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Applied Techniques in Tracking Moving Targets in Marine Using image processing

Open Journal of Marine Science 2016年第4期6卷 524-537页

作者： Hossein Kardan Moghaddam Ali Asghar Yarifard Birjand University of Technology Birjand Iran University of Bojnord Bojnord Iran

Moving objects tracking is one of the most used categories in the realm of machine vision that has attracted attention of so many researchers in recent decades. Video tracking has various applications in military industries, protective systems and machine vision. Target tracking algorithms vary according to their usages. In this paper, it has been attempted to discuss and analyze mobile target tracking techniques and algorithms in Marine.

关键词： Moving Objects Tracking Good Features for Track Contour

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OCR based feature extraction and template matching algorithms for Qatari number plate

OCR based feature extraction and template matching algorithm...

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International Conference on Computer systems and Industrial Informatics (ICCSII)

作者： Ali Farhat Ali Al-Zawqari Abdulhadi Al-Qahtani Omar Hommos Faycal Bensaali Abbes Amira Xiaojun Zhai College of Engineering Qatar University Doha Qatar Department of Computing and Mathematics University of Derby Derby UK

There are several algorithms and methods that could be applied to perform the character recognition stage of an automatic number plate recognition system; however, the constraints of having a high recognition rate and real-time processing should be taken into consideration. In this paper four algorithms applied to Qatari number plates are presented and compared. The proposed algorithms are based on feature extraction (vector crossing, zoning, combined zoning and vector crossing) and template matching techniques. All four proposed algorithms have been implemented and tested using MATLAB. A total of 2790 Qatari binary character images were used to test the algorithms. Template matching based algorithm showed the highest recognition rate of 99.5% with an average time of 1.95 ms per character.

关键词： Optical character recognition software Feature extraction Character recognition image segmentation Algorithm design and analysis Testing Classification algorithms

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Vectorization and Optimization of Fog Removal Algorithm

Vectorization and Optimization of Fog Removal Algorithm

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IEEE International Advance Computing Conference, IACC

作者： Krishna Swaroop Gautam Abhishek Kumar Tripathi M.V. Srinivasa Rao Uurmi Solutions Pvt. Ltd. Hyderabad India

ISBN: (纸本)9781467382878

Some of the image processing algorithms are verycostly in terms of operations and time. To use these algorithmsin real-time environment, optimization and vectorization arenecessary. In this paper, approaches are proposed to optimize, vectorize and how to fit the algorithm in low memory space. Here, optimized anisotropic diffusion based fog removal algorithm isproposed. Fog removal algorithm removes the fog from imageand produces an image having better visibility. This algorithmhas many phases like anisotropic diffusion, histogram stretchingand smoothing. Anisotropic diffusion is an iterative process thattakes nearly 70% of time complexity of the whole algorithm. Here, optimization and vectorization of the anisotropic diffusion is proposed for better performance. However, optimizationtechniques cost some accuracy but that can be neglected forsignificant improvement in performance. For memory constraintenvironment, a method is proposed to process the entire blockof image and maintains the integrity of operations. Resultsconfirm that with our optimization and vectorization approaches, performance is increased up to 90 fps (approximately) for VGAimage on one of the image processing DSP simulator. Even if, system doesn't have vector operations, the proposed optimizationtechniques can be used to achieve better performance (2× faster).

关键词： Optimization Anisotropic magnetoresistance Signal processing algorithms Histograms Smoothing methods Real-time systems image restoration

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A Tone Mapping algorithm suited for analog-signal real-time image processing

A Tone Mapping algorithm suited for analog-signal real-time ...

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Ph.D. Research in Microelectronics and Electronics (PRIME)

作者： Lan Shi David Hadlich Christopher Soell Thomas Ussmueller Robert Weigel Institute for Electronics Engineering University of Erlangen-Nuremberg Erlangen Germany Institute for Mechatronics University of Innsbruck Innsbruck Austria

ISBN: (纸本)9781509004942

This work presents a Tone Mapping Operator (TMO) which adjusts the High Dynamic Range (HDR) of image sensor data to the limited dynamic range of conventional displays with analog signal processing. It is based on Photographic Tone Reproduction (PTR) and suitable for analog circuit design in a CMOS image sensor in order to reduce the hardware cost and operation time for real-time image processing. For this reason, the characteristic advantage and calculation limitation of analog technology are considered in the TMO algorithm proposal. Furthermore, the appropriate modelling is built and simulated in Verilog-A. The function of the algorithm is feasible for analog processing. The frequency of the analog TMO is upper 52MHz while it consumes 55mW. The simulation results of test images are compared with the digital global TMO and the proposed analog TMO provides a reasonable similar dynamic range compression.

关键词： Signal processing algorithms image sensors Algorithm design and analysis Dynamic range Analog circuits image processing Real-time systems

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An Iterative Approach for image Coding using Mojette Transform

An Iterative Approach for Image Coding using Mojette Transfo...

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International Conference Radioelektronika

作者： Jakub Oravec L'ubo? Ovseník Ján Turán Department of Electronics and Multimedia Communications Faculty of Electrical Engineering and Informatics Technical University Kosice Kosice Slovakia

ISBN: (纸本)9781509016754

The Mojette transform has found several applications to this date. Some of them, such as systems for distributed file storage, or digital tomography systems exploit one of the main properties of Mojette transform - redundancy. However, sometimes this feature is not desirable. This is a case of applying Mojette transform for image encoding, or decoding. In these applications, higher rate of redundancy can cause longer processing times and bigger size of image data. These problems can be solved by group of procedures, which would work in a determined manner. In this article, we tried to propose a set of algorithms, which would reduce the drawbacks of Mojette transform, but exploit its advantages in the field of image coding.

