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Journal articles on the topic 'DM644x'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Jiang, Li Biao, Ze Mao Chen, and Yong Qi Wu. "Research and Design of Panoramic Parking System Based on DaVinci Technology." Applied Mechanics and Materials 475-476 (December 2013): 1619–23. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.1619.

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Panoramic parking assistant system demands for the high performance of hardware when capturing, storing, processing image and demands for capturing from four video sources. This paper analyzes the microprocessor TM320DM642 and TM320DM6467(DM642 and DM6467 for short), both of which are based on the DaVinci technology, and presents two solutions for four video capturing and processing, as DM642+TVP5150 and DM6467+TVP5158. Hardware platform based on DM642 has been established and tested. High resolution panoramic video of bird's-eye view is rendered smoothly on the platform. The result shows that

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2

Zhang, Zeng Nian, Zun Yi Wang, Mian Mian Chen, and Jiong Shi. "Intelligent Transportation Video Detecting System Based on DSP." Applied Mechanics and Materials 701-702 (December 2014): 498–504. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.498.

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This paper proposes a method of realizing a moving vehicle video detecting system based on DSP processor, and describes the system's hardware architecture and software design in detail. Based on the characteristic of dual-core of DM6437 processor, the methods of communication protocol between ARM and DSP, as well as the double-buffer switching method are presented. Background modeling is made on the traffic video data from DM6437 via difference accumulation. Background subtraction is used to detect vehicle movement areas. With the adoption of algorithms such as Otsu, morphological filtering an

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3

Chen, Long Hu, Zhen Yu Li, Zhi Wei Tang, and Wan Cai Li. "The Design of 3G Wireless Network Video Acquisition System Based on the DM6446." Applied Mechanics and Materials 303-306 (February 2013): 1939–43. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.1939.

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The 3G wireless network video acquisition system based on the DM6446 is designed, which ARM side of DM6446 complete the main control functions of the system, then it calls H.264 video compression algorithm in DSP side of DM6446 through the Codec Engine, which greatly improves the efficiency of the system, and the RTP protocol control data transmission in the CDMA2000 network. The monitoring display terminal gets video resource by accessing the corresponding IP address. The experimental results show that the system designed completes wireless network video acquisition task safety and reliably,

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4

Tang, Zhi Wei, and Xi Xuan Wu. "One Intelligent Video Surveillance System Based on DM642." Key Engineering Materials 474-476 (April 2011): 392–97. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.392.

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This article introduces an intelligent surveillance distributed system based on TMS320DM642. The system platform has many functions, such as OSD (on screen display), analog video output, digital video output, Hard Disk, Ethernet and so on. DM64. User can set the rules via the management software. The video input from analog cameras and IP cameras can be processed by DM642 according to the rules. If any event happens which acts against the rules, alarm will be given. The system provides immediate, accurate and intelligent services for users. In order to realize the complex image processing algo

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5

Asfandiyarova, Nailya Sayfullaevna. "A review of mortality in type 2 diabetes mellitus." Diabetes mellitus 18, no. 4 (2015): 12–21. http://dx.doi.org/10.14341/dm6846.

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The morbidity and mortality associated with type 2 diabetes have increased over recent years. The causes of death include cardiovascular disease, cancer, infection, kidney disease and diabetic coma. Risk factors for death are a sedentary lifestyle, obesity, smoking, sex, age, duration and severity of diabetes, macro- and microvascular complications and hyper- and hypoglycaemic states. Adequate glycemic control and moderate exercise along with the use of antiplatelet agents (e.g. aspirin), statins, antihypertensives and metformin can reduce mortality. Intensive glucose control was associated wi

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6

WEI Ya-juan, 魏雅娟. "Hardware Circuit Design of DM6446 Video Processing System." OME Information 28, no. 11 (2011): 80–83. http://dx.doi.org/10.3788/omei20112811.0080.

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7

Алексеев, Валерий Борисович, Valerii Borisovich Alekseev, Владимир Яковлевич Козлов та ін. "Памяти Сергея Всеволодовича Яблонского (1924 - 1998)". Diskretnaya Matematika 11, № 1 (1999): 151–57. http://dx.doi.org/10.4213/dm664.

