International Symposium on Multispectral Image Processing and Pattern Recognition最新文献

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Research on intelligent logistics AGV control system based on PLC 基于PLC的智能物流AGV控制系统研究
Hongcheng Zhou, Shihong Qin, Zhao Xiong, Ruixing Wang
{"title":"Research on intelligent logistics AGV control system based on PLC","authors":"Hongcheng Zhou, Shihong Qin, Zhao Xiong, Ruixing Wang","doi":"10.1117/12.2557559","DOIUrl":"https://doi.org/10.1117/12.2557559","url":null,"abstract":"With manpower sorting system in view of the traditional logistics delivery, shipping and modern logistics system of vehicle transport task allocation in unreasonable situation, this article has carried on the AGV control system based on PLC intelligent logistics research, USES the PLC controller as a smart car (Automated Guided Vehicles, AGV) control module of Siemens industrial control software STEP7 as a platform, for the research of the system hardware design and software design, for domestic logistics enterprises with comprehensive logistics warehouse, vehicle transportation path is more complicated, In this paper, a system optimization scheme based on Floyd shortest path algorithm is proposed. Experiments verify that managers can control vehicles in real-time and master the necessary information and position of vehicles. The application of the improved Floyd shortest path algorithm in this system improves the operational efficiency of AGV path planning and reduces the task time.","PeriodicalId":384253,"journal":{"name":"International Symposium on Multispectral Image Processing and Pattern Recognition","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114675986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A method for centroid extraction based on Faster-RCNN 基于Faster-RCNN的质心提取方法
Xiaodan Zhang, Zhifeng Qiu, Luofang Jiao, Yu Yang, Bin Sun, Limei Xu
{"title":"A method for centroid extraction based on Faster-RCNN","authors":"Xiaodan Zhang, Zhifeng Qiu, Luofang Jiao, Yu Yang, Bin Sun, Limei Xu","doi":"10.1117/12.2539308","DOIUrl":"https://doi.org/10.1117/12.2539308","url":null,"abstract":"In the MBZIRC 2020 competition, an Unmanned Aerial Vehicle (UAV) is required to intercept a moving balloon and put it into a specific location. The core of the task is to accurately identify the balloon’s centroid, which is also the purpose of this article. The process is composed of two sections: first identify the balloon candidate region based on Faster-RCNN, an end to end object detection algorithm, following a new method based on the color of balloon to extract the centroid finally. In terms of Faster-RCNN, images of balloon sample library are used to generate a number of target candidate regions by region proposal network(RPN), next the neural network is trained to generate a model, which can finally output the boundary box of the balloon, which we called candidate region. Next, in the candidate region, the process includes three parts: feature extraction, target segmentation and centroid marking. Improve the saturation to enhance the image, thus reducing the impact of reflection of sunlight. Then replace the color of the balloon to pure black, with the use of adaptive filtering to segment the balloon region preliminarily. Finally, to minimize the affections of noise, the largest connected region in the image is chosen to calculate its centroid position. Experimented with different backgrounds of images such as sky, grass, flowers and buildings, our method has gotten wonderful results, thus verifying the high accuracy of our method.","PeriodicalId":384253,"journal":{"name":"International Symposium on Multispectral Image Processing and Pattern Recognition","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121230832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
TLCS-Anchor: a new anchor strategy for detecting small-scale unmanned aerial vehicle tlcs -锚:一种小型无人机探测锚策略
T. Xiong, Jing Hu, Xinxin Lu, Kan Jiang, Xiangjun Li
{"title":"TLCS-Anchor: a new anchor strategy for detecting small-scale unmanned aerial vehicle","authors":"T. Xiong, Jing Hu, Xinxin Lu, Kan Jiang, Xiangjun Li","doi":"10.1117/12.2541789","DOIUrl":"https://doi.org/10.1117/12.2541789","url":null,"abstract":"Faster R-CNN is a general-purpose detection algorithm that performs well in most cases. However, Faster R-CNN performs poorly on detecting small-scale UAVs. In order to improve the detection performance for small-scale UAVs, a new anchor strategy (TLCS-Anchor) which could be adopted by Faster R-CNN is proposed in this paper. Firstly, the anchor templates are designed to be suitable for the UAV dataset by using the clustering method so that the aspect ratios and scales for anchors are more targeted to UAVs. Then, a new compensation strategy of anchors is proposed to help detect small-scale UAVs in this paper, which could not only improve the number of anchors matched with the UAVs, but also alleviate the problem that small-scale UAVs can’t match with enough anchors to some extent. Experimental results show that TLCS-Anchor can help improve the detection performance for UAVs, especially for small-scale UAVs. In theory, TLCS-Anchor can also be used to detect other small-scale targets.","PeriodicalId":384253,"journal":{"name":"International Symposium on Multispectral Image Processing and Pattern Recognition","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123285892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Far-infrared pedestrian sequence segmentation based on time domain semantics 基于时域语义的远红外行人序列分割
Shaowu Peng, Zhenju Wang, Qiong Liu, Junying Chen
