Realization of automated reading and video processing to study efficient algorithms for tracking the dynamics of growth and spread of spores of mesophilic and thermophilic microorganisms were studied. The basic steps ...
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ISBN:
(纸本)9781538606971
Realization of automated reading and video processing to study efficient algorithms for tracking the dynamics of growth and spread of spores of mesophilic and thermophilic microorganisms were studied. The basic steps based on the algorithm of automatic counting and tracking spore colonies in real time were investigated.
In this article, we show an application of collaborative clustering applied to real data from very high resolution images. Our proposed method makes it possible to have several algorithms working at different scales o...
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ISBN:
(纸本)9783319466750;9783319466743
In this article, we show an application of collaborative clustering applied to real data from very high resolution images. Our proposed method makes it possible to have several algorithms working at different scales of details while exchanging their information on the clusters. Our method that aims at strengthening the hierarchical links between the clusters extracted at different level of detail has shown good results in terms of clustering quality based on common unsupervised learning indexes, but also when using external indexes: We compared our results with other algorithms and analyzed them based on an expert ground truth.
Integral imaging (II) is a promising three-dimensional (3-D) imaging technique that uses an array of diffractive or refractive optical elements to record the 3-D information on a conventional digital sensor. With II, ...
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Integral imaging (II) is a promising three-dimensional (3-D) imaging technique that uses an array of diffractive or refractive optical elements to record the 3-D information on a conventional digital sensor. With II, the object information is recorded in the form of an array of subimages, each representing a slightly different perspective of the object In order to obtain high-quality 3-D images, digital sensors with a large number of pixels are required. Consequently, high-quality H involves recording and processing large amounts of data. In this paper, we present a compression method developed for the particular characteristics of the digitally recorded integral image. The compression algorithm is based on a hybrid technique implementing a four-dimensional transform combining the discrete wavelet transform and the discrete cosine transform. The proposed algorithm outperforms the baseline JPEG compression scheme applied to II and a previous compression method developed for It based on MPEG II.
Real-world databases nowadays are particularly vulnerable to noisy, missing and inconsistent data due to their large size (often several terabytes or so more), as well as the potential that they come from multiple and...
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This paper presents a robust scheme for texture synthesis in the process of artistic style learning based on the comprehensive area feathers of the segmented image blobs, which speeds up the process by exploiting the ...
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Concrete is a multi-phase composite material which is difficult to inspect using conventional ultrasonic techniques, including those that work well on relatively homogeneous materials such as metals. This paper summar...
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ISBN:
(纸本)0780370414
Concrete is a multi-phase composite material which is difficult to inspect using conventional ultrasonic techniques, including those that work well on relatively homogeneous materials such as metals. This paper summarizes recent research that makes use of signal processing techniques to overcome ultrasonic inspection difficulties in concrete. Basic findings from several new laboratory-based NDE techniques for concrete are reported. First, the application of split spectrum processing (SSP) is described. The SSP techniques obtains a frequency-diverse ensemble of narrowband signals through a filterbank and recombines them nonlinearly to improve the target visibility. Examples that demonstrate the capability of SSP to reduce coherent noise (clutter) in ultrasonic signals collected from concrete samples are presented. Next, a self-compensating procedure for practical one-sided surface wave transmission measurements on concrete structures is described. The utility of the technique is demonstrated by sensitivity to surface-opening crack depth in concrete slabs. Finally, an approach by which the setting process (stiffness change) in concrete is nondestructively monitored is described. The reflection factor of shear wave pulses at a steel-concrete interface is measured, from which the stiffness change (setting) of the concrete is inferred.
Advanced manufacturing systems increasingly rely on intelligent algorithms to discriminate, model and predict system behaviours that lead to increased productivity. Edge intelligence allows the industrial systems to c...