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8

Zhang, Bao Feng, Yi Yang, Jun Chao Zhu, and Cui Li. "Embedded Real-Time Image Processing System Based on DM6446+FPGA Architecture." Advanced Engineering Forum 6-7 (September 2012): 542–46. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.542.

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To solve the traditional image processing system problem such as large in size, high power consumption and poor real-time, an embedded real-time image processing system is designed based on TMS320DM6446+FPGA architecture. DM6446 as the core of the system is responsible for the scheduling, image processing algorithms, image output; field programmable gate array (FPGA) is responsible for capturing real-time image data, image preprocessing. The paper describes the principle of the real-time image processing system. The experiment proved that the system can achieve real-time acquisition, processin

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9

Ghimire, Deepak, Joon-Cheol Kim, and Joon-Whoan Lee. "Security Verification of Video Telephony System Implemented on the DM6446 DaVinci Processor." International Journal of Contents 8, no. 1 (2012): 16–22. http://dx.doi.org/10.5392/ijoc.2012.8.1.016.

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10

Liu, Jun Lin, and Qi Yuan Sun. "Information Processing Based on SQLite for Target Tracking System." Applied Mechanics and Materials 278-280 (January 2013): 2065–68. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.2065.

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As for the digital visual surveillance system, the traditional database and hardware platform can not be good at processing vast quantities of information. Combined with ActiveX Data Objects (ADO) technology, the information processing system was built by using SQLite database with embedded dual-core platform. The embedded database SQLite is implanted in the existing embedded hardware platform DM6446. And processing modules and operating interface were designed based on SQLite and the embedded hardware platform. The designed system can play a role as the core of data processing. The experiment

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11

Wang, Xiu Qing, Xu Qie, Chun Xia Zhang, and Na Zhao. "Research of Video Surveillance and Diagnosis System for Plant Diseases Based on DM6446." Applied Mechanics and Materials 373-375 (August 2013): 892–96. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.892.

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TMS320DM6446 was used as a platform to build a video monitoring and controlling system for plant diseases. TMS320DM6446 can capture and encode the plant video. It delivered the video stream to the PC monitoring center by using streaming technology. Monitoring center displayed the received video, monitored the plant condition of growth and disease, and then obtained the image and relevant characteristics of disease. It used a combination of neural networks and expert systems to diagnose the plant diseases, and gave the control methods. The experimental results show that the proposed system can

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12

Zhiwei TANG, and Lin MEI. "One Vehicle Type Recognition System Based On DM6467." Journal of Convergence Information Technology 8, no. 3 (2013): 278–85. http://dx.doi.org/10.4156/jcit.vol8.issue3.33.

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13

Fang, Hao, Ai Hua Li, and Yan Fei Liu. "Design of Embedded Video Monitoring System Based on DM6437." Advanced Materials Research 1003 (July 2014): 249–53. http://dx.doi.org/10.4028/www.scientific.net/amr.1003.249.

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To solve the difficulty of traditional video monitoring system in system upgrade and expansion, an solution of embedded video monitoring system based on DaVinci technology was put forward in this paper. By building the monitoring platform by DM6437 and DSP/BIOS in the solution, TVP5151 was used for receiving video signal in PAL/NTSC formats, and an JPEG Baseline Profile Encoder was integrated for video encoding, and the 10/100M Ethernet transmission function was realized based on NDK. Finally, the system is tested and the result shows that the system can capture and transmit D1 format signal i

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14

Liu, Jin Qing, Qun Zhen Fan, and Dong Cao. "Application Research of Face Feature Extraction Based on DM642." Advanced Materials Research 139-141 (October 2010): 2024–28. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.2024.

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With the safety awareness strengthened, identification authentication technology has been increasingly concerned. Face recognition is attractive in pattern recognition and artificial intelligence field, and face feature extraction is a very important part in face recognition. This paper first introduced preprocessing of face images, PCA and ICA algorithm. Considering PCA and ICA their respective strengths and weaknesses, then a novel face feature extraction method based on PCA and ICA is proposed. The NN classifier is select to face classification and recognition on the ORL face database. From

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Колмыков, Владислав Алексеевич, та Vladislav Alekseevich Kolmykov. "Эндоморфизмы функциональных графов". Diskretnaya Matematika 18, № 3 (2006): 115–19. http://dx.doi.org/10.4213/dm64.

