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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 proposedAs 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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Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Frontiers of Medicine 2021, Volume 15, Issue 4, Pages 575-584 doi: 10.1007/s11684-020-0816-3

Abstract: has become the focus of spinal surgery research so as to strengthen the objectivity of tissue state recognitionThis article reviews the progress of different tissue state recognition methods in spinal surgery and

Keywords： spinal surgery tissue state recognition image force sensing bioelectrical impedance

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Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 2, doi: 10.1007/s11783-019-1102-y

Abstract:

An image-recognition-based diagnosis system of pipe defect types

Keywords： Sewer pipe defects Defect diagnosing Image recognition Multi-features extraction Support vector machine

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High-Temperature Target Recognition Based on Spectral Radiation Information

Fan Xueliang,Cheng Xiaofang,Xu Jun

Strategic Study of CAE 2004, Volume 6, Issue 6, Pages 57-62

Abstract: By optimizing the initial image capture stage, using liquid crystal light valve to make a simple modificationof the imaging system, the goal of high object recognition is achieved.

Keywords： video image object recognition radiation information liquid crystal light valve

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Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4, Pages 414-433 doi: 10.1007/s11709-021-0797-6

Abstract: analyze and identify the key components of cutting slope images in complex scenes and achieve rapid image-based

Keywords： slope damage image recognition semantic segmentation feature map visualizations

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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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Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3, Pages 227-237 doi: 10.1631/FITEE.1400217

Abstract: We present a novel image fusion scheme based on gradient and scrambled block Hadamard ensemble (SBHE)In the fusion phase, the image gradient is calculated to reflect the abundance of its contour informationBy compositing the gradient of each image, gradient-based weights are obtained, with which compressiveFinally, inverse transformation is applied to the coefficients derived from fusion, and the fused imageIn addition, different image fusion application scenarios are applied to explore the scenario adaptability

Keywords： Compressive sensing (CS) Image fusion Gradient-based image fusion CS-based image fusion

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Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1, Pages 77-82 doi: 10.1007/s11465-009-0013-1

Abstract: An edge detection method for the measurement of steel plate’s thermal expansion is proposed in this paper, where the shrinkage of a steel plate is measured when temperature drops. First, images are picked up by an imaging system; a method of regional edge detection based on grayscales’ sudden change is then applied to detect the edges of the steel plate; finally, pixel coordinates of the edge position are transformed to physical coordinates through calibration parameters. The experiment shows that the real-time, high precision, and non-contact measurement of the steel plate’s edge position under high temperature can be realized using the imaging measurement method established in this paper.

Keywords： thermal expansion image measurement edge detection image calibration

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View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11, Pages 917-920 doi: 10.1631/FITEE.1500080

Abstract: Human action recognition is currently one of the most active research areas in computer vision.However, some extrinsic factors are barriers for the development of action recognition; e.g., human actionsThus, view-invariant analysis becomes important for action recognition algorithms, and a number of researchersExperiments on three public view-invariant action recognition datasets, i.e., ViHASi, IXMAS, and WVU,proposed algorithm stably outperforms state-of-the-art counterparts and obtains about 6% improvement in recognition

Keywords： View-invariant Action recognition Multi-view learning L1-norm Local learning

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Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1430-6

Abstract:

• UV-vis absorption analyzer was applied in drainage type online recognition

Keywords： Drainage online recognition UV-vis spectra Derivative spectrum Convolutional neural network

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Face recognition based on subset selection via metric learning on manifold

Hong SHAO,Shuang CHEN,Jie-yi ZHAO,Wen-cheng CUI,Tian-shu YU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12, Pages 1046-1058 doi: 10.1631/FITEE.1500085

Abstract: With the development of face recognition using sparse representation based classification (SRC), many

Keywords： Face recognition Sparse representation Manifold structure Metric learning Subset selection

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Deformable image registration with geometric changes

Yu LIU,Bo ZHU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10, Pages 829-837 doi: 10.1631/FITEE.1500045

Abstract: Geometric changes present a number of difficulties in deformable image registration.developed an innovative model which significantly reduces the side effects of geometric changes in imageWe show that the transformation estimated from our model is able to reconstruct the target image with

Keywords： Geometric changes Image registration Sparsity Traumatic brain injury (TBI)

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Affective rating ranking based on face images in arousal-valence dimensional space None

Guo-peng XU, Hai-tang LU, Fei-fei ZHANG, Qi-rong MAO

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6, Pages 783-795 doi: 10.1631/FITEE.1700270

Abstract: In dimensional affect recognition, the machine learning methods, which are used to model and predictTherefore, we propose an affective rating ranking framework for affect recognition based on face images

Keywords： Ordinal ranking Dimensional affect recognition Valence Arousal Facial image processing

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Named entity recognition for Chinese construction documents based on conditional random field

Frontiers of Engineering Management 2023, Volume 10, Issue 2, Pages 237-249 doi: 10.1007/s42524-021-0179-8

Abstract: Named entity recognition (NER) is essential in many natural language processing (NLP) tasks such as information

Keywords： NER NLP Chinese language construction document

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UsingKinect for real-time emotion recognition via facial expressions

Qi-rong MAO,Xin-yu PAN,Yong-zhao ZHAN,Xiang-jun SHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4, Pages 272-282 doi: 10.1631/FITEE.1400209

Abstract: Emotion recognition via facial expressions (ERFE) has attracted a great deal of interest with recentadvances in artificial intelligence and pattern recognition.In this paper, we propose a real-time emotion recognition approach based on both 2D and 3D facial expression

Keywords： Kinect Emotion recognition Facial expression Real-time classification Fusion algorithm Support vector