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Discrimination of Haploid and Diploid Maize Seeds Based on Deep Features

Discrimination of Haploid and Diploid Maize Seeds Based on D...

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IEEE Signal processing and communications Applications (SIU)

作者： Emrah Dönmez Mühendislik Fakültesi İnönü Üniversitesi Malatya Türkiye

ISBN: (数字)9781728172064

ISBN: (纸本)9781728172071

One of the main processes in in vivo maternal haploid breeding method which is widely used in hybrid maize breeding in recent years is the separation of haploid and diploid individuals. Although different approaches have been proposed to make this distinction, the R1-nj color marker is widely and successfully used. The R1-nj color marker allows the visual separation of haploid and diploid individuals during the seed period. Nowadays, this distinction is done manually, causing loss of time and labor as well as high error. In this study, an open access dataset consisting of 3,000 maize seed images was used. The deep features from the FC6, FC7 and FC8 fully connected layers of the AlexNet architecture are classified with the support vector machine. 10-fold cross-validation test was used to evaluate model performances. Experimental results showed that the best classification performance is possible with 89.50% accuracy using deep features obtained from the FC6 fully connected layer.

关键词： Support vector machines Kernel Mathematical model In vivo image color analysis Convolutional neural networks visualization

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image transmission over Gilbert-Elliot and ITU fading channels using DVB-T2 channel coding and QPSK-OFDM

Image transmission over Gilbert-Elliot and ITU fading channe...

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IEEE Signal processing and communications Applications (SIU)

作者： Edmond Nurellari Erhan A. İnce Electrical and Electronic Engineering Eastern Mediterranean University Turkey

In this work, a concatenated forward error correction (FEC) scheme together with Orthogonal Frequency Division Multiplexing (OFDM) have been used for effective transmission of data/images over additive and fading channels. With a Bose Chaudhuri Hocquenghem (BCH) code as the outer code and a Low Density Parity Check (LDPC) code as the inner code, the transmission has been simulated over both the Gilbert-Elliot and ITU Rayleigh fading channels. The FEC parameters assumed throughout the simulations were obtained from the DVB-T2 standard and the Base Band (BB) frames were created by making use of shortening and zero-padding concepts. The results which have been presented in terms of BER and psycho-visual performances show the resilience of the FEC schemes and OFDM to channel impairments. The BER performances attained over the Gilbert-Elliot Channel (a channel that introduces burst errors when in the bad state) using LDPC only and BCH-LDPC concatenated coding indicated that the outer BCH coding will start to achieve a much lower BER after an SNR of 5 dB. Over the ITU-A Rayleigh fading channel it was observed that the performance increment due to the outer BCH encoder only become apparent after 6 dB when compared to the rate ¼ LDPC only coded system BER performance. Over the Gilbert-Elliot channel a BCH-LDPC coded QPSK-OFDM system would provide a BER of 3×10 -4 at 6 dB while the same BER for the ITU Vehicular-A channel was possible at 6.6 dB.

关键词： Parity check codes Bit error rate Forward error correction Digital video broadcasting Fading Signal to noise ratio Channel coding

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1st International conference on Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2023

1st International Conference on Advanced Computing, Machine ...

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1st International conference on Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2023