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16

Liu, Jin Qing, and Qun Zhen Fan. "Design of Live Video Monitoring System Based on DM642." Advanced Materials Research 291-294 (July 2011): 2823–28. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.2823.

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This paper adopts high-speed fixed-point signal processor TMS320DM64 produced by TI company, XC2S150 chip FPGA produced by Xilinx company, video front-end decoder chip SAA7111 and back-end encoding chip AL250 new launched by PHILIP company, which constituted a high-speed, intelligent live video monitoring system. The system video image transmission of strong real-time, high efficiency and good transmission quality can meet the requirements of many video image processing and transmission field application in current, and has a good application prospect. The design of system software and hardwar

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17

Yao, Guang Yu, and Lu Song. "Design of the Target Tracking Process Based on DM648." Applied Mechanics and Materials 599-601 (August 2014): 904–7. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.904.

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Compared with the traditional vehicle detector, the vehicle detection and tracking based on video image processing and the technique of visual target has fast processing speed, and convenient installation and maintenance, and low cost, wide range of monitoring, can obtain more kinds of traffic parameters, and many other advantages, has become more and more widely used in intelligent transportation system (ITS) in recent years. This paper introduces a method for real-time detection, target tracking in traffic image sequences from a fixed single camera. The System adopts TMS320DM648 as the core

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18

Liang, Yitao, Deshan Zhang, Feng Wang, Yonggang Li, and Meng Zhang. "Method of Multiobject Detecting and Tracking Based on DM643." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/365480.

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The technology of moving objects detection has become an important research subject for its extensive application prospect. In this paper, it is presented that interframe difference algorithm and background difference algorithm are combined to update the background. The algorithm can deal with the flaw of background difference algorithm. The mathematical morphology method is employed to denoise the image, which may be helpful to improve the accuracy of the detection. The Pyramid algorithm is used to compress each frame data of video sequence. Then, the detecting and tracking of moving objects

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19

Dong, En Zeng, Sheng Xu Yan, and Kui Xiang Wei. "The Research of Moving Target Detection and Tracking System Based on DM6437." Applied Mechanics and Materials 734 (February 2015): 203–6. http://dx.doi.org/10.4028/www.scientific.net/amm.734.203.

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In order to enhance the rapidity and the accuracy of moving target detection and tracking, and improve the speed of the algorithm on the DSP (digital signal processor), an active visual tracking system was designed based on the gaussian mixture background model and Meanshift algorithm on DM6437. The system use the VLIB library developed by TI, and through the method of gaussian mixture background model to detect the moving objects and use the Meanshift tracking algorithm based on color features to track the target in RGB space. Finally, the system is tested on the hardware platform, and the sy

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20

Vijayalaxmi, B., Kaushik Sekaran, N. Neelima, P. Chandana, Maytham N. Meqdad, and Seifedine Kadry. "Implementation of face and eye detection on DM6437 board using simulink model." Bulletin of Electrical Engineering and Informatics 9, no. 2 (2020): 785–91. http://dx.doi.org/10.11591/eei.v9i2.1703.

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Driver Assistance system is significant in drriver drowsiness to avoid on road accidents. The aim of this research work is to detect the position of driver’s eye for fatigue estimation. It is not unusual to see vehicles moving around even during the nights. In such circumstances there will be very high probability that a driver gets drowsy which may lead to fatal accidents. Providing a solution to this problem has become a motivating factor for this research, which aims at detecting driver fatigue. This research concentrates on locating the eye region failing which a warning signal is generate

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21

Zhao, Yi Ding, and Ming Feng Sun. "Image Processing and Recognition System Based on DaVinci Technology for Coal and Gangue." Applied Mechanics and Materials 130-134 (October 2011): 2107–10. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.2107.

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In this paper, an image processing and recognition system of the coal and gangue has been studied. We adopt digital video processing technology of high performance---DaVinci technology to design the system, which is made up by the chip DM6437 and some peripheral auxiliary equipment. The system takes advantage of the high performance of the chip to process the real-time image collected by the CCD camera. The system uses optimized image processing and recognition algorithms, and makes the recognition of coal and gangue by the different characteristic of their histograms. In the system, the histo

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22

Zhao, Yan Ling, Si Hai Cui, Liang Zhu, and Feng Ling Wu. "Design and Realization of Roughness Measurement System Based on DM642." Applied Mechanics and Materials 16-19 (October 2009): 1025–29. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.1025.

