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Adaptive empirical pattern transformation (ADEPT) with application to walking stride segmentation

BIOSTATISTICS 2021年第2期22卷 331-347页

作者： Karas, Marta Straczkiewicz, Marcin Fadel, William Harezlak, Jaroslaw Crainiceanu, Ciprian M. Urbanek, Jacek K. Johns Hopkins Univ Dept Biostat 615 N Wolfe St Baltimore MD 21205 USA Harvard Univ Dept Biostat 655 Huntington Ave Boston MA 02115 USA Indiana Univ Dept Biostat 410 W 10th St Indianapolis IN 46202 USA Indiana Univ Bloomington Dept Epidemiol & Biostat 1025 E 7th St Bloomington IN 47405 USA Johns Hopkins Univ Dept Med Div Geriatr Med & Gerontol 2024 E Monument St Baltimore MD 21205 USA

Quantifying gait parameters and ambulatory monitoring of changes in these parameters have become increasingly important in epidemiological and clinical studies. Using high-density accelerometry measurements, we propose adaptive empirical pattern transformation (ADEPT), a fast, scalable, and accurate method for segmentation of individual walking strides. ADEPT computes the covariance between a scaled and translated pattern function and the data, an idea similar to the continuous wavelet transform. The difference is that ADEPT uses a data-based pattern function, allows multiple pattern functions, can use other distances instead of the covariance, and the pattern function is not required to satisfy the wavelet admissibility condition. Compared to many existing approaches, ADEPT is designed to work with data collected at various body locations and is invariant to the direction of accelerometer axes relative to body orientation. The method is applied to and validated on accelerometry data collected during a 450-m outdoor walk of 32 study participants wearing accelerometers on the wrist, hip, and both ankles. Additionally, all scripts and data needed to reproduce presented results are included in supplementary material available at Biostatistics online.

关键词： ADEPT Gait pattern segmentation Physical activity Walking Wearable accelerometers

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Machine vision methodology for inkjet printing drop sequence generation and validation

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FLEXIBLE AND PRINTED ELECTRONICS 2021年第3期6卷

作者： Pervin Brishty, Fahmida Grau, Gerd York Univ Dept Elect Engn & Comp Sci Toronto ON Canada

Inkjet printing technology for printed microelectronics suffers from a number of non-idealities due to unwanted ink flow on the substrate. This can be mitigated and pattern fidelity can be improved by using an optimized drop placement sequence in contrast to the standard raster-scanning approach. However, it is challenging to auto-generate such printing sequences for complex printed patterns. Here, the generation and evaluation of the printing sequence are turned into a computer-vision problem. The desired printed pattern is taken as an input image and converted into a printing sequence using contour, symmetric, and matrix sequencing and corner compensation. After printing, pattern defects are detected by automated image processing to evaluate the printed pattern against the designed ground truth image and to determine the best possible algorithm for printing sequence generation for different pattern types. The machine vision-based experimental approach identifies the best solutions for solving the printing and defect optimization problem in terms of precision, recall, and accuracy. This methodology will enable the automated design of electronic circuits for applications such as wearable sensors, low-cost radio-frequency identification tags, or flexible displays.

关键词： computer vision printed electronics inkjet printing raster printing vector printing printing defect pattern segmentation

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A comparison of time-use behavior in metropolitan areas using pattern recognition techniques

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TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE 2019年 129卷 271-287页

作者： Allahviranloo, Mahdieh Aissaoui, Leila CUNY City Coll New York Dept Civil Engn New York NY 10031 USA ENTPE Vaulx En Velin France

A better understanding of the connection of urban forms and travel behavior is critical to the operation of the existing and the design of the future transportation infrastructure. A comprehensive analysis of travel behavior across different regions would capture the underlying dependency among time-use behavior, the built environment, and the demographics of travelers. This paper introduces a method to measure the similarity of activity chains in different regions based on pattern segmentation and recognition. Travel behavior of residents of five different urban regions in the United States are compared: New York City, Los Angeles County, Chicago, San Francisco, and Atlanta. A total of 80,894 activity patterns is analyzed to address three goals: (1) to find a set of representative activity patterns for the residents of each region;(2) to analyze the dissimilarities/similarities in the activity patterns within and between the regions;and (3) to develop econometric models to assess and compare the role of demographic attributes on time use behavior. The outcome of the analysis supports and highlights the differences between study areas.