ISBN: (纸本)9783031472206

The proceedings contain 46 papers. The special focus in this conference is on Advanced Computing, Machine Learning, Robotics and Internet Technologies. The topics include: Galactic Simulation: visual Perception of Anisotropic Dark Matter;Protocol Anomaly Detection in IIoT;Agricultural Informatics & ICT: The Foundation, Issues, Challenges and Possible Solutions—A Policy Work;a Guava Leaf Disease Identification Application;text to image Generation Using Attentional Generative Adversarial Network;attention-CoviNet: A Deep-Learning Approach to Classify Covid-19 Using Chest X-Rays;a Deep Learning Framework for Violence Detection in Videos Using Transfer Learning;multi-focus image Fusion Methods: A Review;cache Memory and On-Chip Cache Architecture: A Survey;authenticating Smartphone Users Continuously Even if the Smartphone is in the User’s Pocket;Comparative Analysis of Machine Learning Algorithms for COVID-19 Detection and Prediction;machine Learning Classifiers Explanations with Prototype Counterfactual;a Systematic Study of Super-Resolution Generative Adversarial Networks: Review;Stance Detection in Manipuri Editorial Article Using CRF;deep Learning Based Software Vulnerability Detection in Code Snippets and Tag Questions Using Convolutional Neural Networks;a Comprehensive Study of the Performances of Imbalanced Data Learning Methods with Different Optimization Techniques;Smart Parking System Using Arduino and IR Sensor;quMaDe: Quick Foreground Mask and Monocular Depth Data Generation;fine-Grained Air Quality with Deep Air Learning;enhancing Melanoma Skin Cancer Detection with Machine Learning and image processing Techniques;image processing Technique and SVM for Epizootic Ulcerative Syndrome Fish image Classification.

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Deep Discriminant Learning-based Asphalt Road Cracks Detection via Wireless Camera Network

Deep Discriminant Learning-based Asphalt Road Cracks Detecti...

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IEEE International conference on Computing, communications and IoT Applications

作者： Wen Cao Yuxin Zou Mingyuan Luo Peng Zhang Wei Wang Wei Huang School of Information Engineering Nanchang University School of Computer Science Northwestern Polytechnical University School of Economics and Management Chang'an University

ISBN: (数字)9781728119731

ISBN: (纸本)9781728119748

The detection of cracks on asphalt pavement is an important task to ensure the safety of driving and the service life of pavement. Based on a visual camera-based asphalt pavement crack detection system introduced in this paper, the asphalt pavement image data can be wirelessly transmitted and the detection of cracks within the image data can be carried out in real-time. Main steps of the processing are as follows. First, the transmitted images are preprocessed via histogram equalization, Gaussian filtering, edge detection, morphological gradient, data augmentation, etc. Then, this paper proposes three deep discriminant learning-based models as classifiers, whose performance are also compared with those of classifiers based on popular deep generative adversarial learning-based models and classic machine learning models. Experimental results demonstrate that the detection method based on the VGG19 classifier has the most satisfactory performance, in which an average F_1 score of 0.8886 is reported. Also, the introduced method is robust for various situations in this asphalt pavement crack detection study.

关键词： Deep learning Detection Wireless transmissions crack detection asphalt pavements Classifiers WIRELESS TRANSMISSION image data pavement life inspection methods cracks service life asphalt road Discriminant Edge detection PAVEMENTS Defensive driving

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Weighted Robinson Compass Gradient and Charbonnier Penalty Function as a Loss Function

Weighted Robinson Compass Gradient and Charbonnier Penalty F...

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Recent Advances and Innovations in Engineering (ICRAIE)

作者： Rachna U Dhruv Shindhe S S N Omkar Department of Electronics and Communications PES University Bangalore India ARTPARK Indian Institute Of Science Bangalore India Department of Aerospace Indian Institute Of Science Bangalore India

Loss function quantifies how well a machine learning model is performing, it computes the difference between the ground truth and the reconstructed outcomes. In image processing tasks such as image dehazing, image deblurring and image denoising the most popular loss functions used are Mean Squared error(MSE) and perceptual loss. MSE is less computationally expensive but fails to recreate precise boundaries whereas perceptual loss is more computationally expensive as they use feature vectors from a pre-trained model like VGG-net. In smaller on the edge systems like autonomous navigation systems, one of the most critical tasks is relying on visual cues, the take in the video feed from the environment and make decision on it after a few prepossessing steps to eliminate things like physical barriers, blurr, and smoke that clutter a robot’s environment are one of the several factors that affect autonomous navigation. We need systems that aren’t computationally expensive but also have a good reconstruction. For this we propose a loss function that incorporates gradients along with MSE for faster and better reconstruction.

