Abstract

This work presents the development of self-modifiable Intellectual Property (IP) modules for histogram calculation using the modelbased design technique provided by Xilinx System Generator. In this work, an analysis and a comparison among histogram calculation architectures are presented, selecting the best solution for the design flow used. Also, the paper emphasizes the use of generic architectures capable of been adjustable by a self configurable procedure to ensure a processing flow adequate to the application requirements. In addition, the implementation of a configurable IP module for histogram calculation using a model-based design flow is described and some implementation results are shown over a Xilinx FPGA Spartan-6 LX45.

Highlights

  • Digital Image Processing (DIP) tasks have, as their main objective, the application of certain mathematical operations over an image to obtain a desired result (González & Woods, 2007)

  • The main problem in this architecture is the use of many logic resources for the counters array, whose size is equal to the number of color or gray levels selected for the image histogram calculation

  • In this article a modifiable histogram calculation Intellectual Property (IP) module using System Generator model-based design flow and a self-configuration procedure are presented, compatible with XIL XSGImgLib toolbox for Xilinx FPGAs. This IP allows to speed up the design process of complex computer vision systems, adjusting the resource consumption for the application requirements

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Summary

Introduction

Digital Image Processing (DIP) tasks have, as their main objective, the application of certain mathematical operations over an image to obtain a desired result (González & Woods, 2007). The present article describes the implementation of a self-configurable IP module for histogram calculation that could change its internal architecture using a System Generator model-based design flow.

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