关键词： Activity pattern Urban forms Time-use pattern segmentation pattern recognition

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Femtosecond laser-induced periodic oxidization of titanium film: Structural colors both in reflection and transmission mode

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OPTICAL MATERIALS 2020年 109卷 110240-110240页

作者： Sun, Xiaoyun Wang, Wenjun Mei, Xuesong Pan, Aifei Zhang, Yilin Xi An Jiao Tong Univ State Key Lab Mfg Syst Engn Xian 710054 Peoples R China Shaanxi Key Lab Intelligent Robots Xian 710054 Peoples R China

This study reported on the fabrication of nanoripples via femtosecond laser-induced periodic surface oxidation on titanium film, which can work both for the structural colors in reflection mode and transmission mode. The periods and heights of nanoripples were obtained under different pulse energies and scanning speeds. To obtain the structural colors in the transmission mode, the height of the nanoripples was above 175 nm. The experimental results showed that the spectral changes in the reflection mode and transmission mode were consistent, which conformed to the principle of grating diffraction. Moreover, it could be seen that the colors were very sensitive to the angles. The ripples orientation affected the intensity of the color, while the viewing angle and the incident angle affected the type of the color. According to the spectral characteristics of structural colors, the display and encryption of information were realized. On this basis, we used the method of pattern segmentation to achieve the encryption and decryption of information on the condition that the overall pattern was not missing. This study provided a new idea to realize the color display, information security, and anti-counterfeiting on both sides of the sample.

关键词： Femtosecond Structural colors Reflection mode Transmission mode pattern segmentation

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Investigating local orientation methods to segment microstructure with 3D solid texture

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IET IMAGE PROCESSING 2018年第7期12卷 1265-1272页

作者： Al Darwich, Ranya Babout, Laurent Lodz Univ Technol Inst Appl Comp Sci Lodz Poland

This study investigates local orientation-based approaches to the complex problem of pattern segmentation in three-dimensional (3D) texture image. The current problem focuses on the extraction of so-called lamellar colonies in titanium alloy, which, from the materials science and engineering point of view, are microstructural features that play a fundamental role on crack propagation and bifurcation during mechanical loading. Methods based on local orientation estimation extend the notion of using local gradient to reveal variation of semi-planar pattern orientation in the 3D image. The study introduces a computational approach that accelerates the calculation of the eigenvectors from the local matrices of inertia of all voxels composing the 3D image. Then different paths are proposed to segment colonies or inter-colony boundaries, i.e. polar orientation map and minimum scalar product map, in order to delimitate regions of similar orientations. The investigated segmentation methods have been compared with other methods that are mainly based on the popular solution of filter banks. Tests, which have been performed on both synthetic and real 3D images, show that the proposed local orientation-based methods better delineate object boundaries than the counterparts.

关键词： crystal microstructure image segmentation image texture computer graphics titanium alloys materials science computing gradient methods eigenvalues and eigenfunctions matrix algebra matrices materials science inter-colony boundaries eigenvectors semiplanar pattern orientation local gradient local orientation estimation mechanical loading bifurcation crack propagation titanium alloy lamellar colonies extraction three-dimensional texture image pattern segmentation 3D solid texture microstructure segmentation local orientation methods

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Fabric pattern Elements Retrieval Based on Cosine Transform

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Computer Aided Drafting,Design and Manufacturing 2015年第3期25卷 18-22页

作者： ZHAO Hai-ying JIA Geng-yun TAN Xin School of Information and Communication Engineering Beijing University of Posts and Telecommunications Mobile media and cultural calculation Key Laboratory of Beijing Century College Beijing University of Posts and Telecommunications

Fabric pattern contains many types of the available pattern elements, which not only can be used for the researchers, but also as the material for the designer. But existing method focus on the complete image retrieval, therefore lack methods of retrieving pattern elements. This article proposes a pattern elements retrieval algorithm based on cosine transform. Firstly, automatically segment the patterns according to size and location and filter the similar primary patterns, then, through cosine transform, analyze elements features in DCT domain, extract amplitude frequency and phase frequency. We employ 2-norm to measure the similarity, search 10 similar pattern elements in the sample library and save them in the design resources library. Experiment results indicate that this algorithm performs well while used in palace costume and carpet patterns, and got more than 75% of the average recall in 100 times experiments

