Sonar image processing system is an important intelligent system of Autonomous Un-derwater Vehicle.Based on TMS320C30 high speed DSP,it is used to realize sonar imagecompression and underwater object detections includ...Sonar image processing system is an important intelligent system of Autonomous Un-derwater Vehicle.Based on TMS320C30 high speed DSP,it is used to realize sonar imagecompression and underwater object detections including obstacle recognition in real time.Inthis paper,the software and hardware designs of this system are introduced and the experi-mental results are given.展开更多
In order to achieve high-speed, real-time and accurate, an image acquisition method based on digital signal processor (DSP) TMS320DM642 is proposed for the paper currency image acquisition [1]. System will be high spe...In order to achieve high-speed, real-time and accurate, an image acquisition method based on digital signal processor (DSP) TMS320DM642 is proposed for the paper currency image acquisition [1]. System will be high speed digital signal processing (DSP) technology and complex programmable logic device (CPLD) and CIS acquisition module combination, the structure of acquisition system is given and the time series analysis, during the process of collecting this kind of design has the advantages of simple implementation, high recognition rate [2].展开更多
In this paper, we present an optimized design method for high-speed embedded image processing system using 32 bit floating-point Digital Signal Processor （DSP） and Complex Programmable Logic Device （CPLD）. The DSP...In this paper, we present an optimized design method for high-speed embedded image processing system using 32 bit floating-point Digital Signal Processor （DSP） and Complex Programmable Logic Device （CPLD）. The DSP acts as the main processor of the system： executes digital image processing algorithms and operates other devices such as image sensor and CPLD. The CPLD is used to acquire images and achieve complex logic control of the whole system. Some key technologies are introduced to enhance the performance of our system. In particular, the use of DSP/BIOS tool to develop DSP applications makes our program run much more efficiently. As a result, this system can provide an excellent computing platform not only for executing complex image processing algorithms, but also for other digital signal processing or multi-channel data collection by choosing different sensors or Analog-to-Digital （A/D） converters.展开更多
基于飞行时间(time of flight,ToF)传感技术的3D视觉系统,其主要构成有光源、传感器,及需要对感知的信号进行处理的图像信号处理器(image signal processor,ISP)。3D ISP能满足图像质量、处理性能、功耗及成本的要求,是未来3D成像系统...基于飞行时间(time of flight,ToF)传感技术的3D视觉系统,其主要构成有光源、传感器,及需要对感知的信号进行处理的图像信号处理器(image signal processor,ISP)。3D ISP能满足图像质量、处理性能、功耗及成本的要求,是未来3D成像系统不可或缺的一部分。主要针对基于ToF图像传感器的ISP算法的研究现状及趋势进行介绍。展开更多
随着机器人产业的快速发展,机器人技术已成为推动生产力提升的新动力,特别是三维重建、避障导航等技术的重要性日益凸显。基于飞行时间(Time of Flight,ToF)和结构光等主动式三维成像技术受限于自身分辨率较低、缺乏色彩信息和易受环境...随着机器人产业的快速发展,机器人技术已成为推动生产力提升的新动力,特别是三维重建、避障导航等技术的重要性日益凸显。基于飞行时间(Time of Flight,ToF)和结构光等主动式三维成像技术受限于自身分辨率较低、缺乏色彩信息和易受环境光干扰等因素,表现不够理想。因此,能够实时精确输出稠密深度和色彩信息(RGB D)的被动式双目立体视觉传感器在自主移动机器人、汽车和微型无人机等领域得到了广泛应用。然而,双目立体视觉技术通过模仿人类双眼计算视差来提供深度信息,计算复杂度高且依赖于通用计算平台,导致双目立体视觉处理器面临着高能耗和高延迟等问题,这限制了该技术在高速场景、小型机器人和边缘计算等领域的应用。近年来,那些集成了立体视觉算法专用硬件加速器的双目立体视觉处理器在学术界和产业界引起了广泛关注。本文首先系统阐述了双目三维立体视觉的理论基础及其在机器人立体视觉的应用实例,接着介绍了双目立体视觉处理器的组成结构,包括图像获取、相机标定与校正、立体匹配等核心部分。为便于立体视觉硬件开发者参考,本文根据双目立体视觉系统的核心组成结构,分别综述了基本概念、研究现状和难点与挑战,并特别关注和对比了新型硬件计算架构。展开更多
在当前图像采集领域高分辨率、高帧率的要求下,移动产业处理器接口(Mobile Industry Processor Interface,MIPI)协议成为主流的高速图像数据传输协议。基于MIPI协议,采用IMX214图像传感器,通过自主设计图像数据采集板,满足4通道高速差...在当前图像采集领域高分辨率、高帧率的要求下,移动产业处理器接口(Mobile Industry Processor Interface,MIPI)协议成为主流的高速图像数据传输协议。基于MIPI协议,采用IMX214图像传感器,通过自主设计图像数据采集板,满足4通道高速差分信号传输,提出一种高速图像传感器数据采集电路的设计方案。使用现场可编程逻辑门阵列(Field Programmable Gate Array,FPGA)对图像传感器进行驱动控制与协议解析。测试结果表明,所设计的Verilog代码能够正确配置图像传感器的寄存器,并完成工作模式切换、字节串并转换、包头解析与格式转换等步骤,最终获得原始图像数据。展开更多
基金the High Technology Research and Development Programme of china.