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For features of large data, complex operation and high transport in the process of measurement surface roughness, In this paper, roughness measurement system based on TMS320DM642 (DM642) as its core was designed, then established architecture of system and function modules is described in details, on this basis using of regression analysis to calibrate the relationship between image measuring roughness and actual values. Finally, this paper develops DSP software development platform.

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23

Liu, Zhen Yu, and He Wen Xu. "Application of Machine Vision Based on DM642 of Embedded System." Applied Mechanics and Materials 701-702 (December 2014): 428–32. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.428.

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This article takes the industrial robot workpiece sorting issue as a background, introduces an embedded machine vision system based on DM642. The system realizes the image preprocessing, feature extraction, image recognition and other work in DSP, and transmits detection results to robot controller through network interface. Experimental results show that the system can effectively solve the problem of sorting regular geometric workpiece, and can meet the requirements of real-time and accuracy in industrial applications.

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Zhao, Yi Ding, and Ming Feng Sun. "The Study of Automatic Counting of Coal and Gangue Based on the DaVinci Video Image Processing Technology." Advanced Materials Research 340 (September 2011): 95–98. http://dx.doi.org/10.4028/www.scientific.net/amr.340.95.

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In this paper, an image processing and recognition system of the coal and gangue has been studied, which is made up by the chip DM6437 and some peripheral auxiliary equipment. The image processing arithmetic is realized by the CCS programming environment, and loaded into the target board through the simulator XDS510. The system takes advantage of the high performance of the chip to process the real-time image collected by the CCD camera, and makes count of coal and gangue. In this paper, we mainly use the coal and gangue’s trend of contours to make count，and we achieved to make count of the co

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Liu, Yan Fei, Qi Li, Hao Fang, and Hua Chun Xu. "Research on Embedded System with Implementation of a Moving Object Tracking Algorithm Based on Improved Meanshift on DM6437." Advanced Materials Research 1003 (July 2014): 207–10. http://dx.doi.org/10.4028/www.scientific.net/amr.1003.207.

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To improve the real-time performance of the meanshift algorithm in the embedded system, an improved meanshift algorithm for tracking moving target is proposed in this paper. In order to reduce the influence of background pixel in a target model, the target model is build by using the target model of continuous frames; to reduce the times of iteration, a kalman filter is used to predict the position of moving object in the current frame; to improve the accuracy of the target model, it is updated in real-time. At last, the improved algorithm is realized on a DM6437 platform and the experimental

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Deng, Zheng Hong, Rui Jun Jing, and Li Yan Liu. "Applied-Information Technology with DSP-Based Recognition Algorithms of Driver Fatigue." Advanced Materials Research 1022 (August 2014): 286–91. http://dx.doi.org/10.4028/www.scientific.net/amr.1022.286.

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To be effective, and real-time detect fatigue, system based on the DM642 module,platform and infrared camera collects images and detects fatigue. the optimization algorithm is implementated on the special DSP library. That using skin color Gaussian model, connected domain and integral projection method detects eyes. Target area is divided by adaptive threshold.we use sobel edge detection and extraction of integral projection to extract eyes closure degree, and use PERCOL to judge fatigue. Experiments show that the system improves the computing speed and precision and realizes the real-time det

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27

Yang, Ping Xian, Zhen Bao Liu, and Tao Jin. "Research on Driver Design for CMOS Image Sensor Based on DM642." Applied Mechanics and Materials 321-324 (June 2013): 994–97. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.994.

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This paper mainly researches on the TI company fixed-point digital signal processor TMS320DM642 video capture technology for CMOS image sensors, sensor interface and video mini-driver carried out a detailed analysis, established different levels of peripheral structures under different CMOS Sensor, the research in this field has flexible characteristics and high practical value.

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Peiyi SHEN, Liang ZHANG, Juan SONG, et al. "DM642-Based Fire Detection in Video Sequences Using Statistical Color Model." International Journal of Digital Content Technology and its Applications 7, no. 3 (2013): 669–78. http://dx.doi.org/10.4156/jdcta.vol7.issue3.82.

