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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: This paper utilizes three popular semantic segmentation networks, specifically DeepLab v3+, fully convolutionalThis paper also analyzes the segmentation strategies of the three networks in terms of feature map visualization

Keywords: slope damage     image recognition     semantic segmentation     feature map     visualizations    

Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5,   Pages 732-744 doi: 10.1007/s11709-023-0965-y

Abstract: An algorithm based on deep semantic segmentation called LC-DeepLab is proposed for detecting the trendsThe proposed method addresses the low accuracy of tunnel crack segmentation and the slow detection speedfusion module that extracts crack features across pixels is designed to improve the edges of crack segmentationFour classic semantic segmentation algorithms (fully convolutional network, pyramid scene parsing networkThe LC-DeepLab can achieve a real-time segmentation of 416 × 416 × 3 defect images with 46.98 f/s and

Keywords: tunnel engineering     crack segmentation     fast detection     DeepLabv3+     feature fusion     attention mechanism    

Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 311-315 doi: 10.1007/s11465-016-0376-z

Abstract: A multi-color space threshold segmentation and self-learning k-nearest neighbor algorithm

Keywords: multi-color space     k-nearest neighbor algorithm (k-NN)     self-learning     surge test    

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural network

Wenxuan CAO; Junjie LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11,   Pages 1378-1396 doi: 10.1007/s11709-022-0855-8

Abstract: this paper, a large-scale underwater crack examination method is proposed based on image stitching and segmentationthan Fully convolutional networks (FCN), proving that GCN has great potential of application in image segmentation

Keywords: underwater cracks     remote operated vehicle     image stitching     image segmentation     graph convolutional    

Vascular segmentation of neuroimages based on a prior shape and local statistics Research Articles

Yun TIAN, Zi-feng LIU, Shi-feng ZHAO

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8,   Pages 1099-1108 doi: 10.1631/FITEE.1800129

Abstract: However, most of the vessel segmentation techniques ignore the existence of the isolated and redundantpoints in the segmentation results.In this study, we propose a vascular segmentation method based on a prior shape and local statistics.

Keywords: Vesselness filter     Neighborhood     Blood-vessel segmentation     Outlier    

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 segmentationHowever, when the foreground and background share some similar areas in color, the fine segmentationThis paper presents a novel interactive image segmentation method via a regression-based ensemble modeland semi-supervised learning is proposed to assist the training of MARS and TPSR by using the region segmentationFinally, 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    

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.To better use the interaction information at various timescales, we propose an interactive segmentationframework, called interactive MEdical image segmentation with self-adaptive Confidence CAlibration (Numerical experiments on different segmentation tasks show that MECCA can significantly improve short

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

Cost-effective resource segmentation in hierarchical mobile edge clouds Special Feature on Future Network-Research Article

Ming-shuang JIN, Shuai GAO, Hong-bin LUO, Hong-ke ZHANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1209-1220 doi: 10.1631/FITEE.1800203

Abstract: The fifth-generation (5G) network cloudification enables third parties to deploy their applications (e.g., edge caching and edge computing) at the network edge. Many previous works have focused on specific service strategies (e.g., cache placement strategy and vCPU provision strategy) for edge applications from the perspective of a certain third party by maximizing its benefit. However, there is no literature that focuses on how to efficiently allocate resources from the perspective of a mobile network operator, taking the different deployment requirements of all third parties into consideration. In this paper, we address the problem by formulating an optimization problem, which minimizes the total deployment cost of all third parties. To capture the deployment requirements of the third parties, the applications that they want to deploy are classified into two types, namely, computation-intensive ones and storage-intensive ones, whose requirements are considered as input parameters or constraints in the optimization. Due to the NP-hardness and non-convexity of the formulated problem, we have designed an elitist genetic algorithm that converges to the global optimum to solve it. Extensive simulations have been conducted to illustrate the feasibility and effectiveness of the proposed algorithm.

Keywords: Edge clouds     Edge computing     Edge caching     Resource segmentation     Virtual machine (VM) allocation    

Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography Article

Jia-yin SONG,Wen-long SONG,Jian-ping HUANG,Liang-kuan ZHU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 741-749 doi: 10.1631/FITEE.1601169

Abstract: In this study, our main focus was on using circular image region segmentation, which is the basis ofOn this basis, we proposed a segmentation method for the circular region in a forest canopy hemisphere

Keywords: Fisheye lens     Least squares method     Image segmentation     Ecology in image processing     Hemispherical photography    

Spacecraft damage infrared detection algorithm for hypervelocity impact based on double-layer multi-target segmentation Research Article

Xiao YANG, Chun YIN, Sara DADRAS, Guangyu LEI, Xutong TAN, Gen QIU,yinchun.86416@163.com,chunyin@uestc.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 571-586 doi: 10.1631/FITEE.2000695

