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International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)

作者： Sheena A D C. Udhaya Kumar Department of Civil Engineering Anna University Chennai India

ISBN: (纸本)9781538694831

Remote sensing and satellite information's are very useful for the geospatial analysis of surface and subsurface features. In the modern day-to-day scenario, the landforms and its features to be monitored and managed is a very challenging one and Remote Sensing plays a crucial role in the society. Analysis of Satellite imageries using geospatial techniques is playing a vibrant role in the earth science system. Earth contains rivers, streams, tanks, water bodies as natural formations and delineating the features itself with the image segmentation algorithm is an elegant task over remote sensing imagery. Feature extraction and image segmentation are extensively used in the field of medicine for X-ray and scan images, satellite imaging, pattern identification, features and face interpretation and various applications of engineering.

关键词： feature extraction geographic information systems geophysical image processing hydrological techniques image segmentation remote sensing Feature extraction hydrological techniques remote sensing image segmentation image segmentation algorithm Satellite imagery geographic information systems Case studies geospatial analysis

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image segmentation algorithm Based on the Background Skeleton Feature

Image Segmentation Algorithm Based on the Background Skeleto...

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International Conference on Intelligent Computing, Automation and Systems (ICICAS)

作者： Bing Li Shuofeng Li Jin Li College of automation Harbin Engineering University Harbin China

ISBN: (数字)9781728161068

ISBN: (纸本)9781728161075

In order to improve the segmentation accuracy of adhered rice images, an automatic segmentation algorithm for adhered rice images based on background skeleton features is proposed. The experimental results show that the proposed algorithm can adapt well to the adhesion segmentation of different grains under complex condition. Compared with the classic distance transformation watershed algorithm and the improved watershed algorithm, algorithm accuracy has improved a lot, and the formed grain segmentation boundary is smoother, with less influence on the shape.

关键词： crops feature extraction image segmentation image segmentation Feature extraction crops distance transform algorithms image segmentation algorithm Skeletons bone structure

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Design of Human Posture Recognition System Based on Internet of Things Technology and image segmentation algorithm

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JOURNAL OF TESTING AND EVALUATION 2024年第3期52卷 1501-1514页

作者： Zhao, Xinbo Ding, Wei Liaoning Univ Int Business & Econ Sch Management 33 Shunle St Dalian 116052 Peoples R China Dalian Polytech Univ Sch Fash 33 Shunle St Dalian 116034 Peoples R China

To address the problem of the traditional human posture recognition system being easily affected by environmental factors such as noise, a human posture recognition system based on Internet of Things technology and an image segmentation algorithm was designed. To do this, we selected the attitude sensor, designed the attitude sensor structure based on micro electro mechanical system technology, and had a variety of selectable data output modes. A 36 V power supply was selected as the circuit design index to provide sufficient power for the system. The main control chip was designed, and its state information description and external output were installed in a single chip or the same component. The denoising process based on image segmentation algorithm was designed, the error correction model was constructed, the measured values were normalized, and the image segmentation model was constructed. We extracted the node features of human body posture, used the image segmentation algorithm to construct the structure diagram of human body posture nodes, located the local recognition area of the node structure map, and designed the human body posture recognition system. The experimental results show that the designed human gesture recognition system has better effect and better recognition performance.

关键词： image segmentation algorithm body posture dentification system attitude sensor mage segmentation model

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Real-time plant image segmentation algorithm under natural outdoor light conditions

Real-time plant image segmentation algorithm under natural o...

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The First International Conference on Computers and Computing Technologies in Agriculture

作者： RONGHUA JI College of Information and Electronic Engineering China Agricultural University 17 Qinghua donglu,Haidian District Beijing,China ZETIAN FU LIJUN QI~* College of Engineering China Agricultural University 17 Qinghua donglu,Haidian District Beijing,China

Variable rate pesticide application holds great potential in precision agriculture where application efficiency depends mainly on plant recognition .The segmentation of the plant from the background is key to plant *** work presented in this paper is a real-time segmentation algorithm that was developed to improve the quality of plant segmentation under natural outdoor light *** plant images were greyed with the colour features H,a,I3 and Cr respectively, and the plant was segmented from the grey images with a threshold that was computed by an iterative *** showed that segmentation was generally of good quality if the background was bare *** quality of segmentation declines if the images are greyed by H and Cr,and the quality remains stable if they are greyed by a and I3 when the background is complicated,and,especially with heavy *** respect to segmentation speed, that greyed by Cr was the fastest and that greyed by a was slowest amongst the four.

关键词： image segmentation algorithm colour features threshold

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Applications Research on the Cluster Analysis in image segmentation algorithm

Applications Research on the Cluster Analysis in Image Segme...

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2017 International Conference on Materials,Energy,Civil Engineering and Computer (MATECC 2017)

作者： Jiangyan Sun Huiming Su Yuan Zhou School of Engineering Xi'an International University

Clustering analysis is an unsupervised classification method,which classifies the samples by classifying the *** the absence of prior knowledge,the image segmentation can be done by cluster *** paper gives the concept of clustering analysis and two common cluster algorithms,which are FCM and K-Means *** applications of the two clustering algorithms in image segmentation are explored in the paper to provide some references for the relevant researchers.

关键词： image segmentation algorithm Cluster analysis Fuzzy cluster

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An automatic image segmentation algorithm based on GrabCut

An automatic image segmentation algorithm based on GrabCut

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6th International Conference on Wireless, Mobile and Multi-Media (ICWMMN 2015)

作者： Yiran He Yongqi Sun Beijing Key Lab of Traffic Data Analysis and Mining School of Computer and Information Technology Beijing Jiaotong University 100044 China

ISBN: (纸本)9781510822030

An automatic segmentation algorithm which combine visual attention mechanism and GrabCut is presented, in order to meet the automation needs of image segmentation. Firstly, using visual attention mechanism to get the initial target areas, and then compensate the edge of the areas, finally using GrabCut to get accurate segmentation results. The experimental results show that this method can finish the image segmentation automatically and has good accuracy.

