spiders in automated surveillance can range from 20-50%. False alarms increase the workload of surveillance personnel validating the alarms and the maintenance labor cost associated with regular cleaning of webs. We propose a novel, cost effective method to detect false alarms triggered by spiders/webs in surveillance camera networks. This is accomplished by building a spider classifier intended to be a part of the surveillance video processing pipeline. The proposed method uses a feature descriptor obtained by early fusion of blur and texture. The approach is sufficiently efficient for real-time processing and yet comparable in performance with more computationally costly approaches like SIFT with bag of visual words aggregation. The proposed method can eliminate 98.5% of false alarms caused by spiders in a data set supplied by an industry partner, with a false positive rate of less than 1%.

关键词： Spider detection False alarm reduction computer vision Surveillance Descriptor fusion

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Automated Detection and Classification Techniques of Acute Leukemia using image processing: A Review 2

Automated Detection and Classification Techniques of Acute L...

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international conference on Science and Technology-computer (ICST)

作者： Bagasjvara, R. G. Candradewi, Ika Hartati, Sri Harjoko, Agus Univ Gadjah Mada DCSE FMIPA Yogyakarta Indonesia

ISBN: (纸本)9781509043576

Hematological disorders of leukocytes (white blood corpuscles) are very frequent in medical practices. Each year, the number of new cases of leukemia increased with a high mortality rate what can cause a delay in diagnosis and treatment of leukemia. The hematologist faces difficulty in classifying white blood cells included cancerous leukemia cells. Currently, the diagnosis of hematological disorder was made by microscopic analysis of peripheral blood smear by hematological experts. However, this kind of diagnosis is complex, costly process, time- consuming and inherently subjective, hence to avoid such problems a classification technique based on computer vision is required. This document provides a survey of many kinds of literature which talk about leukemia detection using image processing. In this year, many improvements were made in this field. With this document, we provide a new perspective from many kinds of literature so future research can be developed effectively for their research.

关键词： Leukemia Segmentation Features Extraction white blood cell classification

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DESIGN OF MULTI-SENSORS INTEGRATED NAVIGATION SYSTEM 13

DESIGN OF MULTI-SENSORS INTEGRATED NAVIGATION SYSTEM

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13th IEEE international computer conference on Wavelet Active Media Technology and Information processing (ICCWAMTIP)

作者： Wu, Ping Zhai, Wen-Jing Song, Yi-Bo Zhao, Xiong-Bo Jiang, Peng-Long Natl Key Lab Sci & Technol Aerosp Intelligent Con Beijing 100039 Peoples R China Beijing Aerosp Automat Control Inst Beijing 100039 Peoples R China

ISBN: (纸本)9781509061266

In order to meet the requirement of high-compact and hard-real-time outdoor navigation system, to solve the problem of invalid satellite navigation during GPS-denied period, a multi-sensors integrated navigation system is designed in this study. The system is fused with accelerometer, gyroscope, satellite receiver, binocular vision camera and barometer. The Kalman Filter, which is designed for model error estimation, fuses sensors to optimize and correct the inertial navigation error. This system is designed based on programmable SoC ZYNQ7000 which embed dual-core ARM in FPGA. One core is used for image processing and binocular vision navigation, the other is used for strapdown inertial and integrated navigation. Sensors drive control and DMA data transmission are accomplished by FPGA. Finally, an outdoor car test, which ran in high-building urban environment, verified that this integrated navigation system works stably and can be significantly applicable to real engineering project.

关键词： Integrated navigation binocular vision multi-sensors embedded system ZYNQ7000

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Point cloud registration with surface descriptors

Point cloud registration with surface descriptors

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2016 international conference on Interfaces and Human computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and computer Graphics, Visualization, computer vision and image processing, CGVcvip 2016

作者： De La Fraga, Luis Gerardo López-Escogido, Daniel CINVESTAV Computer Science Department Av. IPN. No. 2508 Mexico City07360 Mexico

ISBN: (纸本)9789898533524

In computer vision a common problem is the registration of 3D data, which consists in to minimize the sum of squares of the distance between metrical marker correspondences. Commonly used marker correspondences are points, in two or more datasets. The most popular algorithm used to solve this problem is the Iterative Closest Point (ICP) due to its easy implementation and fast convergence. In this paper is introduced a methodology using some features of ICP and a general-use-optimizer like Levenberg-Marquardt. The proposed approach also uses vectors as surface descriptors, and those vectors are used to describe planes, cylinders, and cones, contained in synthetic and real shapes. Additionally in the sphere model is used its center point. Using this information, it is proposed the minimization of an objective function which gives more weight to the part of surface alignment. Experimental results show us that the registration using surface descriptors is more efficient, it can be solved both with fewer iterations and less execution time, than using only points.

关键词： Iterative methods

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Feature reduction in heterogeneous data sets via sequential search techniques

Feature reduction in heterogeneous data sets via sequential ...

