Publications

For post 2000 see the Texture lab’s pages.

Otherwise see below.

  1. D.M. Lane, M.J. Chantler, E.W. Robertson, and A.G. McFadzean, A.G,
    A distributed problem solving architecture for sonar image interpretation“, Journal of the Society for Underwater Technology, Vol. 14, No. 3, Autumn 1988, pp.12-18.
  2. A. Aldea and M.J. Chantler,
    Tilde: Un sistema diagnostico restruingido“, Inteligencia Artificial, May 1994, pp 41-46.
  3. R.R. Leitch, M.J. Chantler, Q. Shen, G. Coghill,
    A preliminary specification methodology for model-based diagnosis“, Annals of Mathematics and Artificial Intelligence, 1994, No. 11, pp11-32.
  4. M.J. Chantler,
    Why illuminant direction is fundamental to texture analysis“, IEE Proceedings: Vision, Image and Signal Processing, Vol. 142, No. 4, August 1995, pp199-206.
  5. R.R. Leitch, M.J. Chantler, K. Brown, T. Kane, Q. Shen, G. Coghill, A. Steele, A. Aldea, J. Liddle, S. McDonnchadha, D. Reay, and M. Ravindranathan
    Modelling choices in intelligent systems“, Journal of Artificial Intelligence and Simulation of Behaviour, Autumn 1995, pp 54-60.
  6. M.J. Chantler, D.M. Lane, D.Y. Dai and N. Williams,
    Detection and tracking of returns in sector scan sonar image sequences“, IEE proceedings Radar, Sonar and Navigation, Vol. 143, No. 3, June 1996, pp157-162.
  7. M.J. Chantler and G.B. Delguste,
    Illuminant tilt estimation from images of isotropic texture” IEE Proceedings: Vision, Image and Signal Processing, Vol. 144, No. 4, August 1996, pp213-219.
  8. M.J. Chantler, J.P. Stoner,
    Automatic interpretation of sonar image sequences using temporal feature measures“, IEEE Journal of Oceanic Engineering, Vol. 22, No. 1, January 1997).
  9. M.J. Chantler, J. Clark and M. Umasuthan,
    Calibration and operation of an underwater laser triangulation system: the varying baseline problem“, Optical Engineering, Vol. 36, No. 9, September 1997, pp2604-2611,
  10. M.J. Chantler, G. Coghill , Q. Shen, and R.R. Leitch,
    Selecting tools and techniques for model-based diagnosis“, Artificial Intelligence in Engineering, Vol. 12, January 1988, pp81-98.
  11. D.M. Lane, M.J. Chantler, and D.Y. Dai,
    Robust tracking of multiple objects in sector-scan sonar image sequences using optical flow motion estimation” IEEE Journal of Oceanic Engineering, Vol. 23, No. 1, January 1988, pp 31-46.
  12. M.J. Chantler and A. Aldea,
    A scheduling algorithm for time-constrained model-based diagnosis“, Engineering Applications of Artificial Intelligence, Vol. 11, No. 1, 1988, pp. 135-148.
  13. V. Rigaud, E. Coste-Maniere, M.J. Aldon, P. Probert, M. Perrier, P. Rives, D. Simon,  D. Lang, J. Kiener, A. Casal, J. Amar, P. Dauchez, M. Chantler,
    UNION: underwater intelligent operation and navigation“, IEEE Robotics & Automation Magazine, vol.5, no.1, March 1998, pp.25-35.
  14. J.M. Bell, M.J. Chantler and T. Wittig,
    Sidescan sonar: a directional filter of seabed texture“, IEE proceedings Radar, Sonar and Navigation, Vol. 146, No. 1, February 1999, pp65-72.
  15. R.R. Leitch, Q. Shen, G. M. Coghill and M. J. Chantler,
    Choosing the Right Model“, IEE Proceedings – Control Theory and Applications, 146(5), 1999, pp435-449.
  16. I. Tena Ruiz, D. M. Lane, M. J. Chantler,
    A comparison of inter-frame feature measures for robust object classification in sector scan sonar image sequences“, IEEE Journal of Oceanic Engineering, Vol. 24, No. 4, October 1999, pp458 – 469.
  17. G. McGunnigle, M.J. Chantler,
    Rotation invariant classification of rough surfaces” IEE Proceedings: Vision, Image and Signal Processing, Vol. 146, No.6, December 1999.
  18. G. McGunnigle, M.J. Chantler,
    Rough surface classification using point statistics from photometric stereo“, Pattern Recognition Letters,  Vol. 21: (6-7) , June 2000, pp593-604.
  19. M. Chantler, P. Pogliano, A. Aldea, G. Tornielli, T. Wyatt, A. Jolley,
    The use of fault-recorder data for diagnosing timing and other related faults in electricity transmission networks” IEEE Transactions on Power Systems, Vol. 15, Issue 4 , November 2000, pp1388 -1393.
  20. G. McGunnigle M.J. Chantler,
    Evaluating Kube and Pentland’s fractal imaging model“, to appear in IEEE Trans. on Image Processing . 

