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International conference on Bio-engineering for Smart Technologies (BioSMART)

作者： Nikhil J. Dhinagar Mia Wilson Mehmet Celenk School of Electrical Engineering and Computer Science Ohio University Athens OH USA

Pre-processing steps are critical in automated image analysis systems developed to aid in diagnosis of skin lesion images. The main areas of concern include, but are not limited to, hair on the skin, variations in illumination and skin tone, and alignment of successive skin images. These artifacts can partially or completely obstruct a lesion being analyzed causing errors in classification or diagnosis. This paper focuses on an independent quantitative evaluation of an open source hair removal algorithm [1]. The different input parameters to the algorithm were tested to determine their optimal values. Percent error and signal to noise ratio are utilized as the error metrics for the experimental results. Other essential pre-processing steps are considered and provided at the end of this paper.

关键词： Hair Skin Lesions Signal to noise ratio image analysis Algorithm design and analysis Classification algorithms

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A Mask Regional Convolutional Neural Network Model for Segmenting Real Time Traffic images

A Mask Regional Convolutional Neural Network Model for Segme...

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International conference on Computing, Communication and Networking Technologies

作者： Vishakha Lall Chitransh Gaurav Rishabh Khanna Waheed Nangigadda Satyasai Jagannath Nanda Department of Electronics and Communication Engineering Malaviya National Institute of Technology Jaipur Rajasthan India

This paper deals with real time segmentation of traffic images using a Mask R-CNN model. The aim is to improve the performance of real time image segmentation, so that it can be effective even with noisy images captured by traffic cameras. The approach developed here comprises of image preprocessing, object detection followed by segmentation. Mask R-CNN model not only segments the image, but also surrounds the image with bounding boxes and assigns class names to the individual objects e.g. Car, Truck, Bus, Bicycle, Person etc. The model is trained with the annotated MS COCO Training dataset. To improve the performance of Mask R-CNN over noisy images, here pre-processing algorithms like Non Local Means (NLM) filter denoising and Median filter denoising are used. The testing is carried out on a subset of MS COCO Test dataset which comprises of only traffic images. The improved performance is demonstrated using parameters: increased correct object detections and corresponding confidence value, reduced incorrect object detections and corresponding confidence value, and an overall enhanced segment mask area accuracy.

关键词： image segmentation Noise reduction Object detection Training Load modeling Real-time systems Noise measurement

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Design of FPGA based horizontal velocity computation and image storage unit for lunar lander

Design of FPGA based horizontal velocity computation and ima...

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IEEE UP Section conference on Electrical Computer and Electronics (UPCON)

作者： Tanisha Bhatia Jayanta Laha Amit Maji Arindam Mal K. Subhalakshmi (Scientist) Laboratory For Electro Optics Systems Indian Space Research Organization Bangalore India

ISBN: (纸本)9781538630051

Space field has experienced vigorous advancement with respect to evolution of vision system, image storage and processing. Real time image processing has become one of the most important tools for navigation and landing for planetary and lunar missions. Information of horizontal velocity with high accuracy will be required to do accurate pin point landing. For the testability of such a system as well as to have the understanding of Lander dynamics, prior landing image sequences are required to initially testing the algorithm [1]. This paper deals with FPGA based processing on image sequence to find the relative velocity and also implements image Storage in a microSD card. Landing sequence is stored in SD card and post landing they are downloaded. These images provide a very useful information about lighting, lander dynamics to fine tune algorithm for future mission. Besides this image data serves the testability during various phases of testing during development.

关键词： Correlation Field programmable gate arrays Detectors Heuristic algorithms Two dimensional displays Moon Navigation

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Facial recognition system for automatic presence control in a classroom

Facial recognition system for automatic presence control in ...

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Iberian conference on Information systems and Technologies (CISTI)

作者： João Roberto de Toledo Quadros Fabio Paschoal Laercio Brito Gonçalves Centro Fed. de Ed. Tec. Celso Suckow da Fonseca Escola de Informática e Computação Rio de Janeiro Brasil Centro Fed. de Ed. Tec. Celso Suckow da Fonseca Escola de Inf. e Comput. Rio de Janeiro Brazil

In this paper is introduced a facial recognition system, based on mathematical methods, developed to act as the presence of students identifier in a classroom. It uses a recognition process in which seeks to extract relevant information from an image, to encode and compare them with another images of faces stored in an image database. Such image information representing a set of characteristics showing the variations between images of the obtained faces and contained in the image database. The Facial Recognition System consists of two processing modules: a training phase and a test phase, applied to a group of students in order to verify the utility of this algorithms for people recognizing.

