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A solution for eigen fuzzy sets of adjoint max-min composition and its application to image analysis 3

A solution for eigen fuzzy sets of adjoint max-min compositi...

引用

3rd ieee International symposium on Intelligent signal processing, WISP 2003

作者： Nobuhara, Hajime Hirota, Kaoru Department of Computational Intelligence and Systems Science Tokyo Institute of Technology 4259 Nagatsuta Midiri-ku Yokohama226-8502 Japan

ISBN: (纸本)0780378644

As a principal component analysis of the images based on an ordered structure, the greatest eigen fuzzy set (GEFS) and the smallest eigen fuzzy set (SEFS) of max-min composition and adjoint one, are proposed. In the case of the proposed method, an original image can be regarded as a fuzzy relation by intensity normalization, and the GEFS and the SEFS are obtained as the transitive closure of the fuzzy relation. Through experiments using 91 test images extracted from 'View Sphere Database', it is confirmed that the GEFS and SEFS can be obtained during 10 iterations, under the condition that the size of the original image is 256 × 256 pixels. ©2003 ieee.

关键词： image analysis

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Classifiers With a Reject Option for Early Time-Series Classification

Classifiers With a Reject Option for Early Time-Series Class...

引用

ieee symposium on computational intelligence and Ensemble Learning (CIEL)

作者： Hatami, Nima Chira, Camelia Univ Calif San Diego Dept Ophtalmol 9415 Campus Point Dr La Jolla CA 92093 USA Babes Bolyai Univ Dept Comp Sci Kogalniceanu 400084 Romania

ISBN: (纸本)9781467358538

Early classification of time-series data in a dynamic environment is a challenging problem of great importance in signal processing. This paper proposes a classifier architecture with a reject option capable of online decision making without the need to wait for the entire time series signal to be present. The main idea is to classify an odor/gas signal with an acceptable accuracy as early as possible. Instead of using posterior probability of a classifier, the proposed method uses the "agreement" of an ensemble to decide whether to accept or reject the candidate label. The introduced algorithm is applied to the bio-chemistry problem of odor classification to build a novel Electronic-Nose called Forefront-Nose. Experimental results on wind tunnel test-bed facility confirms the robustness of the forefront-nose compared to the standard classifiers from both earliness and recognition perspectives.

关键词： biochemistry decision making electronic noses probability signal processing test facilities time series wind tunnels

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Wireless Thermometer Based on Bluetooth 4.0 Low-energy 7

Wireless Thermometer Based on Bluetooth 4.0 Low-energy

引用

7th International symposium on computational intelligence and Design (ISCID)

作者： Li, Hongjie Luo, Jian Univ Elect Sci & Technol China Elect Sci & Technol Res Inst Chengdu Peoples R China

ISBN: (纸本)9781479970056

Based on the analysis of the infrared thermometry principle, using low power Bluetooth4.0 technology and combining software and hardware, a thermometer was designed, which can send temperature data to the mobile phone by Bluetooth4.0. After amplified the infrared temperature sensor signal of the thermometer by a instrumentation amplifier, CC2540 carries on the AD sampling, based on the infrared thermometry principle, to calculate the temperature value. Finally the temperature value will be sent to the mobile phone through the Bluetooth 4.0, and the temperature value can be plotted as a line so that we can clearly observe patient's temperature changes for a long time. Through the actual test, the feasibility of the system was verified.

关键词： thermometer bluetooth4.0 BLE CC2540 infrared temperature sensor sensor signal processing

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image processing Strategies Based on Deep Neural Network for Simulated Prosthetic Vision 11

Image Processing Strategies Based on Deep Neural Network for...

引用

11th International symposium on computational intelligence and Design (ISCID)

作者： Zhao, Ying Li, Qi Wang, Donghui Yu, Aiping Inner Mongolia Univ Sci & Technol Sch Informat Engn Baotou Inner Mongolia Peoples R China

ISBN: (纸本)9781538685273

Due to the limited number of implantable electrodes, correcting the input image such that the electrode stimulus ultimately reaching the visual pathway contains sufficient topological information is a challenging task. Some image processing strategies have been applied to the image-to electrode mapping process previously in order to obtain better recognition performance under simulated prosthetic vision. In this work, a method for foreground extraction and pixelation of images containing simple objects using the state-of-the-art deep learning techniques was proposed. For that, accurate foreground extraction results were obtained by training the U-net network model, pixelated them and paired with the original images. These paired samples were then used to train a Pix2pix generative adversarial network in order to achieve the image-to-pixelated image translation. The experimental results indicated that the U-net network had better foreground extraction effect than the traditional image processing strategies, and the pixelated images generated by the Pix2pix generative model contained more abundant and precise details than other strategies.

关键词： simulated prosthetic vision image processing strategies deep neural networks

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Sparse Subspace Clustering for Hyperspectral images with Missing Pixels 22

Sparse Subspace Clustering for Hyperspectral Images with Mis...

引用

22nd symposium on image, signal processing and Artificial Vision (STSIVA)

作者： Bacca, Jorge Sanchez, Karen Arguello, Henry Univ Ind Santander Dept Comp Sci Bucaramanga Colombia Univ Ind Santander Dept Elect Engn Bucaramanga Colombia

ISBN: (纸本)9781728114910

Spectral image clustering discovers groups and identifies distributions from spectral signatures without requiring a previous training stage. The sparse subspace clustering-based methods group spectral signatures in different subspaces, finding the sparsest representation for each pixel, guaranteeing that they belong to the same class. Although these methods have shown good accuracy, as the number of pixels increases, computational complexity becomes intractable. This paper proposes to reduce the number of pixels to be classified in the spectral image by half through a sub-sampling procedure that eliminate every two contiguous pixels, preserving the spatial structure of the image. Then, the clustering result is obtained using its spatial information. The performance of the proposed spectral image clustering framework is evaluated in three datasets showing that similar accuracy is obtained up to 7.9 times faster compared to the classification of the data sets without subsampling.