{"title":"Far-infrared pedestrian sequence segmentation based on time domain semantics","authors":"Shaowu Peng, Zhenju Wang, Qiong Liu, Junying Chen","doi":"10.1117/12.2539449","DOIUrl":"https://doi.org/10.1117/12.2539449","url":null,"abstract":"This paper proposes the generation of a pedestrian ROI region, which is mainly aimed at pedestrian segmentation in far-infrared (FIR) images of in-vehicle systems. Since the FIR image is a grayscale image, the pixel value of the pedestrian is usually higher than the background, so the previous segmentation method is mainly threshold segmentation. However, this method will cause problems due to the uneven brightness of pedestrians caused by pedestrian wear, etc. We propose a new method for generating pedestrian ROI regions, which is based on the combination of image region merging and pixel-intensity vertical projection, and adopts the time domain semantic model to constrain the parameter space. Experiments show that our method has achieved good results in urban scenes.","PeriodicalId":384253,"journal":{"name":"International Symposium on Multispectral Image Processing and Pattern Recognition","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123751329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Generation of vortex lightbeams 漩涡光束的产生
Chang Liu, D. Wei, Mingce Chen, Xinyu Zhang
{"title":"Generation of vortex lightbeams","authors":"Chang Liu, D. Wei, Mingce Chen, Xinyu Zhang","doi":"10.1117/12.2539284","DOIUrl":"https://doi.org/10.1117/12.2539284","url":null,"abstract":"Generally, the vortex lightwaves are beams that propagates helically along an axis. In an optical vortex, light is twisted. Due to their twisting property, the light at the position of the axis cancels each other. If the vortex is projected onto a plane, its image looks like a halo, with a dark area without light in the middle. Vortex beams are a new type of laser beams, which have been widely used in optical micromanipulation, laser optics, bio-optics, optical information transmission, particle waveguide, atomic optics, and molecular optics. Compared to ordinary Gaussian beams, vortex beams have many advantages, such as: zero intensity at the center of the beam, cylindrical distribution of longitudinal light intensity, dark spot size on the order of micrometers, no heating effect, orbital angle momentum and so on. This makes the vortex beams have very high application value in many fields, such as optical capture, optical rotation, nonlinear optics, and optical information processing. The scientific value of the vortex beams is increasingly prominent. In this paper, a novel structure similar to a spiral phase plate(SPP) to generate a vortex beam is designed, and its intensity distribution is analyzed using simulation software, which can be seen as a combination of a lens and a spiral phase plate. We verify the feasibility of generating vortex beams by simulation analysis, and analyze vortex beams generated by the designed structure and the general spiral phase plate structure by simulation.","PeriodicalId":384253,"journal":{"name":"International Symposium on Multispectral Image Processing and Pattern Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125489657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design of smart home control system based on infrared and cloud platform 基于红外和云平台的智能家居控制系统设计
Shihong Qin, Zhao Xiong, Ruixing Wang, Hongcheng Zhou, Jun Jian, Ziyi Mei
{"title":"Design of smart home control system based on infrared and cloud platform","authors":"Shihong Qin, Zhao Xiong, Ruixing Wang, Hongcheng Zhou, Jun Jian, Ziyi Mei","doi":"10.1117/12.2539332","DOIUrl":"https://doi.org/10.1117/12.2539332","url":null,"abstract":"\"Intelligence\" is a hot word in society at that time, which reflects people's high requirements for quality of life. Smart home that makes people comfortable, convenient, and satisfied has emerged. This research takes the cloud platform as the software platform and combines the infrared telemetry technology to design a smart home control system with STM32 as the primary system controller, ZigBee as the home intranet communication module and the sensors as the environmental data acquisition module. The communication quality of the home intranet and the data monitoring performance of the cloud platform were tested. The experimental results show that the communication quality of the system is good, and there is almost no error packet, which can meet the daily needs of users. Users can remotely monitor the home environment and control the home equipment actions on the cloud platform.","PeriodicalId":384253,"journal":{"name":"International Symposium on Multispectral Image Processing and Pattern Recognition","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122031280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ISAR image visualization for aerospace targets 面向航天目标的ISAR图像可视化
Yang Liu, Gang Li, Si Shi, Chi Zhang, Bingning Li
{"title":"ISAR image visualization for aerospace targets","authors":"Yang Liu, Gang Li, Si Shi, Chi Zhang, Bingning Li","doi":"10.1117/12.2538204","DOIUrl":"https://doi.org/10.1117/12.2538204","url":null,"abstract":"Due to the large dynamic range and low contrast, inverse synthetic aperture radar (ISAR) image is not appropriate for human observation. In order to output and display the target imaging results, a procedure which compresses the dynamic range of the raw images into a lower range is necessary. In this paper, by analyzing the histogram of original ISAR images, the characteristics of ISAR images are investigated. Given the sparse amplitude distribution of original ISAR image and the shortcomings existing in the sparse linear histogram, this paper proposes an ISAR image detail enhancement algorithm (ISARIDE) based on histogram equalization and dynamic range compression. The advantage of the proposed method is that it can retain the target structure information, and improve the visual effect of human eye to target details as soon as possible. The proposed algorithm was tested on the simulated data and real data. The selected target is a flying Boeing 737-800.The results show the validity of the algorithm.","PeriodicalId":384253,"journal":{"name":"International Symposium on Multispectral Image Processing and Pattern Recognition","volume":"11428 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129633271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Semantic image segmentation network based on deep learning 基于深度学习的语义图像分割网络