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29

Xiao, W. H., X. Wan, Z. M. Zhang, R. Liu, and X. Y. Lu. "Design and Realization Real-time Edge Detection System Based on DM642." Advanced Materials Research 216 (March 2011): 233–37. http://dx.doi.org/10.4028/www.scientific.net/amr.216.233.

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This paper introduces the design of a DSP-based video image acquisition and real-time processing system. In this paper, as the main embedded processor TMS320DM642 build real-time edge detection hardware platform. TVP5150PBS video decoder is adopted to acquire video signal and data stream ,and CPLD device is configured for system logic Control, achieve real-time video image acquisition and processing. Experiments show that the system can effectively carry out edge detection, to meet the real-time. The research is supported by the Key Laboratory of Nondestructive Test Ministry of Education. The

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30

Li, Wen Wen, Fu Liu, and Lei Gao. "Design of a Hand-Shape Image Acquisition System Based on DM642." Advanced Materials Research 774-776 (September 2013): 1621–24. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.1621.

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A hand-shape image acquisition system based on DSP was designed for solving the problem of hand-shape recognition. Acquisition configuration was designed, and the key parts (encoder, decoder, memory chip etc.) were selected. Finally, development of image capture driver was put forward. The imaging information were transferred into analog video signal by CCD camera, and analog video signal decoded was transferred to video port of DSP, after that one frame processed image was transferred to display after being encoded. Consequently, the final output image can be observed in displayer. System per

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31

Xiao, Juan, and Jun Ruan. "The Design and Implementation of Track Region Segmentation Algorithm." Applied Mechanics and Materials 519-520 (February 2014): 631–35. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.631.

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With the aid of TI CCS4.0 software development platform, using C language, a kind of track detection algorithm based on gray image is implemented on DM642. The detailed design and implementation steps are introduced. First, image median filtering, vertical sobel edge enhancement, and using the threshold segmentation method for binarization processing. Then search and mark connected domain on the basis of the binary images and prepare for extraction the connected domain about rail. Finally extract and fill around tracks to get a image containng only track region. The experimental results show t

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Jin, Xiao Hui, Wei Yang, Qian Jin Liu, Di Zhao, and Sheng Xu. "Improved Moving Target Detection Technology." Advanced Materials Research 971-973 (June 2014): 1628–32. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1628.

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In order to detect target clearly, a detection system based on DM642 was designed. The system used improved frame-difference method combined with the background subtraction to detect target. First, the CCD camera scanned the surroundings step by step, then the background model was built, and improved three-frame-difference method was used to get the three-frame-difference image. The target image was the difference of target region extracted by three-frame-difference method and the target region extracted by background subtraction method. Experiments showed that the target image had less interf

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33

Dong, Chen, and Shu Guang Dai. "Design of Program Framework of Binocular Vision Measurement System Based on DM642." Applied Mechanics and Materials 220-223 (November 2012): 1311–14. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.1311.

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As the rapid progress and development of DSP technology, a new way to solve the video signal processing was accepted. At present, binocular measurement instrument are mostly based on image capture card and PC on the market, expensive and bulky. For this problem, binocular vision measurement system based on DSP has been used. The design of elementary program structure about video processing which based on DSP/BIOS was finished and verified for its real-time. The results of the experiment show that the driver can be well used in the system.

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Hong, Zhang, Feng Xianzhou, Lyu Ming, Zhang Jie, Li Haiyan, and Liu Lei. "Networked Video Smoke and Fire Monitoring System Based on DM642 and i.MX27." International Journal of Smart Home 11, no. 2 (2017): 25–38. http://dx.doi.org/10.14257/ijsh.2017.11.2.03.

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Chang, Sun, and Fu Chao. "Research on Pedestrian Recognition Based on DM642 Driver Assistance System on Vehicle." IOP Conference Series: Materials Science and Engineering 612 (October 19, 2019): 052049. http://dx.doi.org/10.1088/1757-899x/612/5/052049.

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Dai, Min, Chen Yang Wang, Kai Chen, and Zhi Sheng Zhang. "The Research on a Rapid Appearance Detection Method for Vertical Polarized Electrolytic Capacitors." Applied Mechanics and Materials 415 (September 2013): 333–37. http://dx.doi.org/10.4028/www.scientific.net/amm.415.333.

