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A new approach blends a new camera architecture based on a digital micro-mirror device with the new mathematical theory and algorithms of compressive sampling. The “single-pixel” compressive digital camera functions by the method of focussing the desired image onto a digital micro-mirror device (DMD) consisting of an array of N tiny mirrors. Camera architecture employs a digital micromirror array...
The use of computer vision based approach has started to bring the intelligence to many of the modern machineries. Such kind of high performance image processing systems can be efficiently built using Field Programmable Gate Arrays (FPGAs). This paper presents the design and implementation of FPGA based Computer Vision System for offset error computation of a new proposed registration mark pattern...
This paper presents the design and implementation of robust real-time visual servoing control with an FPGA-based image co-processor for a rotary inverted pendulum. The position of the pendulum is measured with a machine vision system whose image processing algorithms are pipelined and implemented on a field programmable gate array (FPGA) device to meet real-time constraints. To enforce robustness...
In this paper we present a class of emergent algorithms called Marching Pixels which can be used for real time image processing in smart camera chips. Marching Pixels are based on hardware agents which are virtually crawling in a pixel grid image to find attributes like centroid, rotation and size of an arbitrary number of objects given in an image. Due to the distributed and local processing scheme...
Edge detection operation is an essential part in the field of image processing. There are few ways to improve the performance of edge detection. This paper proposes a FPGA-based approach Sobel edge detection. An image is captured by a CMOS camera and converted into RGB color space and the image is converted into grayscale to obtain image intensity for edge detection. The proposed Sobel edge detection...
The objective of this paper was to develop a real time hardware image processing system which is based on field programmable gate array (FPGA). The chosen image processing algorithms implemented was edge detection. This work utilizes Altera DE2 development board powered by Cyclone II FGPA pair with 1.3 Mega pixel CMOS camera from Terasic Technologies. Verilog HDL was used as the hardware programming...
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