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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems XII"

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Intended Motion Estimation Using Fuzzy Kalman Filtering for UAV image Stabilization with Large Drifting 13

Intended Motion Estimation Using Fuzzy Kalman Filtering for ...

引用

conference on image processing - algorithms and systems xiiI

作者： Xin Tiantian Zhao Hongying Liu Sijie Wang Lu Peking Univ Inst Remote Sensing & Geog Informat Syst Beijing 100871 Peoples R China

ISBN: (纸本)9781628414899

Videos from a small Unmanned Aerial Vehicle (UAV) are always unstable because of the wobble of the vehicle and the impact of surroundings, especially when the motion has a large drifting. Electronic image stabilization aims at removing the unwanted wobble and obtaining the stable video. Then estimation of intended motion, which represents the tendency of global motion, becomes the key to image stabilization. It is usually impossible for general methods of intended motion estimation to obtain stable intended motion remaining as much information of video images and getting a path as much close to the real flying path at the same time. This paper proposed a fuzzy Kalman filtering method to estimate the intended motion to solve these problems. Comparing with traditional methods, the fuzzy Kalman filtering method can achieve better effect to estimate the intended motion.

关键词： UAV image stabilization intended motion estimation large drifting fuzzy Kalman filtering

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Enterprise Crowdsourcing Platform for Geospatial image Analysis 23

Enterprise Crowdsourcing Platform for Geospatial Image Analy...

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23nd Signal processing and Communications Applications conference (SIU)

作者： Kahraman, Fatih Huroglu, Cengiz Imamoglu, Mumin Ozcan, Busra Y. Kalkan, Muhammed I. Hocaoglu, Muhammet A. Ozturk, Ergin Kurt, Binnur TUBITAK BILGEM BTE Kocaeli Turkey Omega Egitim & Danismanlik Istanbul Turkey

ISBN: (纸本)9781467373869

Although today's computing systems present powerful solutions to process big data with the help of recent advances in cloud computing technologies, many problems remain unsolved due to lack of acceptable algorithms. For instance, searching for a lost plane or damage assessment after earthquake on a high-resolution remote sensing satellite image are unsolved problems. In recent years, in order to solve such unsolved problems, a group of expert and nonexpert people called crowd is utilized. An expert in the group is not expected to solve whole problem. Instead, geospatial image is partitioned in space and each expert in the pool studies the partition assigned to him/her. The solution to the original problem is obtained by merging the partial solutions. There are two open issues: i) How to partition the space and how to distribute the partitions to the crowd ii) How to merge the partial solutions. In this study, we devise several algorithms to address these issues, introduce our web-based platform, and crowd-sourcing implementation.

关键词： Crowdsourcing image Exploitation Remote Sensing

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Strain measurement using 3D stereo image correlation 2

Strain measurement using 3D stereo image correlation

引用

2nd IEEE International conference on Innovations in Information, Embedded and Communication systems, ICIIECS 2015

作者： Kumari, Gitanjali Banik, Sunanda Godwin Premi, M.S. Department of Electronics and Telecommunication Engineering Sathyabama University Chennai India

ISBN: (纸本)9781479968183

The demand of 3D image is growing sharply in the recent trends. Digital image processing performs image processing on digital images by the use of computer algorithms. Strain measurement is a big challenge for 3D images in the field of image processing. This paper proposed a noble algorithm for strain measurement of 3D stereo image using image processing for applications like non-invasive bio-sensing, non-contact measurements of space crafts, faults in pipeline industries, etc. Strain measurement is made possible with the help of filtration techniques and digital image correlation. © 2015 IEEE.

关键词： image correlation

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Performance analysis of pre-processing filters for underwater images

Performance analysis of pre-processing filters for underwate...

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International conference on Robotics, Automation, Control and Embedded systems (RACE)

作者： Srividhya, K. Ramya, M. M. Ctr Automat & Robot Hindustan Inst Technol & Sci Madras Tamil Nadu India

ISBN: (纸本)9788192597430

In oceanic environment, uneven illumination, turbulence in water and floating particles make underwater image capture, a challenge. Vision sensors attached with the autonomous underwater vehicles, themselves cause light dispersion and shadows in the ocean floor. Although, several computer vision algorithms have been developed, effective analysis of the algorithms both quantitatively and qualitatively have not been done. This paper analyses the existing methods for the inherent problems and provides a framework for underwater image processing. Initially, for non-uniform illumination correction, homomorphic, anisotropic and bilateral filtering techniques are compared for contrast equalization. Contrast enhancement is done using contrast limited adaptive histogram equalization (CLAHE) with adaptive histogram clip. Finally, Haar wavelet and Symlet are compared for adaptive smoothing, elimination of remaining noise and for improving edge detection. Performance is assessed by computing peak signal noise ratio (PSNR), contrast to noise ratio (CNR), image enhancement metric (IEM), and absolute mean brightness error (AMBE). Histograms are computed before and after applying preprocessing filters, for evaluating the proposed methodology. A combination of homomorphic filtering, CLAHE and haar wavelet denoising provides better results over other methods for underwater images.