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For detecting the defects of the vertical polarized electrolytic capacitors in the process of production, an online machine vision detection method based on DSP is proposed in this paper. The hardware framework is designed emphatically with DM642 as the core processor, which has the advantages of small size, fast processing speed, low cost and low power consumption. The software workflow of the capacitors defects detection is introduced. To meet the requirement of high production and real-time detection of capacitors, a rapid appearance detection algorithm is introduced by using a few number o

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Tsao, Shun-Hsien, Yu-Luen Chen, Jhe-Jyu Luh, Jin-Shin Lai, Te-Son Kuo, and Han-Shuan Wu. "PEDESTRIAN TRAFFIC LIGHT RECOGNITION FOR THE VISUALLY IMPAIRED." Biomedical Engineering: Applications, Basis and Communications 19, no. 05 (2007): 289–94. http://dx.doi.org/10.4015/s1016237207000380.

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In this research, we employ the technology of computer vision to recognize traffic light. We manipulate the color information of traffic light under HSI color space. And then, adding motor tracking technology, we can trap the traffic light which is subjected to a region of interest (ROI) to the center area of monitor. Meanwhile, we assign different frequency (peach) according to red light or green light to inform the people what state the light is. We develop the algorithm at PC with MATLAB. Then, we port the whole system to DSP platform TI TMS320 DM642 EVM. The result is that in the condition

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Zhao, Yu Qin, Run Shen Zhang, Yong Kun Li, and Jun Jie Zang. "System Designation and Optimization in Real-Time Identification of Lane Boundary Based on DM642." Advanced Materials Research 433-440 (January 2012): 2571–77. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.2571.

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The hardware and programming of lane boundary identification system, which based on the hardware platform of DM642, designed. The system complete the functions of acquiring image data, optimizing acquired data by ant algorithm, comparing value by the objective function, exporting image of lane boundary and so on. For the sake of improving the real time capability further, optimize code by way of methods, which include the optimization of compiler, intrinsic function, packaging data, using pipeline technique, and assembly code, giving specific optimization methods and real time capability of al

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Sun, Qi Jian, and Zheng Ma. "An Iris Image Acquisition Method Based on Embedded System." Applied Mechanics and Materials 313-314 (March 2013): 1197–200. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.1197.

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Capturing an iris image rapidly is required for iris image acquisition embedded system. For the traditional method, an iris image must firstly pass through the quality evaluation, which is complex, so the acquisition speed is very slow. This paper described an iris acquisition embedded system, and a new capturing method. The system includes an DSP DM642, and some relevant peripherals. When an image is acquired, it is filtered by the capture-control function, if passed then be stored the image, until capturing the assigned amount. Using this method, we can rapidly capture the high quality iris

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Zhang, Bao Feng, and Xiao Kun Chang. "Design and Realization of High Speed Data Transmission Based on PCI Bus of DM642." Advanced Materials Research 433-440 (January 2012): 3688–91. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3688.

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For realizing data acquisition and transmission based on PCI bus, a device driver was designed for data acquisition card, which use TMS320DM642 of TI and it’s PCI interface as transfer protocol. And in this development, we use VC++6.0, DDK and DriverStudio3.2 to develop the PCI bus driver for Windows XP, and realizing DMA high-speed data transfer method between data acquisition card and computer RAM.

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Song, Kai, Zhe Wang, and Feng Ju Shen. "The Research and Design of Portable Leaf Disease Spots Image Acquisition System." Applied Mechanics and Materials 128-129 (October 2011): 1480–83. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.1480.

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The crop leaf disease spots image recognition technology has a great significance in identifying diseases and in effective spraying of pesticides to liminate diseases. We researched and designed the portable leaf disease spots image acquisition system since current PC-based processing system is high cost and lack of flexibility and real-timing, This system uses a high-performance 32-bit DSP chip based DM642 as its main processor, and also uses ultra-low power consumption and ultra-small size video decoder chips, large-capacity memories and high-performance communicator interfaces. As a result

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Wu, Bing-Fei, Chih-Chung Kao, Ying-Feng Li, and Min-Yu Tsai. "A Real-Time Embedded Blind Spot Safety Assistance System." International Journal of Vehicular Technology 2012 (April 22, 2012): 1–15. http://dx.doi.org/10.1155/2012/506235.

