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Visual interactive image clustering: a target-independent approach for configuration optimization in Research Article

Lvhan PAN, Guodao SUN, Baofeng CHANG, Wang XIA, Qi JIANG, Jingwei TANG, Ronghua LIANG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 355-372 doi: 10.1631/FITEE.2200547

Abstract: The result of MVM is determined by its configuration, especially the in image acquisition and the algorithmicin image processing.Our approach has four steps: data preparation, data sampling, data processing, and visual analysis withOur approach samples engineer-defined parameters for each image and obtains results by executing theBased on the image relationships, we develop VMExplorer, a visual analytics system that assists engineers

Keywords： Machine vision measurement     Lighting scheme design     Parameter optimization     Visual interactive imageclustering    

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Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for EdgeDetection in Image Processing

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1,   Pages 85-89 doi: 10.1007/s11465-005-0023-6

Abstract:

A novel fuzzy clustering method based on chaos immune evolutionary algorithm (CIEFCM) is presentedto solve fuzzy edge detection problems in image processing.detect the fuzzy edge and exiguous edge but can evidently improve the searching efficiency of fuzzy clustering

Keywords： disturbance amplitude     disturbance     diversity     generation     processing    

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Interactive visual labelling versus active learning: an experimental comparison Research

Mohammad CHEGIN, Jürgen BERNARD, Jian CUI, Fatemeh CHEGINI, Alexei SOURIN, Keith Keith, Tobias SCHRECK

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4,   Pages 524-535 doi: 10.1631/FITEE.1900549

Abstract: Interactive visual labelling techniques are a promising alternative, providing effective visual overviewsWhile initial results of interactive visual labelling techniques are promising in the sense that userThis paper presents a study conducted using the mVis tool to compare three interactive visualisationsThe results show that all three interactive visual labelling techniques surpass active learning algorithms

Keywords： Interactive visual labelling     Active learning     Visual analytics    

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The effects of festivals and special events on city image design

LIU Yuan, CHEN Chong

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 2,   Pages 255-259 doi: 10.1007/s11709-007-0032-0

Abstract: On the analysis of the important roles of events and city image in the context of city marketing, thisThe positive impacts of festivals and special events, such as the identification of city image, the promotionof the transmission of city image, and the reversal of the negative image of the city, are discussedThe unique image of the city could be identified by the City Mind Identity, the City Visual Identity

Keywords： Visual Identity     reversal     transmission     marketing     Behavior Identity    

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Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 313-316 doi: 10.1007/s11465-006-0026-y

Abstract: It is a very important task to automatically fix the number of die in the image recognition system ofA multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposedIn the evolutionary process of GA, a clustering method is provided that utilizes information from theThe whole population is grouped into different niches by the clustering method.As a result, time consumed by one image recognition is shortened, the performance of the image recognition

Keywords： clustering     different     recognition algorithm     Algorithm     multiobjective    

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Interactive image segmentation with a regression based ensemble learning paradigm Article

Jin ZHANG, Zhao-hui TANG, Wei-hua GUI, Qing CHEN, Jin-ping LIU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 1002-1020 doi: 10.1631/FITEE.1601401

Abstract: To achieve fine segmentation of complex natural images, people often resort to an interactive segmentationforeground and background share some similar areas in color, the fine segmentation result of conventional interactiveThis paper presents a novel interactive image segmentation method via a regression-based ensemble modelThen, a regressor boosting method based on a clustering hypothesis and semi-supervised learning is proposedFinally, the GraphCut is introduced and combined with the SVR ensemble results to achieve image segmentation

Keywords： Interactive image segmentation     Multivariate adaptive regression splines (MARS)     Ensemble learning     Thin-plate    

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Interactive medical image segmentation with self-adaptive confidence calibration

沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1332-1348 doi: 10.1631/FITEE.2200299

Abstract: Interactive medical image segmentation based on human-in-the-loop machine learning is a novel paradigmthat draws on human expert knowledge to assist medical image segmentation.However, existing methods often fall into what we call interactive misunderstanding, the essence of whichTo better use the interaction information at various timescales, we propose an interactive segmentationframework, called interactive MEdical image segmentation with self-adaptive Confidence CAlibration (

Keywords： Medical image segmentation     Interactive segmentation     Multi-agent reinforcement learning     Confidence learning    

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Amultimodal dense convolution network for blind image quality assessment Research Article

Nandhini CHOCKALINGAM, Brindha MURUGAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1601-1615 doi: 10.1631/FITEE.2200534

Abstract: Therefore, image quality assessment (IQA) is critical in improving content delivered to end users.One issue is that these methods fail to provide the best representation of the image.gray-level co-occurrence matrix (GLCM) method and spatial features extracted using DSC-Net and predicts the image

Keywords： No-reference image quality assessment (NR-IQA)     Blind image quality assessment     Multimodal dense convolutionnetwork (MDSC-Net)     Deep learning     Visual quality     Perceptual quality    

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Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using Machine Reiew

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

Engineering 2021, Volume 7, Issue 6,   Pages 758-776 doi: 10.1016/j.eng.2020.08.026

Abstract:

