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

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Automatic thresholding method for edge detection algorithms

Automatic thresholding method for edge detection algorithms

引用

International conference on Electronics, Computers and Artificial Intelligence (ECAI)

作者： Petre Anghelescu Vlad Gabriel Iliescu Constantin Mara Mihai-Bogdan Gavriloaia Department of Electronics Communications and Computers University of Pitesti Pitesti Romania Telecommunications Dpt. Electronics Politehnica University of Bucharest Bucharest Romania

This paper describes an efficient edge detection algorithm that can be used as a plug-in for digital image processing systems. The proposed algorithm uses a method based on iterative clustering targeting a reduced number of operations. The algorithm splits the image into two parts, background and foreground, and calculates the mean value for each of them. Based on these results, the new threshold value will be obtained and looped until the mean values remain unchanged. The only pixels affected by the change are the pixels with values between the previous two thresholds, so only they have to be redistributed to a new class. As a result, only few operations are needed in order to obtain the desired threshold. All the algorithms and results obtained in this paper are developed and tested using the C# programming language.

关键词： image edge detection Clustering algorithms Algorithm design and analysis Digital images Histograms Filtering Gray-scale

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An extendible design exploration tool for supporting approximate computing techniques

An extendible design exploration tool for supporting approxi...

引用

International conference on Design and Technology of Integrated systems in Nanoscale Era (DTIS)

作者： Mario Barbareschi Federico Iannucci Antonino Mazzeo Department of Electrical Engineering and Information Technologies University of Naples Federico II CeRICT scrl - Centro Regionale Information Communication Technology

Today, Approximate Computing represents one of the most important breakthrough in many scientific research areas. It exploits the inherent tolerance property of algorithms in order to perform approximate computations that have an acceptable accuracy and, at the same time, better performance than original versions. Previous work in the literature demonstrated the effectiveness of the trade-off between accuracy and performance, such as energy consumption, time and occupied area for integrated circuits, and many approximate computing methodologies were proposed. Unfortunately, introduced approaches fit in specific application domains and a general and systematic methodology to automatically define approximate algorithms is still an open challenge. Taking into account previous considerations, we make a key contribution in this direction by introducing a novel Approximate Computing methodology. Indeed, in this paper, we present an extended version of idea IDEA, a design exploration tool, which makes use of a source-to-source manipulation tool in order to apply code transformations that approximate the computation of a C/C++ algorithm. IDEA searches for configurations of a given algorithm that are characterized by an approximation error which is less than a user-defined threshold. Aiming at show the efficacy of IDEA, we configure it to find approximate variants of an algorithm by applying rounding techniques on numeric operations and we optimize two image processing algorithms, reducing the hardware overhead of their equivalent implementations.

关键词： Approximation algorithms Algorithm design and analysis Signal processing algorithms Software algorithms Libraries Hardware

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WIT: Window Intensity Test Detector and Descriptor

WIT: Window Intensity Test Detector and Descriptor

引用

IEEE International conference on Industrial and Information systems

作者： T. W. U. Madhushani D. H. S. Maithripala J. V. Wijayakulasooriya Research Unit Sri Lanka Technological Campus CO 10500 Sri Lanka Department of Mechanical Engineering University of Peradeniya KY 20400 Sri Lanka Department of Electrical and Electronic Engineering University of Peradeniya KY 20400 Sri Lanka

In this paper, we present a novel algorithm for feature point detecting and matching. Algorithm is robust to image noise and computationally simple, hence it is more suitable for on-board processing robotics applications. We introduce two repeatability measurements, that can be used in training phase to optimize parameters of the algorithm. Proposed detection algorithm is free from extracting multiple points around the same feature point. We suggest a technique to overcome the effect of scale variation in detection stage, for a compensation of computational simplicity. In matching stage, we directly utilize resulting data from detection, which makes the overall process much faster. We procure a technique for matching point error suppression, for a compensation of computational simplicity. Simulation results provided in the paper illustrate the accuracy and efficiency of the proposed algorithm.

关键词： Feature extraction Detectors Cameras Detection algorithms Robot sensing systems Detection algorithms Manipulator sensing systems Cameras Feature extraction Descriptors detector Strength tests compensated Feature Points algorithms image noise

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Real-time speech communication system based on optimized G.723.1

Real-time speech communication system based on optimized G.7...