文摘Sonar image processing system is an important intelligent system of Autonomous Un-derwater Vehicle.Based on TMS320C30 high speed DSP,it is used to realize sonar imagecompression and underwater object detections including obstacle recognition in real time.Inthis paper,the software and hardware designs of this system are introduced and the experi-mental results are given.
文摘In order to achieve high-speed, real-time and accurate, an image acquisition method based on digital signal processor (DSP) TMS320DM642 is proposed for the paper currency image acquisition [1]. System will be high speed digital signal processing (DSP) technology and complex programmable logic device (CPLD) and CIS acquisition module combination, the structure of acquisition system is given and the time series analysis, during the process of collecting this kind of design has the advantages of simple implementation, high recognition rate [2].
基金Supported by the National Natural Science Foundation of China (No.60472046)
文摘In this paper, we present an optimized design method for high-speed embedded image processing system using 32 bit floating-point Digital Signal Processor （DSP） and Complex Programmable Logic Device （CPLD）. The DSP acts as the main processor of the system： executes digital image processing algorithms and operates other devices such as image sensor and CPLD. The CPLD is used to acquire images and achieve complex logic control of the whole system. Some key technologies are introduced to enhance the performance of our system. In particular, the use of DSP/BIOS tool to develop DSP applications makes our program run much more efficiently. As a result, this system can provide an excellent computing platform not only for executing complex image processing algorithms, but also for other digital signal processing or multi-channel data collection by choosing different sensors or Analog-to-Digital （A/D） converters.
文摘基于飞行时间(time of flight,ToF)传感技术的3D视觉系统,其主要构成有光源、传感器,及需要对感知的信号进行处理的图像信号处理器(image signal processor,ISP)。3D ISP能满足图像质量、处理性能、功耗及成本的要求,是未来3D成像系统不可或缺的一部分。主要针对基于ToF图像传感器的ISP算法的研究现状及趋势进行介绍。
文摘随着机器人产业的快速发展,机器人技术已成为推动生产力提升的新动力,特别是三维重建、避障导航等技术的重要性日益凸显。基于飞行时间(Time of Flight,ToF)和结构光等主动式三维成像技术受限于自身分辨率较低、缺乏色彩信息和易受环境光干扰等因素,表现不够理想。因此,能够实时精确输出稠密深度和色彩信息(RGB D)的被动式双目立体视觉传感器在自主移动机器人、汽车和微型无人机等领域得到了广泛应用。然而,双目立体视觉技术通过模仿人类双眼计算视差来提供深度信息,计算复杂度高且依赖于通用计算平台,导致双目立体视觉处理器面临着高能耗和高延迟等问题,这限制了该技术在高速场景、小型机器人和边缘计算等领域的应用。近年来,那些集成了立体视觉算法专用硬件加速器的双目立体视觉处理器在学术界和产业界引起了广泛关注。本文首先系统阐述了双目三维立体视觉的理论基础及其在机器人立体视觉的应用实例,接着介绍了双目立体视觉处理器的组成结构,包括图像获取、相机标定与校正、立体匹配等核心部分。为便于立体视觉硬件开发者参考,本文根据双目立体视觉系统的核心组成结构,分别综述了基本概念、研究现状和难点与挑战,并特别关注和对比了新型硬件计算架构。