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ISBN:
(数字)9781665467469
ISBN:
(纸本)9781665467469
Advanced manufacturing systems increasingly rely on intelligent algorithms to discriminate, model and predict system behaviours that lead to increased productivity. Edge intelligence allows the industrial systems to collect, compute and act based on process data while reducing the latency and cost associated to an hierarchical control system in which complex decisions are generated in the upper layers of the automation hierarchy. Greater local computing capabilities allow the online operation of such algorithms while accounting for increased performance requirements and lower sampling periods of the control loops. In this work we present the concept of a cognitive robotic cell that collects, stores and processes data in situ for enabling the control of a robotic arm in a production setting. The main features that characterise the robotic cell are embedded computing, open interfaces, and standards-based industrial communication with hardware peripherals and digital twin models for validation. An application of part classification is presented that uses the YOLOv4 imageprocessing algorithm for real-time and online assessment that guides the control of an ABB IRB120C robotic arm. Results illustrate the feasibility and robustness of the approach in a real application. Quantitative evaluation underlines the performance of the implemented system.
Psychometric methods can be applied straight forwardly to the evaluation of imageprocessingalgorithms to determine statistically significant quality groups. Several methods are available depending upon the circumsta...
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The proceedings contain 87 papers. The special focus in this conference is on Soft Computing systems. The topics include: Ultrasonic Signal Modelling and Parameter Estimation: A Comparative Study Using Optimization Al...
ISBN:
(纸本)9789811319358
The proceedings contain 87 papers. The special focus in this conference is on Soft Computing systems. The topics include: Ultrasonic Signal Modelling and Parameter Estimation: A Comparative Study Using Optimization algorithms;a Histogram Based Watermarking for Videos and images with High Security;enhanced Empirical Wavelet Transform for Denoising of Fundus images;kernelised Clustering algorithms Fused with Firefly and Fuzzy Firefly algorithms for image Segmentation;performance Analysis of Wavelet Transform Based Copy Move Forgery Detection;high Resolution 3D image in Marine Exploration Using Neural Networks - A Survey;ship Intrusion Detection System - A Review of the State of the Art;Novel Work of Diagnosis of Liver Cancer Using Tree Classifier on Liver Cancer Dataset (BUPA Liver Disorder);Performance Analysis and Error Evaluation Towards the Liver Cancer Diagnosis Using Lazy Classifiers for ILPD;a Weight Based Approach for Emotion Recognition from Speech: An Analysis Using South Indian Languages;exploring Structure Oriented Feature Tag Weighting Algorithm for Web Documents Identification;MQMS - An Improved Priority Scheduling Model for Body Area Network Enabled M-Health Data Transfer;data Compression Using Content Addressable Memories;heart Block Recognition Using imageprocessing and Back Propagation Neural Networks;design and Development of Laplacian Pyramid Combined with Bilateral Filtering Based image Denoising;diabetes Detection Using Deep Neural Network;Multi-label Classification of Big NCDC Weather Data Using Deep Learning Model;object Recognition Through Smartphone Using Deep Learning Techniques;hot Spot Identification Using Kernel Density Estimation for Serial Crime Detection;analysis of Scheduling algorithms in Hadoop;smart Transportation for Smart Cities.
Industry 4.0, the digitalization of manufacturing promises to lead to lowered cost, efficient processes and even discovery of new business models. However, many of the enterprises have huge investments in legacy machi...
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ISBN:
(纸本)9783031702587;9783031702594
Industry 4.0, the digitalization of manufacturing promises to lead to lowered cost, efficient processes and even discovery of new business models. However, many of the enterprises have huge investments in legacy machines which are not 'smart'. In this study, we thus designed a cost-efficient solution to retrofit a legacy conveyor belt-based cutlery washing machine with a commodity web camera. We then applied computer vision (using both traditional imageprocessing and deep learning techniques) to infer the speed and utilization of the machine. We detailed the algorithms that we designed for computing both speed and utilization. With the existing operational constraints of our client, frequent re-training of the deep learning model for object detection is not feasible. Thus, we compared the generalizability of the two techniques across 'unseen' cutleries and found traditional imageprocessing to be generalizable across 'unseen' images. Our proposed final solution uses traditional imageprocessing for computation of utilization but a hybrid of traditional imageprocessing and deep learning model for speed computation as it is more reliable. Our client has implemented our proposed solution for one conveyor belt-based cutlery washing machine and will be planning to scale this to multiple conveyor belt-based cutlery washing machines.
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