Paper
1 June 2005 A customizable system for real-time image processing using the Blackfin DSProcessor and the MicroC/OS-II real-time kernel
Stephen Coffey, Joseph Connell
Author Affiliations +
Abstract
This paper presents a development platform for real-time image processing based on the ADSP-BF533 Blackfin processor and the MicroC/OS-II real-time operating system (RTOS). MicroC/OS-II is a completely portable, ROMable, pre-emptive, real-time kernel. The Blackfin Digital Signal Processors (DSPs), incorporating the Analog Devices/Intel Micro Signal Architecture (MSA), are a broad family of 16-bit fixed-point products with a dual Multiply Accumulate (MAC) core. In addition, they have a rich instruction set with variable instruction length and both DSP and MCU functionality thus making them ideal for media based applications. Using the MicroC/OS-II for task scheduling and management, the proposed system can capture and process raw RGB data from any standard 8-bit greyscale image sensor in soft real-time and then display the processed result using a simple PC graphical user interface (GUI). Additionally, the GUI allows configuration of the image capture rate and the system and core DSP clock rates thereby allowing connectivity to a selection of image sensors and memory devices. The GUI also allows selection from a set of image processing algorithms based in the embedded operating system.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen Coffey and Joseph Connell "A customizable system for real-time image processing using the Blackfin DSProcessor and the MicroC/OS-II real-time kernel", Proc. SPIE 5823, Opto-Ireland 2005: Imaging and Vision, (1 June 2005); https://doi.org/10.1117/12.605680
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Cited by 1 scholarly publication.
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KEYWORDS
Image processing

Digital signal processing

Clocks

Intelligence systems

Control systems

Image sensors

Cameras

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