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Design for Embedded Image Processing on FPGAs Donald G. Bailey
Publisher: Wiley-Blackwell

Vision navigation is a way that controls the direction when vehicle moving based on the positional difference between the path and the vehicle, so, incepting and processing the colorized path image is the base and pivotal approach in it. Since 1986, VCIP has served as a premier forum in SPIE for the exchange of fundamental research results and technological advances in the field of visual communications and image processing. The papers are organized in topical sections on FPGA security and bitstream analysis, fault tolerant systems, architectures, place and route techniques, cryptography, and resource allocation and scheduling, as well as on applications. In this work we have set a foundation for a dedicated embedded platform for preprocessing of images to calculate the processing time before the images are sent to the computer.The objective of the designed system is to read high definition real time digital video from an input such as a microscope or a camera and implement image processing algorithms of smoothing and filtering before sending the output. Embedded image processing software in the brain and eyes is as amazing as the optical designs. DASIP 2012 : Conference on Design and Architectures for Signal and Image Processing. In the current design of vision guide system, general CPU, embedded CPU and DSP are the foundations of the hardware platform. -Get a webcam working with the Raspberry Pi, accessed via python and C (most likely using openCV). Implement image processing algorithms. The computing capability of eye visual systems could be likened to modular programmed FPGAs or other similar electronic devices. Design, implement, debug, test and maintain embedded software systems. Coordinate design efforts with FPGA and hardware engineers to develop solutions. -Determining the image processing capabilities of the Raspberry Pi. The processor used in the system allows run time control.