The application of colour FIRE to robot vision

@article{Croft2010TheAO,
  title={The application of colour FIRE to robot vision},
  author={David Croft and Simon Coupland},
  journal={2010 UK Workshop on Computational Intelligence (UKCI)},
  year={2010},
  pages={1-6}
}
  • David CroftS. Coupland
  • Published 9 November 2010
  • Computer Science
  • 2010 UK Workshop on Computational Intelligence (UKCI)
This paper presents a modified FIRE algorithm capable of performing robust edge detection on full colour images. The colour FIRE algorithm is demonstrated on the well known Lena image and comparisons are made with existing edge detection methods. The main application of the colour FIRE presented here is that of robot vision, in particular the application to robot design for the puck collect competition held annually in Vienna, Austria. We show the colour FIRE algorithm to be useful in a robot… 
1 Citations

Design of a Flexible and Project Based Postgraduate Module on Applied Computational Intelligence: A Case Study

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References

SHOWING 1-8 OF 8 REFERENCES

Fuzzy Logic-Based Image Processing Using Graphics Processor Units

A 126 time speed improvement can be made to fuzzy edge extraction making its processing real-time, and with a computational speed improvement of over two orders of magnitude, more time can be allocated to higher level computer vision algorithms.

A Computational Approach to Edge Detection

  • J. Canny
  • Computer Science
    IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 1986
There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.

Computer and Robot Vision

Computer and Robot Vision Vol. 1, by R.M. Haralick and Linda G. Shapiro, Addison-Wesley, 1992, ISBN 0-201-10887-1.

Edge extraction by FIRE operators

  • F. RussoG. Ramponi
  • Computer Science
    Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference
  • 1994
It is shown how FIRE operators can be designed in order to comply with the following two requirements: 1) extraction of edges from a noiseless image by means of the simplest possible rule-base; 2) extraction from a noisy image.

A Fast Geometric Method for Defuzzification of Type-2 Fuzzy Sets

A new method for assessing the accuracy of the membership function of a type-2 fuzzy set and the differences between the new approach and type-reduction are discussed, identifying the origin of this massive improvement in execution speed.

Robotchallenge: Home

  • Robotchallenge: Home
  • 2010

Puckman rc2010-234 -innoc

  • Puckman rc2010-234 -innoc
  • 2010

Fuzzy logic-based edge extraction using graphics processor units

  • Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009)
  • 2009