Liquid leakage from pipelines is a critical issue in large-scale process plants. Damage in pipelines affects the normal operation of the plant and increases maintenance costs. Furthermore, it causes unsafe and hazardous situations for operators. Therefore, the detection and localization of leakages is a crucial task for maintenance and condition monitoring. Recently, the use of infrared (IR) cameras was found to be a promising approach for leakage detection in large-scale plants. IR cameras can capture leaking liquid if it has a higher (or lower) temperature than its surroundings. In this paper, a method based on IR video data and machine vision techniques is proposed to detect and localize liquid leakages in a chemical process plant. Since the proposed method is a vision-based method and does not consider the physical properties of the leaking liquid, it is applicable for any type of liquid leakage (i.e., water, oil, etc.). In this method, subsequent frames are subtracted and divided into blocks. Then, principle component analysis is performed in each block to extract features from the blocks. All subtracted frames within the blocks are individually transferred to feature vectors, which are used as a basis for classifying the blocks. The k-nearest neighbor algorithm is used to classify the blocks as normal (without leakage) or anomalous (with leakage). Finally, the positions of the leakages are determined in each anomalous block. In order to evaluate the approach, two datasets with two different formats, consisting of video footage of a laboratory demonstrator plant captured by an IR camera, are considered. The results show that the proposed method is a promising approach to detect and localize leakages from pipelines using IR videos. The proposed method has high accuracy and a reasonable detection time for leakage detection. The possibility of extending the proposed method to a real industrial plant and the limitations of this method are discussed at the end.

Keywords： Leakage detection and localization     Image analysis     Image pre-processing     Principle component analysis    

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long-term model with consideration of uncertainties for deployment of distributed energy resources using interactive

Iraj AHMADIAN,Oveis ABEDINIA,Noradin GHADIMI

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 412-425 doi: 10.1007/s11708-014-0315-9

Abstract: This paper presents a novel modified interactive honey bee mating optimization (IHBMO) base fuzzy stochastic

Keywords： component     distributed energy resources     fuzzy optimization     loss reduction     interactive honey bee mating    

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Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 184-191 doi: 10.1007/s11465-009-0034-9

Abstract: This paper presents an integrated visual location system for solder paste printing based on machine visionworking principle of solder paste printing is introduced and then the design and implementation of the visualOne is accurate image location solved by the pattern-based location algorithms of PatMax.The other one is camera calibration that is achieved by image warping technology through the checkerboardMoreover, the system can provide good performances such as high image locating accuracy with 1/40 sub-pixels

Keywords： machine vision     visual location     solder paste printing     VisionPro    

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Turbidity-adaptive underwater image enhancement method using image fusion

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-021-0669-8

Abstract: In this paper, we propose a turbidity-adaptive underwater image enhancement method.Based on the detection result, different image enhancement strategies are designed to deal with the problemThe proposed method is verified by an underwater image dataset captured in real underwater environmentThe result is evaluated by image metrics including structure similarity index measure, underwater colorimage quality evaluation metric, and speeded-up robust features.

Keywords： turbidity     underwater image enhancement     image fusion     underwater robots     visibility    

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An anchor-based spectral clustering method None

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1385-1396 doi: 10.1631/FITEE.1700262

Abstract:

Spectral clustering is one of the most popular and important clustering methods in pattern recognitionFor a clustering problem with n samples, it needs to compute the eigenvectors of the graph Laplacianmethods, i.e., power iteration clustering and landmark-based spectral clustering, on 10 real-world applicationsExperimental results show that ASC is consistently faster than the classical spectral clustering withcomparable clustering performance, and at least comparable with or better than the state-of-the-art

Keywords： Clustering     Spectral clustering     Graph Laplacian     Anchors    

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A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load

Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP

Frontiers in Energy 2015, Volume 9, Issue 2,   Pages 231-237 doi: 10.1007/s11708-015-0358-6

Abstract: In this paper, a systematic approach to ON-OFF event detection and clustering analysis for NIALM wereThe results from the ON-OFF pairing algorithm were further clustered in groups utilizing the -means clusteringThe -means clustering were implemented as an unsupervised learning methodology for the clustering analysiselectrical appliance is turned ON through combination of event detection, ON-OFF pairing and -means clustering

Keywords： non-intrusive appliance load monitoring     event detection     goodness-of-fit (GOF)     K-means clustering    

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Two-level hierarchical feature learning for image classification Article

Guang-hui SONG,Xiao-gang JIN,Gen-lang CHEN,Yan NIE

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9,   Pages 897-906 doi: 10.1631/FITEE.1500346

Abstract: In some image classification tasks, similarities among different categories are different and the samples

Keywords： learning     Feature learning     Deep convolutional neural network     Hierarchical classification     Spectral clustering    

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Title Author Date Type Operation

Visual interactive image clustering: a target-independent approach for configuration optimization in

Lvhan PAN, Guodao SUN, Baofeng CHANG, Wang XIA, Qi JIANG, Jingwei TANG, Ronghua LIANG

Journal Article

Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for EdgeDetection in Image Processing

Journal Article

Interactive visual labelling versus active learning: an experimental comparison

Mohammad CHEGIN, Jürgen BERNARD, Jian CUI, Fatemeh CHEGINI, Alexei SOURIN, Keith Keith, Tobias SCHRECK

Journal Article

The effects of festivals and special events on city image design

LIU Yuan, CHEN Chong

Journal Article

Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Journal Article

Interactive image segmentation with a regression based ensemble learning paradigm

Jin ZHANG, Zhao-hui TANG, Wei-hua GUI, Qing CHEN, Jin-ping LIU

Journal Article

Interactive medical image segmentation with self-adaptive confidence calibration

沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰

Journal Article

Amultimodal dense convolution network for blind image quality assessment

Nandhini CHOCKALINGAM, Brindha MURUGAN

Journal Article

Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using Machine

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

Journal Article

long-term model with consideration of uncertainties for deployment of distributed energy resources using interactive

Iraj AHMADIAN,Oveis ABEDINIA,Noradin GHADIMI

Journal Article

Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Journal Article

Turbidity-adaptive underwater image enhancement method using image fusion

Journal Article

An anchor-based spectral clustering method

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Journal Article

A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load

Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP

Journal Article

Two-level hierarchical feature learning for image classification

Guang-hui SONG,Xiao-gang JIN,Gen-lang CHEN,Yan NIE

Journal Article