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This paper presents an effective vehicle and motorcycle detection system in the blind spot area in the daytime and nighttime scenes. The proposed method identifies vehicle and motorcycle by detecting the shadow and the edge features in the daytime, and the vehicle and motorcycle could be detected through locating the headlights at nighttime. First, shadow segmentation is performed to briefly locate the position of the vehicle. Then, the vertical and horizontal edges are utilized to verify the existence of the vehicle. After that, tracking procedure is operated to track the same vehicle in the

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Vieira, Saulo Martins, Surza Lucia Gonçalves da Rocha, Ana Gisele da Costa Neves-Ferreira, Rodrigo Volcan Almeida, and Jonas Perales. "Heterologous expression of the antimyotoxic protein DM64 in Pichia pastoris." PLOS Neglected Tropical Diseases 11, no. 7 (2017): e0005829. http://dx.doi.org/10.1371/journal.pntd.0005829.

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Wei, Ming Zhe, and Wan Wei Tang. "The Design of Real-Time and High-Speed Video Processing Platform for Aerial UAV Based on DM642." Advanced Materials Research 1061-1062 (December 2014): 1186–89. http://dx.doi.org/10.4028/www.scientific.net/amr.1061-1062.1186.

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With the rapid development of aerial UAV (Unmanned Aerial Vehicle), the design of real-time data acquisition and transmission system for the video signal has a new applied field. It is different from traditional video acquisition and processing system, aerial video signal has the problems of screen jitter and spatial interference. The processing algorithm of aerial UAV airborne video signal is put forward in the paper, and the platform of high speed procession is constructed based on chip TMS320DM642, and get a good effect.

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Liu, Feng, Xin Kun Zhang, Can Yu, and Jun Xiang Gao. "Design of Mobile Video Acquisition and Communication System Based on Embedded Technology." Advanced Materials Research 694-697 (May 2013): 2634–37. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.2634.

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In recent years, video data acquisition and wireless communication are increasingly applied in the field of intelligent transportation and environmental monitoring due to its promising capability. A design of data acquisition and communication system based on embedded technology is proposed in this paper. The architecture is discussed, and the detailed design of the system is given including hardware and software solution. Chip S3C6410 and DM642 were considered as the core of information acquisition and processing. Acquired data was sent to database server on control center with integrating wi

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Rocha, S. L. G., A. G. C. Neves-Ferreira, M. R. O. Trugilho, R. H. Valente, G. B. Domont, and J. Perales. "230. Determining the Interaction Region Between the Antimyotoxin DM64 and a Snake Venom Myotoxin." Toxicon 60, no. 2 (2012): 213. http://dx.doi.org/10.1016/j.toxicon.2012.04.231.

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Rocha, Surza L. G., Ana G. C. Neves-Ferreira, Monique R. O. Trugilho, et al. "Screening for target toxins of the antiophidic protein DM64 through a gel-based interactomics approach." Journal of Proteomics 151 (January 2017): 204–13. http://dx.doi.org/10.1016/j.jprot.2016.05.020.

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Rocha, Surza L. G., Bruno Lomonte, Ana G. C. Neves-Ferreira, et al. "Functional analysis of DM64, an antimyotoxic protein with immunoglobulin-like structure from Didelphis marsupialis serum." European Journal of Biochemistry 269, no. 24 (2002): 6052–62. http://dx.doi.org/10.1046/j.1432-1033.2002.03308.x.

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Röhm, Eberhard H. "Die französischen Verstaatlichungen. By Geneviève Burdeau. Heidelberg: Verlagsgesellschaft Recht und Wirtschaft mbH, 1984. Pp. 115. DM64." American Journal of International Law 79, no. 3 (1985): 831–34. http://dx.doi.org/10.2307/2201935.

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León, Ileana Rodriguez, Ana Gisele da Costa Neves-Ferreira, Surza Lucia Gonçalves da Rocha, Monique Ramos de Oliveira Trugilho, Jonas Perales, and Richard Hemmi Valente. "Using mass spectrometry to explore the neglected glycan moieties of the antiophidic proteins DM43 and DM64." PROTEOMICS 12, no. 17 (2012): 2753–65. http://dx.doi.org/10.1002/pmic.201200062.

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