关键词： Face recognition MATLAB image databases Process control Computational modeling image recognition Data mining

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Parallelization strategies for fast factorized backprojection SAR on embedded multi-core architectures

Parallelization strategies for fast factorized backprojectio...

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IEEE International conference on Microwaves, Communications, Antennas and Electronic systems, COMCAS

作者： M. Wielage F. Cholewa C. Riggers P. Pirsch H. Blume Institute of Microelectronic Systems Leibniz Universität Hannover Hannover Germany

ISBN: (纸本)9781538631706

This paper presents parallelization strategies for the implementation of imaging algorithms for synthetic aperture radar (SAR). Great emphasis is placed on time-domain based algorithms, namely the Global Backprojection Algorithm (GBP) and its accelerated version, the Fast Factorized Backprojection Algorithm (FFBP). Multi-core platforms are selected for implementation as some combine good performance results with moderate power consumption. The implemented algorithms support several types of parallelization, as the stages of the algorithms can be handled sequentially or interleaved. For the GBP algorithm three different data distribution schemes are investigated. For the FFBP algorithm a successive stage calculation method is compared with a combined calculation method. The performance is exemplary evaluated on the low cost/energy, yet powerful multi-core platform Odroid-XU4. All parallelization strategies show an almost linear speed-up with the number of used cores. Even though a specific multi-core platform is investigated, the design decisions are applicable for general multi-core architectures.

关键词： Signal processing algorithms Apertures Synthetic aperture radar image quality Complexity theory Approximation algorithms Computer architecture

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Lane Departure detection using image processing techniques

Lane Departure detection using image processing techniques

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International conference on Anti-Cybercrime (ICACC)

作者： Jamel Baili Mehrez Marzougui Ameur Sboui Samer Lahouar Mounir Hergli J. Subash Chandra Bose Kamel Besbes Department of Computer Engineering King Khalid University Saudi Arabia Faculty of Sciences of Monastir University of Monastir Tunisia Mettler Toledo Garvens Company Schwalbach Germany King Khalid University Abha Asir SA

ISBN: (纸本)9781509058150

Video sensors constitute a great innovation in the automotive sector and road safety as they contribute to the development of driver assistance systems. These video systems use image processing techniques to inform drivers of impending dangers. One such development is the Lane Departure Warning System (LDWS) which play a key role in the prevention from accidents. The main function of this system is the detection of lane boundary lines using artificial vision. In this paper, we present a feature-based method for lane detection. We simplify the process of edge detection by using a horizontal differencing filter. The detected edge points are grouped into lines with a modified Hough transform.

关键词： image edge detection Roads Transforms Filtering algorithms Vehicles Accidents

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image Segmentation of Microscopic Wastewater images using Phase Contrast Microscopy

Image Segmentation of Microscopic Wastewater Images using Ph...

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IEEE conference on systems, Process and Control (ICSPC)

作者： Nisar, Humaira Hang, Ho Yuen Siang, Soh Chit Khan, Muhammad Burhan Univ Tunku Abdul Rahman Fac Engn & Green Technol Dept Elect Engn Kampar Malaysia

ISBN: (纸本)9781509011810

image processing and analysis is a useful tool for monitoring of activated sludge wastewater treatment plants. However, its effectiveness is dependent on performance of the segmentation algorithms. The activated sludge wastewater plant can be monitored by image processing and analysis of images acquired through microscope using bright field microscopy and phase contrast microscopy. In this paper, we have investigated three segmentation algorithms which are channel based segmentation, edge based segmentation and Bradley based segmentation. The performance of the algorithms is assessed using the performance metric of accuracy. Forty gold approximations of ground truth images are manually prepared for comparing with the result for segmentation. Half of the forty images are acquired at lOx and rest at 20x objective magnification of the microscope. Edge based segmentation gives better results compared to other algorithms with accuracy of 0.972.