关键词： image segmentation GrabCut Visual attention mechanism Regional compensation Automatic image segmentation AUTOMATIC Visual Attention image segmentation algorithm

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Novel segmentation algorithm for jacquard patterns based on multi-view image fusion

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IET image PROCESSING 2020年第17期14卷 4563-4570页

作者： Wang, Wenzhen Deng, Na Xin, Binjie Wang, Yiliang Lu, Shuaigang Shanghai Univ Engn Sci Sch Elect & Elect Engn Longteng Rd Shanghai Peoples R China Shanghai Univ Engn Sci Sch Text & Fash Longteng Rd Shanghai Peoples R China

Pattern regeneration is one of the applications of reverse engineering technology in the textile field, which realises the process of textile-pattern regeneration-textile, and fundamentally provides an intelligent design means of textile. At present, the method of pattern regeneration in the jacquard fabric is to use the image segmentation algorithm to segment the image digitalised by unidirectional imaging, and then the segmented pattern could be identified to regeneration for the design of new fabrics. However, due to the concave and convex pattern textures on the surface of jacquard fabric, the traditional unidirectional imaging method cannot be used for the full characterisation of its structural information, resulting in unsatisfactory pattern segmentation effect. To solve this problem, a novel segmentation algorithm for jacquard patterns based on multi-view image fusion was proposed in this study. Based on multi-view image acquisition and fusion, the pattern image of jacquard fabric could be cluster-segmented by extracting the complete texture information of the fused image and the actual colour information of the calibrated image. Compared with the traditional unidirectional imaging method, the experimental results show that the enhanced texture information of the fused image is more workable for the pattern segmentation, it validates the effectiveness of the proposed method.

关键词： fabrics image texture image fusion image segmentation image colour analysis reverse engineering pattern image jacquard fabric cluster‐segmented complete texture information fused image calibrated image traditional unidirectional imaging method novel segmentation algorithm jacquard patterns multiview image fusion reverse engineering technology textile field textile‐pattern regeneration‐textile image segmentation algorithm segmented pattern convex pattern textures unsatisfactory pattern segmentation effect

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Rendered image denoising method with filtering guided by lighting information

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Optoelectronics Letters 2025年第4期21卷 242-248页

作者： MA Minghui HU Xiaojuan ZHANG Ripei CHEN Chunyi YU Haiyang School of Computer Science and Technology Changchun University of Science and TechnologyChangchun 130022China

The visual noise of each light intensity area is different when the image is drawn by Monte Carlo ***,the existing denoising algorithms have limited denoising performance under complex lighting conditions and are easy to lose detailed *** we propose a rendered image denoising method with filtering guided by lighting ***,we design an image segmentation algorithm based on lighting information to segment the image into different illumination ***,we establish the parameter prediction model guided by lighting information for filtering(PGLF)to predict the filtering parameters of different illumination *** different illumination areas,we use these filtering parameters to construct area filters,and the filters are guided by the lighting information to perform sub-area ***,the filtering results are fused with auxiliary features to output denoised images for improving the overall denoising effect of the *** the physically based rendering tool(PBRT)scene and Tungsten dataset,the experimental results show that compared with other guided filtering denoising methods,our method improves the peak signal-to-noise ratio(PSNR)metrics by 4.2164 dB on average and the structural similarity index(SSIM)metrics by 7.8%on *** shows that our method can better reduce the noise in complex lighting scenesand improvethe imagequality.

关键词： establish paramet rendered image denoising Monte Carlo method filtering guided lighting information denoising algorithms image segmentation algorithm rendered image denoising method monte carlo methodhoweverthe

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Parameter selection for region-growing image segmentation algorithms using spatial autocorrelation

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INTERNATIONAL JOURNAL OF REMOTE SENSING 2006年第14期27卷 3035-3040页

作者： Espindola, G. M. Camara, G. Reis, I. A. Bins, L. S. Monteiro, A. M. INPE Image Proc Div BR-12201001 Sao Jose Dos Campos Brazil

Region-growing segmentation algorithms are useful for remote sensing image segmentation. These algorithms need the user to supply control parameters, which control the quality of the resulting segmentation. An objective function is proposed for selecting suitable parameters for region-growing algorithms to ensure best quality results. It considers that a segmentation has two desirable properties: each of the resulting segments should be internally homogeneous and should be distinguishable from its neighbourhood. The measure combines a spatial autocorrelation indicator that detects separability between regions and a variance indicator that expresses the overall homogeneity of the regions.

关键词： Spatial Autocorrelation algorithms image segmentation algorithm region growing control parameter

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Anomaly monitoring and early warning of electric moped charging device with infrared image

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Optoelectronics Letters 2025年第3期21卷 136-141页

作者： LI Jiamin HAN Bo JIANG Mingshun School of Control Science and Engineering Shandong UniversityJinan250002China

Potential high-temperature risks exist in heat-prone components of electric moped charging devices,such as sockets,interfaces,and *** detection methods have limitations in terms of real-time performance and monitoring *** address this,a temperature detection method based on infrared image processing has been proposed:utilizing the median filtering algorithm to denoise the original infrared image,then applying an image segmentation algorithm to divide the image.

关键词： detection methods divide image anomaly monitoring temperature detection median filtering algorithm infrared image processing image segmentation algorithm electric moped charging devicessuch

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