关键词： Training visualization Technological innovation Computational modeling Mean square error methods image restoration Task analysis

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What does the eye tell the brain?: Development of a system for the large scale recording of retinal output activity

What does the eye tell the brain?: Development of a system f...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： A.M. Litke N. Bezayiff E.J. Chichilnisky W. Cunningham W. Dabrowski A.A. Grillo M. Grivich P. Grybos P. Hottowy S. Kachiguine R.S. Kalmar K. Mathieson D. Petrusca M. Rahman A. Sher Santa Cruz Institute for Particle Physics University of California Santa Cruz CA USA Salk Institute La Jolla CA USA University of Glasgow Glasgow UK Faculty of Physics and Nuclear Techniques AGH University of Science and Technology Krakow Poland

A multielectrode array system has been developed to study how the retina processes and encodes visual images. This system can simultaneously record the extracellular electrical activity from hundreds of retinal output neurons as a dynamic visual image is focused on the input neurons. The retinal output signals detected can be correlated with the visual input to study the neural code used by the eye to send information about the visual world to the brain. The system consists of the following components: (1) a 32 /spl times/ 16 rectangular array of 512 planar microelectrodes with a sensitive area of 1.7 square mm. The electrode spacing is 60 microns and the electrode diameter is 5 microns. (Hexagonal arrays with 519 electrodes are under development); (2) eight 64-channel custom-designed integrated circuits to platinize the electrodes and AC couple the signals; (3) eight 64-channel integrated circuits to amplify, band-pass filter and analog multiplex the signals; (4) a data acquisition system; and (5) data processing software. This paper will describe the design of the system, the experimental and data analysis techniques, and some first results with live retina. The system is based on techniques and expertise acquired in the development of silicon microstrip detectors for high energy physics experiments.

关键词： Large-scale systems Retina Electrodes Neurons Analog integrated circuits Signal processing Extracellular Signal detection Microelectrodes Coupling circuits

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An analysis using eye-mark recorder of the effectiveness of presentation methods for e-learning

An analysis using eye-mark recorder of the effectiveness of ...

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International conference on Advanced Learning Technologies (ICALT)

作者： Masahiro Ando Masahito Nagamori Pokpong Songmuang Maomi Ueno Toshio Okamoto Graduate School of Information Systems The University of Electro-Communications

In the context of e-learning contents, if we take an approach based on the "Dual Channel" model, which is well known as a processing model for human perceptual judgments, cognitive resources can be used most effectively by methods that synchronize narrations with images and video contents. In general, however, the learner must search for a visual fixation point in the image or video while simultaneously listening to the narration, and if it is difficult to locate that fixation point, then the cognitive burden is increased, and the efficiency of understanding the learning content decreases. In cases such as these, it is considered effective to introduce a presentation method that uses a pointer to visualize the fixation point. In this research, we used an eye mark recorder (a device for measuring the subject's point of visual focus and pupil diameter) to measure the point of fixation for e-learning students, in order to measure the effects of leading the subject's fixation point with a pointer. The results indicated that in more than 80% of presentation material displays, the subjects followed the lead of the pointer. Tests following the experiment also showed that the subjects demonstrated higher percentages of correct answers for contents that displayed the pointer.

关键词： Electronic learning Context modeling Humans Testing Time measurement Organizing Information analysis Information systems visualization Focusing

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EIP-VIO: Edge-Induced Points Based Monocular visual-Inertial Odometry

EIP-VIO: Edge-Induced Points Based Monocular Visual-Inertial...