关键词： Spectral images Spectral clustering Sparse Subspace Clustering Sub-sampling image Classification

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A MODIFIED STRUCTURAL SIMILARITY INDEX WITH LOW computational COMPLEXITY

A MODIFIED STRUCTURAL SIMILARITY INDEX WITH LOW COMPUTATIONA...

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International symposium on Intelligent signal processing and Communication Systems (lSPACS)

作者： Loh, Woei-Tan Bong, David Boon Liang Univ Malaysia Sarawak Fac Engn Kota Samrahan Malaysia

ISBN: (纸本)9781728130385

Structural Similarity Index (SSIM) has been a benchmark method for image quality assessment (IQA). This is due to its simplicity and good performance. In this paper, we propose a modified SSIM method that reduces the computational complexity with comparable performance. Instead of computing similarities on local windows, the proposed method computes global information similarities. The proposed method omits the luminance part similarities in SSIM due to its less crucial role in assessing image quality. From the presented results, the proposed method has a much lower computational time and comparable performance compared to SSIM.

关键词： image quality computational complexity SSIM

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ROS-Based Robot Navigation and Human Interaction in Indoor Environment 10

ROS-Based Robot Navigation and Human Interaction in Indoor E...

引用

10th Jubilee ieee International symposium on Applied computational intelligence and Informatics

作者： Voisan, Emil-Ioan Paulis, Bogdan Precup, Radu-Emil Dragan, Florin Politehn Univ Timisoara Dept Automat & Appl Informat Timisoara Romania

ISBN: (纸本)9781479999118

This paper sets the basis of a robot collaborative application framework that is able to perform basic interactions with a human partner, namely patrol and monitor a designated area, followed by interaction with a human participant when this is detected. The application is developed using an adaptation of ROS to Corobot robot and image processing techniques that involve OpenCV face detection.

关键词： Mobile robot navigation indoor environment Application Framework image processing techniques Human Robot ROS1 gene Facial Recognition BASIC INTERACTIONS DESIGNATED AREA

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Classification of Cochannel signals using Cyclostationary signal processing and Deep Learning

Classification of Cochannel Signals using Cyclostationary Si...

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ieee International symposium on Dynamic Spectrum Access Networks (ieee DySPAN)

作者： Mehta, Tanay Crompton, Bryan Mody, Apurva Northeastern Univ Dept Comp Sci Boston MA 02115 USA AiRANACULUS Lowell MA USA

ISBN: (纸本)9798350317657;9798350317640

The task of classifying radio frequency (RF) signals has seen recent success in employing deep neural network models. In this work, we present a combined signal processing and machine learning approach to signal classification for cochannel anomalous signals. The power spectral density and cyclostationary signal processing features of a captured signal are computed and fed into a neural net to produce a classification decision. Experiments show that our neural model utilizing both PSD and CSP features are superior to models only using CSP features, and achieve near perfect classification. Our combined signal preprocessing and machine learning approach allows for simpler neural networks with fast training times and small computational resource requirements for inference with longer preprocessing time.

关键词： signal classification machine learning deep learning cochannel interference

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Design and Research of Face Recognition Simulation System Based on image Preprocessing 11

Design and Research of Face Recognition Simulation System Ba...

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11th International symposium on computational intelligence and Design (ISCID)

作者： Liu, Meng Wang, Dan Huang, Qianqian Shenyang Fire Res Inst Shenyang Liaoning Peoples R China Shenyang Univ Coll Informat Engn Shenyang Liaoning Peoples R China

ISBN: (纸本)9781538685273

In this paper, a series of research on face recognition is carried out by using the function of image processing in MATLAB, and a general face recognition simulation system with a combination of preprocessing and face recognition is implemented. First, the image is preprocessed, and then the graphical user interface is established. In order to achieve the goal of face recognition, the PCA method is used to compare the database. The simulation results show that the face recognition simulation system can realize the recognition of the face image accurately.

关键词： Preprocessing PCA MATLAB Face Recognition

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Interpolation and Extrapolation: Comparison of Definitions and Survey of Algorithms for Convex and Concave Hulls 5

Interpolation and Extrapolation: Comparison of Definitions a...

引用

ieee symposium on computational intelligence and Data Mining (CIDM)

作者： Ebert, Tobias Belz, Julian Nelles, Oliver Univ Siegen Dept Mech Engn D-57068 Siegen Germany

ISBN: (纸本)9781479945184

Any data based method is vulnerable to the problem of extrapolation, nonetheless there exists no unified theory on handling it. The main topic of this publication is to point out the differences in definitions of extrapolation and related methods. There are many different interpretations of extrapolation and a multitude of methods and algorithms, which address the problem of extrapolation detection in different fields of study. We examine popular definitions of extrapolation, compare them to each other and list related literature and methods. It becomes apparent, that the opinions what extrapolation is and how to handle it, differ greatly from each other. We categorize existing literature and give guidelines to choose an appropriate definition of extrapolation for a present problem. We also present hull algorithms, from classic approaches to recent advances. The presented guidelines and categorized literature enables the reader to categorize a present problem, inspect relevant literature and apply suitable methods and algorithms to solve a problem, which is affected by extrapolation.

关键词： computational geometry extrapolation interpolation concave hulls convex hulls Algorithm design and analysis computational geometry Extrapolation Interpolation Shape signal processing algorithms Support vector machines extrapolation method Interpolation computational geometry Algorithm design and analysis signal processing algorithms Support Vector Network

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