关键词： underwater image processing homomorphic filter bilateral filter anisotropic diffusion CLAHE wavelet denoising

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Performance evaluation of image noise reduction computing on a mobile platform 15

Performance evaluation of image noise reduction computing on...

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International conference on Embedded Computer systems Architectures Modeling and Simulation

作者： Hannuksela, Jari Niskanen, Matti Turtinen, Markus Univ Oulu Dept Comp Sci & Engn SF-90100 Oulu Finland Visidon Ltd Oulu 90570 Finland

ISBN: (纸本)9781467373111

Noise reduction is one of the most fundamental digital image processing challenges. On mobile devices, proper solutions for this task can significantly increase the output image quality making the use of a camera even more attractive for customers. The main challenge is that the processing time and energy efficiency must be optimized, since the response time and the battery life are critical factors for all mobile applications. To identify the solutions that maximizes the real-time performance, we compare several different implementations in terms of computational performance and energy efficiency. Specifically, we compare the OpenCL based design with multithreaded and NEON accelerated implementations and analyze them on the mobile platform. Based on the results of this study, the OpenCL framework provides a viable energy efficient alternative for implementing computer vision algorithms.

关键词： Energy efficiency Performance Evaluation Battery Life image quality moving platform Multithreading image noise Reaction Time computational performance Noise reduction Mobile Platform processing time key factors images

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A New Descriptor for Retrieving 3D Objects Applied in Congestive Heart Failure Diagnosis

A New Descriptor for Retrieving 3D Objects Applied in Conges...

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Brazilian Symposium on Computer Graphics and image processing (SIBGRAPI)

作者： Helton H. Bíscaro Hellyan Oliveira Leila C. C. Bergamasco Fátima L. S. Nunes Laboratory of Computer Applications for HealthCare University of Sâo Paulo São Paulo Brazil

ISBN: (纸本)9781509035694;9781509035687

Content-Based image Retrieval (CBIR) aims to retrieve similar graphical objects from large databases based on their contents. CBIR requires definition of descriptors, algorithms that condense information from the object in order to represent it usually as a real number or a vector in Rn. This article presents the Spectral Descriptor, a new descriptor designed for retrieving three-dimensional geometric objects applied to aid the diagnosis of Congestive Heart Failure (CHF). Our descriptor is based on techniques of compressive sensing and rewrites the coordinates of 3D objects vertices on a basis on which they have a sparse representation. Tests with surfaces reconstructed from heart MRI images, specifically from left ventricle, show that the descriptor has presented a good performance, reaching an average precision of approximately 85% for CHF and 71% for non-CHF cases, maintaining high levels of precision. Results also showed that the Spectral Descriptor can decrease the high dimensionality of features vectors in CBIR systems.

关键词： Three-dimensional displays Feature extraction Heart Sparse matrices image reconstruction Matrix decomposition Databases

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A multiscale contrast direction adaptation approach for the fusion of multispectral and multifocus infrared images 12

A multiscale contrast direction adaptation approach for the ...

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conference on Electro-Optical and Infrared systems - Technology and Applications xii and Quantum Information Science and Technology

作者： Karali, A. Onur Cakir, Serdar Aytac, Tayfun TUBITAK BILGEM ILTAREN TR-06800 Ankara Turkey

ISBN: (纸本)9781628418583

Infrared (IR) cameras are widely used in latest surveillance systems because spectral characteristics of objects provide valuable information for object detection and identification. To assist the surveillance system operator and automatic image processing tasks, fusing images in IR band is proposed as a solution to increase situational awareness and different fusion techniques are developed for this purpose. Proposed techniques are generally developed for specific scenarios because image content may vary dramatically depending on the spectral range, the optical properties of the cameras, the spectral characteristics of the scene, and the spatial resolution of the interested targets in the scene. A general purpose IR image fusion technique that is suitable for real-time applications is proposed. The proposed technique can support different scenarios by applying a multiscale detail detection and can be applied to images captured from different spectral regions of the spectrum by adaptively adjusting the contrast direction through cross checking between the source images. The feasibility of the proposed algorithm is demonstrated on registered multi-spectral and multi-focus IR images. Fusion results are presented and the performance of the proposed technique is compared with the baseline fusion methods through objective and subjective tests. The technique outperforms baseline methods in the subjective tests and provide promising results in objective quality metrics with an acceptable computational load. Besides, the proposed technique preserves object details and prevents undesired artifacts better than the baseline techniques in the image fusion scenario that contains four source images.