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IEEE International Symposium on Parallel and Distributed processing with Applications and IEEE International conference on Ubiquitous Computing and communications (ISPA/IUCC)

作者： Luoying Hao Hongjian Li Jun Cheng Qieshi Zhang Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Beijing China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Shenzhen China The Chinese University of Hong Kong Hong Kong China

ISBN: (纸本)9781728152103

Edge and line features boost the performance of simultaneous localization and mapping (SLAM) systems while bring more additional computational cost. In this paper, we propose an improved and practical monocular visual-inertial odometry method based on selective edge points. Focus on solving the issues of mismatching and tracking loss, the auxiliary edge is utilized to supervise the selection of features instead of using rough features directly. Features along edges are employed as stronger keypoints to steer point-selection away from less distinctive points. By combining matched edge-guided feature based method, selective sampling keypoints along edges based direct method and inertial measurement unit (IMU), the performance of absolute pose estimation is more accurate and efficient. In addition, a weight adjustment factor scheme before IMU error term is introduced in our optimization model to further reduce the influence of motion blur and less texture. Experimental results on public benchmark dataset demonstrate that the proposed method is more efficient and effective compared with the state-of-the-art methods.

关键词： distance measurement edge detection feature extraction image matching pose estimation SLAM (robots) pose estimation distance measurement image matching Edge detection Feature extraction motion blur odometry MISMATCH simultaneous localization and mapping edges Edge of a figure or solid

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Stochastic modeling and entropy constrained estimation of motion from image sequences

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IEEE International conference on image processing

作者： S.D. Servetto C.I. Podilchuk Beckman Institute Department of Computer Science University of Illinois Urbana-Champaign Urbana IL USA Multimedia Communications Research Department Bell Laboratories Lucent Technologies Inc. Murray Hill NJ USA

ISBN: (纸本)0818688211

We consider the problem of coding video signals using motion compensation and a forward coded dense motion field. First, we develop a motion estimation technique that yields dense estimates suitable for the coding application; next, we develop a prototype of a video coder, which we use to verify that high coding performance is attainable within our framework. To find our sought motion estimates, we assume motion in an observed image sequence to be a stochastic process, modeled as a Markov random field (MRF). The standard maximum a posteriori (MAP) estimation problem with MRF priors is formulated as a constrained optimization problem (where the constraint is on the entropy of the sought estimate), but then transformed into a classical MAP estimation problem, and solved using standard techniques. A key advantage of the constrained formalization is that, in the process of transforming it back to the classical framework, parameters which in the classical framework are left unspecified (and often tweaked in an experimental stage) become now uniquely determined by the introduced entropy constraint. To verify that our motion estimates are indeed useful for coding, we compare the performance of a prototype video coder with that of an equivalent coder based on block-matching motion estimates. Experimental results reveal, for various types of video signals and at various rates, that: (a) in terms of PSNR, our system equals or improves upon the performance of full search block matching; and (b) in terms of visual quality our improvements are significant, since our images are completely free of blocking artifacts.

关键词： Stochastic processes Entropy Motion estimation Prototypes Motion compensation Yield estimation image sequences Markov random fields Constraint optimization PSNR

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DCT Inpainting with Patch Shifting Scheme

DCT Inpainting with Patch Shifting Scheme

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2011年亚太信号与信息处理协会年会

作者： Sarawut TAE-O-SOT Akinori NISHIHARA The Department of Communications and Integrated Systems Tokyo Institute of Technology Tokyo Japan The Center for Research and Development of Educational Technology Tokyo Institute of Technology Tokyo Japan

This paper presents a novel exemplar-based image inpainting whose patch matching process is done in frequency domain in order to gain the advantage of noise reduction property. Moreover, a simple patch shifting scheme is also introduced to make sure that the target patch contains enough information to refer the unknown region. Each target patch is iteratively shifted to the position where there are enough known pixels on the patch as defined by user. This scheme can improve the traditional exemplar-based inpainting techniques which do not consider on the number of known and unknown pixels in the target patch. This ignorance can ruin the inpainting result when few known pixels are in the target patch. More meaningful target patches are provided by the proposed scheme. Experimental results show a significant improvement from traditional exemplar-based approach in both visual and mathematical aspects. Sharper and more continuous edge can be achieved by our approach.

关键词： image DCT Inpainting with Patch Shifting Scheme Criminisi

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