关键词： image coding image reconstruction Mojette transform redundancy

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WIT: Window Intensity Test Detector and Descriptor

WIT: Window Intensity Test Detector and Descriptor

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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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Implementation on a FPGA of Edge detection algorithm in medical image and tumors characterization

Implementation on a FPGA of Edge detection algorithm in medi...

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IEEE International Conference on Multimedia Computing and systems (ICMCS)

作者： Issam Bouganssa Mohamed Sbihi Mounia Zaim Laboratory LASTIMI High School of Technology SALE Mohammed V University in RABAT MOROCCO

This paper presents the implementation of an adaptive contour detection filter and tumor Characterization on field programmable gate array (FPGA) using a combination of hardware and software components. The proposed system locates contours from a calculation of Gradient in preferred directions while quantifying the importance of the outline with a wise thresholding. The dedicated algorithm is implemented in an FPGA Xilinx Spartan 6, and results are displayed in a VGA monitor. The FPGA offers the necessary performance for image processing and video in real time, while maintaining the flexibility of the system to support an adaptive algorithm. Simulation results and synthesis proposed edge detection processor on FPGA chip demonstrate the efficiency of proposed architecture.

关键词： image edge detection Field programmable gate arrays image color analysis Real-time systems Software algorithms Synchronization

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Removal of spurious edges from thinned character image: A survey

Removal of spurious edges from thinned character image: A su...

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International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)

作者： Nikita Khatri Mukesh M. Goswami Information Technology Dharamsinh Desai Institute of Technology Nadiad India

ISBN: (纸本)9781467399401

Thinning is an important pre-processing step in many shape based character and word recognition systems. The one-pixel wide thinned character image is useful for identifying the shape of various strokes used to from the character, which is helpful in many applications such as word spotting in the document image, content-based document image retrieval, character and word classification, etc. However, all thinning algorithms generate unwanted spurious edges. As a result, the shape of the stroke is distorted which in turn limits the accuracy of stroke recognition in characters. Thus, removal of these spurious edges from thinned image will improve the state of the art in stroke recognition and benefit many applications stated above. This paper presents a survey of various techniques used for removal of spurious edges from thinned character image and tries to identify the challenges and research gaps in the problem.

关键词： image edge detection Shape Algorithm design and analysis Skeleton Classification algorithms Noise measurement Character recognition

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ONBOARD processing OF HYPERSPECTRAL DATA IN THE REMOTE SENSING systems BASED ON HIERARCHICAL COMPRESSION

COMPUTER OPTICS

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COMPUTER OPTICS 2016年第4期40卷 543-551页

作者： Gashnikov, M. V. Glumov, N. I. Samara Natl Res Univ Geoinformat & Informat Secur Subdept Samara Russia Samara Natl Res Univ Res Lab Adv Technol Remote Sensing Samara Russia RAS Branch FSRC Crystallog & Photon Image Proc Syst Inst Samara Russia

The article is devoted to solving the problem of onboard processing of hyperspectral data for subsequent transmission via the communication channels in systems of remote sensing. A compression method based on the hierarchical grid interpolation is used as the basic algorithm of data compression necessary to reduce the amount of transmitted information. In this article, the method is adapted for onboard data processing. The specificity of hyperspectral imaging is taken into account when developing an algorithm of stabilization of the rate of compressed data formation. Computational experiments show that the efficiency of the proposed algorithms is sufficient for the transmission of hyperspectral remote sensing data under the limited capacity of the buffer memory and the communication channel bandwidth.

关键词： hyperspectral images data compression method of hierarchical grid interpolation on-Board processing stabilization of the rate of data stream formation

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Embedded Vision : Enhancing Embedded Platform For Face Detection System

Embedded Vision : Enhancing Embedded Platform For Face Detec...

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IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

作者： Kushsairy, A. K. Kamaruddin, Mohd Khairi Nasir, Haidawati Safie, Sairul I. Bakti, Zulkifli Abdul Kadir Isa, Mohd Ridzuan Khan, Sheroz Univ Kuala Lumpur British Malaysian Inst Kuala Lumpur Selangor Malaysia Univ Kuala Lumpur Malaysian Inst Informat Technol Kuala Lumpur Selangor Malaysia Univ Kuala Lumpur Malaysian Inst Ind Technol Johor Baharu Malaysia Int Islamic Univ Malaysia Kuala Lumpur Selangor Malaysia

ISBN: (纸本)9781467392204

Face detection is an important step in any face recognition systems, for the purpose of localizing and extracting face region from the rest of the images. The algorithms were built in C/C++ code and collaborated with OpenCV library. However, face detection system require high performance resources due to heavy real time measurement, in additional, it needs to be run on embedded platform. Therefore, platform system that host the face detection need to be tuned and enhanced to gain better performance from the standard settings and if possible, as good as desktop or laptop performance. In this paper, we propose two methods for enhancing the performance of the embedded platform. The two methods are OpenCV libraries multiprocessing and RAM tuning. The results shows that from one of the boards, Board 1 with quad core ARM Cortex-A7 processor capable to achieve almost as fast as laptop with Intel i3 processor. It can be concluded that embedded platform is capable to be a replacement for conventional computer system.

关键词： embedded vision image processing computer vision face detection

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