关键词： image segmentation phase contrast microscopy wastewater treatment edge detection filamentous bacteria

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Graph-Based Interpolation for Zooming in 3D Scenes

Graph-Based Interpolation for Zooming in 3D Scenes

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European Signal processing conference

作者： Pinar Akyazi Pascal Frossard Ecole Polytechnique Fcderalc de Lausanne (EPFL) Signal Processing Laboratory (LTS4) Lausanne Switzerland

In multiview systems, color plus depth format builds 3D representations of scenes within which the users can freely navigate by changing their viewpoints. In this paper we present a framework for view synthesis when the user requests an arbitrary viewpoint that is closer to the 3D scene than the reference image. On the target image plane, the requested view obtained via depth-image-based-rendering (DIBR) is irregularly structured and has missing information due to the expansion of objects. We propose a novel framework that adopts a graph-based representation of the target view in order to interpolate the missing image pixels under sparsity priors. More specifically, we impose that the target image is reconstructed with a few atoms of a graph-based dictionary. Experimental results show that the reconstructed views have better PSNR and MSSIM quality than the ones generated within the same framework with analytical dictionaries, and are comparable to the ones reconstructed with TV regularization and linear interpolation on graphs. Visual results, however, show that our method better preserves the details and results in fewer disturbing artifacts than the other interpolation methods.

关键词： Interpolation Dictionaries Three-dimensional displays image reconstruction Navigation Signal processing algorithms Signal processing

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MBSEM image Acquisition and image processing in LabView FPGA 23

MBSEM Image Acquisition and Image Processing in LabView FPGA

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23rd International conference on systems, Signals and image processing (IWSSIP)

作者： Rahangdale, Shammi Keijzer, Paul Kruit, P. Delft Univ Technol Dept Imaging Phys Delft Netherlands

ISBN: (纸本)9781467395557

Multi-beam scanning electron microscopy (MBSEM), has been developed to reduce the acquisition time by scanning multiple pixels simultaneously. The signal from the 14 x 14 beams is captured on a camera which reads out the position and intensity for each beam on the sample. But as we work with multiple beams and pixels we need a powerful technique for image acquisition and image processing algorithms. We use Field Programmable Gate Arrays (FPGA's), often used as an implementation platform for real time image acquisition and processing applications, because their structure is able to exploit spatial and temporal parallelism. This paper presents a technique for dealing with the various constraints of the camera and efficient mapping for image acquisition and processing operations on FPGA.

关键词： Microscopic Imaging and analysis 2D image acquisition MatLab and Lab View FPGA

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The 6th International conference on Computer Science and Computational Mathematics (ICCSCM 2017)

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Journal of Physics: conference Series 2017年第1期892卷

The ICCSCM 2017 (The 6th International conference on Computer Science and Computational Mathematics) has aimed to provide a platform to discuss computer science and mathematics related issues including Algebraic Geometry, Algebraic Topology, Approximation Theory, Calculus of Variations, Category Theory; Homological Algebra, Coding Theory, Combinatorics, Control Theory, Cryptology, Geometry, Difference and Functional Equations, Discrete Mathematics, Dynamical systems and Ergodic Theory, Field Theory and Polynomials, Fluid Mechanics and Solid Mechanics, Fourier Analysis, Functional Analysis, Functions of a Complex Variable, Fuzzy Mathematics, Game Theory, General Algebraic systems, Graph Theory, Group Theory and Generalizations, image processing, Signal processing and Tomography, Information Fusion, Integral Equations, Lattices, Algebraic Structures, Linear and Multilinear Algebra; Matrix Theory, Mathematical Biology and Other Natural Sciences, Mathematical Economics and Financial Mathematics, Mathematical Physics, Measure Theory and Integration, Neutrosophic Mathematics, Number Theory, Numerical Analysis, Operations Research, Optimization, Operator Theory, Ordinary and Partial Differential Equations, Potential Theory, Real Functions, Rings and Algebras, Statistical Mechanics, Structure Of Matter, Topological Groups, Wavelets and Wavelet Transforms, 3G/4G Network Evolutions, Ad-Hoc, Mobile, Wireless Networks and Mobile Computing, Agent Computing & Multi-Agents systems, All topics related image/Signal processing, Any topics related Computer Networks, Any topics related ISO SC-27 and SC- 17 standards, Any topics related PKI(Public Key Intrastructures), Artifial Intelligences(A.I.) & Pattern/image Recognitions, Authentication/Authorization Issues, Biometric authentication and algorithms, CDMA/GSM Communication Protocols, Combinatorics, Graph Theory, and Analysis of algorithms, Cryptography and Foundation of Computer Security, Data Base(D.B.) Management & Information Retr

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