关键词： Contrast direction adaptation infrared imaging image fusion multi-spectral images multi-focus infrared cameras surveillance systems

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FPGA-based two-processor CPU for PLC

FPGA-based two-processor CPU for PLC

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International conference on Signals and Electronic systems, ICSES

作者： Mirosław Chmiel Wojciech Kloska Dariusz Polok Jan Mocha Silesian University of Technology Institute of Electronics Gliwice Poland Institute of Medical Technology and Equipment ITAM Zabrze Poland

The paper reveals a two-processor Central processing Unit (CPU) designed for Programmable Logic Controllers (PLC). The CPU is made up of a 1-bit (bit-type) processor and a 32-bit (word-type) processor. The both processors are operated totally independently from one another and information between them is exchanged via a exchange memory module. The 1-bit processor collaborates with edge detectors whilst the 32-bit processor is dedicated for implementation of timers and counters as well as enables execution of arithmetic operations on 32-bit integers and floating point variables. The both processors have been developed as specialized structures capable of executing control routines developed in the Instruction List (IL) programming language in line with requirements of the EN 61131-3 standard. The study presents a new approach to development of the exchange memory module and edge detectors as well as implementation of timers and counters. It is the approach that combines both software and hardware solutions, which makes them more efficient in terms of time performance as compared to already known solutions. Finally the CPU was designed with use of the hardware description language and then implemented in FPGA resources. This paper discloses results of the synthesis and execution times achieved for both individual instructions and benchmarks routines running on the newly designed CPU. The accomplished results make it possible to conclude that the CPU can be considered as an alternative solution to other units available from the market whilst the capability to execute algorithms developed in strict conformity to EN 61131-3 standard is its advantage.

关键词： image edge detection Detectors Central processing Unit Hardware Process control Random access memory Field programmable gate arrays

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Multiview image sequence enhancement 13

Multiview image sequence enhancement

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conference on image processing - algorithms and systems xiiI

作者： Jovanov, Ljubomir Luong, Hiep Ruzic, Tijana Philips, Wilfried Univ Ghent iMinds IPI B-9000 Ghent Belgium

ISBN: (纸本)9781628414899

Realistic visualization is crucial for more intuitive representation of complex data, medical imaging, simulation and entertainment systems. Multiview autostereoscopic displays are great step towards achieving complete immersive user experience. However, providing high quality content for this type of displays is still a great challenge. Due to the different characteristics/settings of the cameras in the multivew setup and varying photometric characteristics of the objects in the scene, the same object may have different appearance in the sequences acquired by the different cameras. images representing views recorded using different cameras in practice have different local noise, color and sharpness characteristics. View synthesis algorithms introduce artefacts due to errors in disparity estimation/bad occlusion handling or due to erroneous warping function estimation. If the input multivew images are not of sufficient quality and have mismatching color and sharpness characteristics, these artifacts may become even more disturbing. The main goal of our method is to simultaneously perform multiview image sequence denoising, color correction and the improvement of sharpness in slightly blurred regions. Results show that the proposed method significantly reduces the amount of the artefacts in multiview video sequences resulting in a better visual experience.

关键词： multiview denoising restoration sharpness improvement color matching

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Design of a Flexible High-performance Real-time SAR Signal processing System

Design of a Flexible High-performance Real-time SAR Signal P...

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2016 IEEE 13th International conference on Signal processing（ICSP2016）

作者： Ting Jin Hongxian Wang Hongwei Liu National Laboratory of Radar Signal Processing XiDian University

Signal processing subsystem is the core of a radar system, the performance and the design cycle of which could directly influence the implementation of the whole system Therefore, how to realize a high-performance flexible universa real-time SAR signal processing system is one of the main challenges nowadays. The paper proposes the design architecture and implementation of a high-performance real-time SAR signa processing system with the TI's latest multi-core DSP TMS320C6678 based on the VPX 3U standard. It shows the strong computation ability, stability, easy reconstruction and good adaptability to a variety of imaging algorithms. By the successful application cases of the multi-mode, multi-polarization multi-resolution space-borne and airborne real-time SAR imaging systems, its flexibility and high-performance could be adequately proved. Moreover, our experiment result indicates that a SAR RD algorithm takes only 21.55 s for a 0.2m*0.2m resolution 4GB(16K×32K complex points) image, achieving realtime performance.

关键词： Real-time Signal processing TMS320C6678 Universal SAR Imaging High-performance

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