Servers Investigate

A Genetic Programming Approach to Reconfigure a Morphological Image Processing Architecture

Download now Free registration required

Executive Summary

Mathematical morphology supplies powerful tools for low-level image analysis. Many applications in computer vision require dedicated hardware for real-time execution. The design of morphological operators for a given application is not a trivial one. Genetic programming is a branch of evolutionary computing, and it is consolidating as a promising method for applications of digital image processing. The main objective of genetic programming is to discover how computers can learn to solve problems without being programmed for that.

  • Format: PDF
  • Size: 1999.5 KB