关键词： dress pattern cosine transform primitive recognition pattern segmentation feature extraction

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Morphological segmentation of binary patterns

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pattern RECOGNITION LETTERS 2009年第4期30卷 456-459页

作者： Soille, Pierre Vogt, Peter Joint Res Ctr Spatial Data Infrastruct Unit Inst Environm & Sustainabil I-21027 Ispra Italy Joint Res Ctr Land Management & Nat Hazards Unit Inst Environm & Sustainabil I-21027 Ispra Italy

This paper presents a method for segmenting binary patterns into seven mutually exclusive categories: core, islet, loop, bridge, perforation, edge, and branch. This is achieved by applying a series of morphological transformations such as erosions, geodesic dilations, reconstruction by dilation, anchored skeletonisation, etc. The proposed method depends on a single parameter only and can be used for characterising binary patterns with emphasis on connections between their parts as measured at varying analysis scales. This is illustrated on two examples related to land cover maps and circuit board defect detection. (c) 2008 Elsevier B.V. All rights reserved.

关键词： Morphological image analysis pattern segmentation Connectivity

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A New Model for the Simulation of Epileptic Seizures Based on Morris-Lecar Equation

A New Model for the Simulation of Epileptic Seizures Based o...

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the 2nd Shanghai International Symposium on NOnlinear Science and Applications(Shanghai NSA'05)(第2届上海非线性科学及其应用学术会议)

作者： Xiaoling Fang Yanzhu Liu Jianhua Peng Department of Engineering Mechanics Shanghai Jiao Tong University 200240 Shanghai China

Associative memory can be thought as the patterns of neuron *** patterns are very complex,which can't be reproduced again,but man can distinguish them easily,So pattern segmentation is an important function of human's *** we all know,Hindmarsh-Rose neuron model can realize dynamic characterstics such as quiescent state,periodic spiking,periodic bursting and chaos,it can simulate the neurons' action in hippocampus *** this paper,we ***-Rose neuron as the node and constructed the network according to the Hopfield *** the actual circumstance in the brain,pattern segmentation was studied in the weak,medium and strong connection strength,good results were obtained via numerical *** the same time,we studied pattern segmentation under random connection and proposed the direction of improvement.

关键词： Hindmarsh-Rose neuron model pattern segmentation connection strength connection probability

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Separating figures, mathematical formulas and Japanese text from free handwriting in mixed online documents

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INTERNATIONAL JOURNAL OF pattern RECOGNITION AND ARTIFICIAL INTELLIGENCE 2004年第7期18卷 1173-1187页

作者： Mochida, K Nakagawa, M Tokyo Univ Agr & Technol Dept Comp Informat & Commun Sci Tokyo Japan

This paper describes a method for separating online handwritten patterns into Japanese text, figures and mathematical formulas. Today, Tablet PCs and electronic whiteboards provide much larger writing area for pen interfaces unlike PDAs (Personal Digital Assistants), through which users can easily input text, write mathematical formulas and draw figures on the screen. The fact that these objects can be written by a single pen (marker) without switching the device, mode, software or whatever else, and without any writing restrictions such as grids or boxes is one of the most important benefits of the pen interfaces. However, the task of segmenting these objects is challenging. To address this issue, we have applied a probabilistic model employing stroke features, stroke crossings and stroke densities. Further, we partially apply the approach of segmentation by recognition. Although the current recognizer for formulas is not a true recognizer, we have achieved about 81% correct segmentation for all the strokes when applied to our newly prepared database of mixed patterns. This method has been compared with a neural-network. The results show that our method is generally better but less effective in distinguishing figures from other components.

关键词： pen interfaces online handwritten patterns pattern segmentation stroke classification probabilistic model segmentation by recognition neural-network

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Separating figures, mathematical formulas and Japanese text from free handwriting in mixed online documents

Separating figures, mathematical formulas and Japanese text ...

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11th Conference of the International-Graphonomics-Society

作者： Mochida, K Nakagawa, M Tokyo Univ Agr & Technol Dept Comp Informat & Commun Sci Tokyo Japan

关键词： pen interfaces online handwritten patterns pattern segmentation stroke classification probabilistic model segmentation by recognition neural-network

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