Bo Chen, Jiahao Zhang, Jianbang Zhou, Zhong Chen, Jian Yang, Yanna Zhang
{"title":"Semantic image segmentation network based on deep learning","authors":"Bo Chen, Jiahao Zhang, Jianbang Zhou, Zhong Chen, Jian Yang, Yanna Zhang","doi":"10.1117/12.2538067","DOIUrl":"https://doi.org/10.1117/12.2538067","url":null,"abstract":"Semantic segmentation is one of the basic themes in computer vision. Its purpose is to assign semantic tags to each pixel of an image, which has been applied in many fields such as medical field, intelligent transportation and remote sensing image. In this paper, we use deep learning to solve the task of remote sensing semantic image segmentation. We propose an algorithm for semantic segmentation of the Attention Seg-Net network combined with SegNet and attention gate. Our proposed network can better segment vegetation, buildings, water bodies and roads in the test set of remote sensing images.","PeriodicalId":384253,"journal":{"name":"International Symposium on Multispectral Image Processing and Pattern Recognition","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127773207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A real-time FPGA-based architecture of improved ORB 基于fpga的实时改进ORB体系结构
Zizhao Xie, Yu Wang, Zhang Yan, Jianhui Wang, Sheng Zhong
{"title":"A real-time FPGA-based architecture of improved ORB","authors":"Zizhao Xie, Yu Wang, Zhang Yan, Jianhui Wang, Sheng Zhong","doi":"10.1117/12.2538037","DOIUrl":"https://doi.org/10.1117/12.2538037","url":null,"abstract":"This paper proposes a real-time FPGA-based architecture of improved ORB. It proposes a strategy of redistribution of ORB feature points, which solves the problem of sorting FAST points of the whole image by response score. Besides, a strategy for offline generation of rBrief point pair patterns is proposed, which avoids online rotation of neighborhood pixels of feature points. These two strategies greatly reduce the resource consumption and processing clock cycles of the whole architecture. What’s more, the data throughput of the feature extraction step and feature description step is maximized, and finally a completely pipeline architecture is obtained. Due to the tips for parallel processing and resource reuse, the hardware implementation of the proposed architecture costs very few resources and processing cycles. The experimental results show that this architecture can detect feature and extract descriptor from video streams of 1280x720 resolution at 161 frames per second (161 fps), and the extracted ORB features perform well.","PeriodicalId":384253,"journal":{"name":"International Symposium on Multispectral Image Processing and Pattern Recognition","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126449269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A convolution neural network for reconstructing microgrid polarimeter imagery 基于卷积神经网络的微电网偏振仪图像重建
Qiyuan Shao, Wenda He, D. Wei, Mingce Chen, Xinyu Zhang
{"title":"A convolution neural network for reconstructing microgrid polarimeter imagery","authors":"Qiyuan Shao, Wenda He, D. Wei, Mingce Chen, Xinyu Zhang","doi":"10.1117/12.2539319","DOIUrl":"https://doi.org/10.1117/12.2539319","url":null,"abstract":"Light vector polarization as a fundamental property of lightwave, can be used to effectively distinguish objects in complicated circumstance including surface shape and materials type and transmission medium. As shown, polarization imaging is an advanced information acquirement method which combines the light intensity image and light vector vibration behaviors, which is the direction of electric field of incident lightwaves. A typical microgrid polarimeter with a minimum repeat unit is composed of four pixelated linear polarizer demonstrating different vibration directions. Compared with full polarization information, the polarization image obtained has only one quarter polarization information in each direction. Thus, it will influence the accuracy of other information such as Stokes components, the degree of linear polarization (DoLP), and the angle of polarization (AoP). In this paper we propose a polarization demosaicing network to address the poloarized image demosaicing issue, which are then recovered into the original polarized image. This network aims to improve the accuracy of DoLP and AoP of the targets by adjusting three Stokes components of the network output. We already remove the batch normalization (BN) commonly used in CNN, and thus use a customized loss function to make it suitable for polarization image demosaicing. The experimental results show that network has demonstrated a best peak signal-to-noise ratio (PSNR) and then richer image detail and polarization target information than that of the original image.","PeriodicalId":384253,"journal":{"name":"International Symposium on Multispectral Image Processing and Pattern Recognition","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121925637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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