Abstract: The designed segmentation objective function is used to ensure the effectiveness of results for noisemulti-objective evolutionary algorithm based on decomposition (MOEA/D) is used for optimization to ensure damage segmentation

Keywords: Hypervelocity impact damage     Defect detection     Gaussian mixture model     Image segmentation    

Survey on Extraction Methods of Transition Region

Liu Suolan,Yang Jingyu

Strategic Study of CAE 2007, Volume 9, Issue 9,   Pages 89-96

Abstract:

Image segmentation is treated as a key issue in image processing and

Keywords: transition region     extraction     image segmentation     gradient method     non-gradient method    

Label fusion for segmentation via patch based on local weighted voting Article

Kai ZHU, Gang LIU, Long ZHAO, Wan ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 680-688 doi: 10.1631/FITEE.1500457

Abstract: Label fusion is a powerful image segmentation strategy that is becoming increasingly popular in medicalIn this paper we propose a novel patch-based segmentation method combining a local weighted voting strategyTo obtain a segmentation of the target, labels of the atlas images are propagated to the target image, local weighted voting, majority voting based on patch, and the widely used FreeSurfer whole-brain segmentationof different parameters (including patch size, patch area, and the number of training subjects) on segmentation

Keywords: Label fusion     Local weighted voting     Patch-based     Background analysis    

Deep learning in digital pathology image analysis: a survey

Shujian Deng, Xin Zhang, Wen Yan, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 470-487 doi: 10.1007/s11684-020-0782-9

Abstract: ., classification, semantic segmentation, detection, and instance segmentation) and various applications

Keywords: pathology     deep learning     segmentation     detection     classification    

A Cell Condition-Sensitive Frequency Segmentation Method Based on the Sub-Band Instantaneous Energy Spectrum Article

Zhaohui Zeng, Weihua Gui, Xiaofang Chen, Yongfang Xie, Hongliang Zhang, Yubo Sun

Engineering 2021, Volume 7, Issue 9,   Pages 1282-1292 doi: 10.1016/j.eng.2020.11.012

Abstract: In this paper, the frequency segmentation of cell voltage is used as the basis for designing filtersUltimately, a cell condition-sensitive frequency segmentation method is given.The proposed frequency segmentation method divides the effective frequency band into the [0, 0.001] HzThe proposed frequency segmentation method is more sensitive to cell condition changes and can obtain

Keywords: Sub-band instantaneous energy spectrum     Cell condition-sensitive frequency band     Frequency segmentation    

Detecting interaction/complexitywithin crowd movements using braid entropy Research Papers

Murat AKPULAT, Murat EKİNCİ

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6,   Pages 849-861 doi: 10.1631/FITEE.1800313

Abstract:

The segmentation of moving and non-moving regions in an image within the field of crowd analysis is

Keywords: Crowd behavior     Motion segmentation     Motion entropy     Crowd scene analysis     Complexity detection     Braid entropy    

Title Author Date Type Operation

Optimal CNN-based semantic segmentation model of cutting slope images

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

Journal Article

Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Journal Article

Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status

Jian HUANG,Gui-xiong LIU

Journal Article

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural network

Wenxuan CAO; Junjie LI

Journal Article

Vascular segmentation of neuroimages based on a prior shape and local statistics

Yun TIAN, Zi-feng LIU, Shi-feng ZHAO

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

Cost-effective resource segmentation in hierarchical mobile edge clouds

Ming-shuang JIN, Shuai GAO, Hong-bin LUO, Hong-ke ZHANG

Journal Article

Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography

Jia-yin SONG,Wen-long SONG,Jian-ping HUANG,Liang-kuan ZHU

Journal Article

Spacecraft damage infrared detection algorithm for hypervelocity impact based on double-layer multi-target segmentation

Xiao YANG, Chun YIN, Sara DADRAS, Guangyu LEI, Xutong TAN, Gen QIU,yinchun.86416@163.com,chunyin@uestc.edu.cn

Journal Article

Survey on Extraction Methods of Transition Region

Liu Suolan,Yang Jingyu

Journal Article

Label fusion for segmentation via patch based on local weighted voting

Kai ZHU, Gang LIU, Long ZHAO, Wan ZHANG

Journal Article

Deep learning in digital pathology image analysis: a survey

Shujian Deng, Xin Zhang, Wen Yan, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu

Journal Article

A Cell Condition-Sensitive Frequency Segmentation Method Based on the Sub-Band Instantaneous Energy Spectrum

Zhaohui Zeng, Weihua Gui, Xiaofang Chen, Yongfang Xie, Hongliang Zhang, Yubo Sun

Journal Article

Detecting interaction/complexitywithin crowd movements using braid entropy

Murat AKPULAT, Murat EKİNCİ

Journal Article