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2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Anderson, Ronald C. Baker, Mary C. Department of Electrical and Computer Engineering Texas Tech University LubbockTX United States Department of Math and Computer Science Thiel College GreenvillePA United States

ISBN: (纸本)1601324421

In the clinical setting, pattern recognition techniques promise significant improvement for disease state detection. However, many medical conditions are not reliably described by a single defining feature. In such heterogeneous groups, capturing synergistic effects among features becomes vital to classification success. Additionally, many commonly employed feature selection techniques, such as statistical tests, may not work well when applied to problems involving heterogeneous groups. This treatise explores the application of Sequential Forward Floating Search (SFFS) techniques in the high-dimensional data sets common to the neuroimaging field. Using both multimodal neuroimaging data and calibrated synthetic data sets, the project seeks to characterize SFFS’s effectiveness versus established statistical approaches common in the literature. © CSREA Press.

关键词： Neuroimaging

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A process for text recognition of generic identification documents over cloud computing

A process for text recognition of generic identification doc...

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2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Valiente, Rodolfo Sadaike, Marcelo T. Gutiérrez, José C. Soriano, Daniel F. Bressan, Graça Ruggiero, Wilson V. Laboratory of Computer Architecture and Networks Escola Politénica da Universidade de São Paulo São Paulo SP Brazil

ISBN: (纸本)1601324421

- A process for accurate text recognition of generic identification documents (ID) over cloud computing is presented. It consists of two steps, first, a smartphone camera takes a picture of the ID, which is sent to a cloud server;second, the image is processed by the server and the results are sent back to the smartphone. In the cloud server, image rectification, text detections and word recognition methods are combined to extract all non-manuscript information from the ID. Rectification is based on an improved Hough Transform and the text detection approach consists of a contrast-enhanced Maximally Stable Extremal Region (MSER), using heuristics constraints to remove non-text regions. Experimental results demonstrate several advantages in the proposed process. © CSREA Press.

关键词： Cloud computing

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image processing IN INTELLIGENT MEDICAL ROBOTIC SYSTEMS 7

IMAGE PROCESSING IN INTELLIGENT MEDICAL ROBOTIC SYSTEMS

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7th Scientific conference on international Participation Information -Measuring Equipment and Technologies (IME and T

作者： Shashev, Dmitriy Natl Res Tomsk State Univ Tomsk 634050 Russia

The paper deals with the use of high-performance computing systems with the parallel-operation architecture in intelligent medical systems, such as medical robotic systems, based on a computer vision system, is an automatic control system with the strict requirements, such as high reliability, accuracy and speed of performance. It shows the basic block-diagram of an automatic control system based on a computer vision system. The author considers the possibility of using a reconfigurable computing environment in such systems. The design principles of the reconfigurable computing environment allows to improve a reliability, accuracy and performance of whole system many times. The article contains the brief overview and the theory of the research, demonstrates the use of reconfigurable computing environments for the image preprocessing, namely morphological image processing operations. Present results of the successful simulation of the reconfigurable computing environment and implementation of the morphological image processing operations on the test image in the MATLAB Simulink.

关键词： Medical imaging

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MLP neural network based approach for facial expression analysis

MLP neural network based approach for facial expression anal...

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2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Pourebadi, Maryam Pourebadi, Masume Department of Computer Science Kent State University KentOH United States Department of Robotic Engineering AU-TNB Tehran Iran

ISBN: (纸本)1601324421

Human Facial Expression Recognition and Analysis has been an active topic in computer science for over two decades. In recent years, several different approaches have been proposed for developing methods of automatic facial expression analysis. However there are numerous researches on facial image analysis, the performance of expression recognition is still not acceptable due to the variety of human expression and enormous variations in facial images. In this paper an improved method for facial expression analysis by multilayer perceptron (MLP) is presented. The proposed method combines modified facial action units for emotion recognition by MLP. The system also applies principle component analysis for dimension reduction. To evaluate, the proposed approach is tested on two databases which are, the Cohn-Kanade facial expression and the facial expression recognition FER-13 databases. Method has compared to the related works and experimental results clearly demonstrate the efficiency of the proposed algorithm. © CSREA Press.

关键词： Emotion Recognition

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On selecting the best unsupervised evaluation techniques for image segmentation

On selecting the best unsupervised evaluation techniques for...

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2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Duong, Trung H. Hoberock, Lawrence L. Center for Advanced Infrastructure and Transportation Rutgers State University of New Jersey New BrunswickNJ United States Mechanical and Aerospace Engineering Dept Oklahoma State University StillwaterOK United States

ISBN: (纸本)1601324421

One fundamental difficulty with evaluation of segmentation is that there is no objective, clear definition of good or bad segmentation. Even worse, different observers often do not agree on how to segment the same image. In this paper, we present six unsupervised metrics in the literature that are commonly used to evaluate segmentation results. Then we propose a framework to find the best comparison metric in the sense that this metric is the most consistent with the ground-truth provided by manual segmentation and, at the same time, is the most sensitive to random segmentation results. We believe a "good" metric should produce a high score on the ground-truth segmentation, as well as produce a low score on random segmentation. We employ the best unsupervised metric to compare results from different image segmentation methods on the Berkeley Segmentation Dataset and Benchmark, which consists of 300 color images of natural scenes. © CSREA Press.

关键词： image segmentation

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