引用

International conference on Audio, Language and image processing, ICALIP

作者： Guoliang Chen Wanggen Wan Kang Han Haoyu Chen Institute of Smart City Shanghai University Shanghai China

ISBN: (纸本)9781509006557

A qualified speech communication is quite important in modern communication. Thus, the implementation of security algorithms is also very important to achieve real-time applications. In this paper, we design a robust and full-duplex real-time speech communication system based on Texas Instrument's 32-bit floating point DSP TMS320C6748. We use ITU-T G.723.1 as the audio codec in this system. According to the hardware of the system and also to meet the requirement of high-quality and real-time communication, several methods are introduced in this paper to optimize the algorithm. Through the optimization, time spending in compression and decompression reduce from more than 1000ms to about 10ms which guarantees a real-time communication. Our designed system has been successfully used for the speech communication of railway system.

关键词： Digital signal processing Speech Decoding Real-time systems Random access memory Codecs Speech coding

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Inversion of GPR data: 2D forms reconstruction for cavities based on born approximation, TSVD regularization and image processing algorithms

Inversion of GPR data: 2D forms reconstruction for cavities ...

引用

International conference on Information Technology for Organizations Development (IT4OD)

作者： Houda Harkat Saad Dosse Bennani Anas Mansouri Abdellatif Slimani Faculty of Science and Technology Laboratory Renewable Energy and Intelligent Systems Fez Morocco

This paper represents a literature review of research works concerning the reconstruction of forms of buried objects in an homogeneous soil, applied for the reconstruction of forms of underground cavities. First, we will set modeling as integral function, of the nonlinear inverse problem to solve. In general, this problem is solved through a regularization technique, the TSVD technical (Trunced Singular Value Decomposition), which is more efficient than the method of Thikhonov, because of its simplicity and minimal cost calculation. Regularization techniques are employed because the experimental data are still affected by noise. Secondly, we will discuss the influence of the choice of certain parameters, the quality of the reconstructed tomographic images. Third, we will take advantage from the image processing module of the Opencv Library to estimate the shape of the buried cavities, based on the treatment of the resulting images, using Douglas-Peucker algorithm. The case studied here is the one of a dispersive low conductivity half-space, where is embedded the anomaly which is a cavity filled with a dielectric.

关键词： Mathematical model image reconstruction Cavity resonators Scattering Approximation methods Approximation algorithms Inverse problems

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Iterative-Grouping and image PTS for PAPR reduction in OFDM system

Iterative-Grouping and image PTS for PAPR reduction in OFDM ...

引用

International conference on Signal processing and Integrated Networks (SPIN)

作者： Alok Joshi Khushboo Nigam Shubham Bansal Department of ECE JIIT NOIDA

ISBN: (纸本)9781467391986

Orthogonal Frequency Division Multiplexing (OFDM) which is widely used transmission technique for all 4G communication systems faces a major issue of Peak to average power ratio (PAPR). Partial Transmit Sequence (PTS) is the most preferred technique for the reduction of PAPR. But it involves complex searching algorithms for finding the most optimal combinations of OFDM signals. Increased complexity with any increase in the number of sub-blocks is a major drawback of PTS. In this paper, Iterative-Grouping and image-PTS (IGI-PTS) technique is proposed which mainly focuses on reducing the computational complexity involved in search of optimal phase factors. It is combination of two basic grouping and imaging techniques and further using iterations to simplify the searching process when the numbers of sub-blocks are in significantly high.

关键词： Partial transmit sequences Peak to average power ratio Signal processing Computational complexity Wireless communication

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License plate detection using point of interest detectors and descriptors

License plate detection using point of interest detectors an...

引用

International conference on Telecommunications and Signal processing (TSP)

作者： Karel Horak Jan Klecka Petr Novacek Department of Control and Instrumentation Brno University of Technology Brno Czech Republic

ISBN: (纸本)9781509012893

A license plate detection task (LPD) is an important stage in the License plate recognition (LPR) implementations for automated transport systems. This paper is focused on a theory behind various interest points (IPs) detectors and region descriptors often used in applications of image processing including the LPR apps among others. We have carried out wide analysis on behaviour of several selected detectors and descriptors listed here: Harris, Shi&Tomasi, MSER, FAST, SURF and BRISK. These algorithms have been implemented, tested and compared each other from a point of view of their stability and repeatability. Our experiments were performed on a license plate localization task and carried out over an extensive gallery of real vehicle images.

关键词： Licenses Detectors Feature extraction Algorithm design and analysis Eigenvalues and eigenfunctions Measurement image resolution

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image Feature Matching and Its Parallelization Using OpenMP

Image Feature Matching and Its Parallelization Using OpenMP

引用

International Symposium on Collaborative Technologies and systems

作者： Nupur Kohli Teng-Sheng Moh Department of Computer Science San Jose State University San Jose CA USA

Parallel Computing has been gaining interest nowadays due to physical constraints preventing frequency scaling. Therefore, in order to achieve high performance on multicore systems, programmers need to focus on parallelizing their programs. Although there are many available parallelized APIs written by experts that should improve coding, they do not automatically guarantee good performance. This paper focuses on understanding factors that help to achieve better performance. This paper specifically focuses on SIFT based feature matching for various image collections. SIFT works by extracting information from images and then later compares this information for feature matching. Since SIFT performs CPU intensive computations, it requires parallelization in order to be feasible. This paper focuses on exploring a shared memory model based API known as Open multi-processing (OpenMP) to accelerate existing serial SIFT based image matching. In this paper, we were able to achieve a speedup of ~2× by using various OpenMP features. The paper later discusses factors like scalability and speedup and how multi-threading impacts them. We also discovered the importance of different levels of parallelism and their effects on performance.

关键词： Parallel processing Multicore processing Synchronization Feature extraction Computational modeling Computer vision Approximation algorithms

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A Fast Filter Tracker against Serious Occlusion

A Fast Filter Tracker against Serious Occlusion

引用

IEEE International conference on Bioinformatics and Biomedicine

作者： Libo Zhang Tiejian Luo Yihan Sun Lin Yang University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781509016129

Many tracking algorithms applied in medical image processing, such as observing the movement of cells, have a great improvement in accuracy and robustness. However, it is difficult to deal with the large area occlusion and complete occlusion. In this paper, we propose a fast scale adaptive tracking algorithm based on correlation filtering. Except tracking the change of the target scale quickly, our method can also deal with the problem of large area occlusion and the complete disappearance of the target. Compared with the outstanding scale adaptive tracking method, the proposed method demonstrates higher performances in terms of the accuracy of tracking the target and the real-time performance.

关键词： Biomedical imaging Real-time systems Robustness Visualization Biomedical imaging real-time systems Visualization Occlusion Robustness Adaptive tracking Medical image processing Targets

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Hardware-in-the-loop simulation platform for image-based object tracking method using small UAV

Hardware-in-the-loop simulation platform for image-based obj...

引用

conference on Digital Avionics systems (DASC)

作者： Seung-hyeon Cheon Seok-wun Ha Yong-ho Moon Dept. of Aerospace Engineering Gyeongsang National University Jinju Rep. of Korea Dept. of Aerospace and Software Engineering/ERI Gyeongsang National University Jinju Rep. of Korea

ISBN: (纸本)9781509025244

In this paper, a hardware-in-the loop simulation (HILS) platform is presented for verifying the image-based object tracking method adopted in the small Unmanned Aerial Vehicle (sUAV). The platform is constructed by image processing module, scene generation module, and flight control module. In the image processing module, the motion of target object is measured by using the speeded-up robust features (SURF) algorithm and the feature matching technique. And then, control command is provided to allow the target object to be tracked by sUAV automatically. The JMAVSIM software developed by PX4 dev-team is used in the proposed platform to simulate the flight of sUAV and provide virtual scene and flight data. Pixhawk based on PX4 firmware which is a popular flight control computer is used as flight control module in the proposed platform. Experimental results show that the object tracking method based on sUAV is effectively tested and evaluated in the proposed HILS platform.

关键词： Object tracking Aerospace control Feature extraction Target tracking Object recognition Software algorithms

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