    Books and chapters

  21. D.M. Lane, M.J. Chantler, E.W. Robertson, and A.G. McFadzean, A.G,
    “A distributed problem solving architecture for knowledge-based vision”, Chapter 17 of “Distributed artificial intelligence”, Morgan Kaufmann, 1989. 

    Ph.D. thesis

  22. M.J. Chantler,
    “The effect of variation in illuminant direction on texture classification”, Ph.D. thesis, Dept. Computing and Electrical Engineering, Heriot-Watt University, August 1994. 

    Conference papers – refereed

  23. M.J. Chantler,
    “Real time aspects of expert systems in process control”, IEE Colloquium on “Expert Systems in Process Control”, London, 28th March 1988.
  24. D.M. Lane, M.J. Chantler and A.G. McFadzean,
    “Knowledge based sensor interpretation for autonomous underwater vehicles”, 6th International Symposium on Unmanned, Untethered Submersible Technology, Elliott City, Maryland, 12-14 June 1989.
  25. M.J. Chantler,
    “Time-constrained reasoning and consistency maintenance for real-time knowledge-based systems”, Proceedings of The Second International Conference on Software Engineering for Real-Time Systems, Cirencester, 18-20 September 1989.
  26. M.J. Chantler, and C.St. J. Reid ,
    “Integration of ultrasonic and vision sensors for 3-D underwater scene analysis”, IEEE International Conference on Systems, Man and Cybernetics, Cambridge MA, 14-17 November 1989.
  27. M.J. Chantler, D.M. Lane and A.G. McFadzean,
    “Responsive and time-constrained reasoning in autonomous vehicles”, IEEE International Conference on Systems, Man and Cybernetics, Cambridge, MA, 14-17 November, 1989.
  28. M.J. Chantler and C.St.J. Reid,
    “Sensor fusion of range and intensity data for subsea robotics”, Fifth International Conference on Advanced Robotics in Unstructured Environments, Pisa, June, 1991.
  29. M.J. Chantler and C.St. J. Reid ,
    “Local scene analysis and interpretation for robotic manipulation”, 7th International Symposium on Unmanned Untethered Submersible Technology, New Hampshire, September 1991.
  30. M.J. Chantler and C.St. J. Reid ,
    “Automatic but supervised segmentation as basis for multisensor integration”, Proceedings of IARP 2nd International workshop on Sensor Fusion and Environmental Modelling, Oxford, September 1991.
  31. A. Aldea and M.J. Chantler,
    “An architecture for time-limited model-based diagnosis”, IEE Colloquium on “Intelligent Fault Diagnosis”, 25-26 February 1992, Digest No. 1992/048.
  32. A. Aldea and M.J. Chantler,
    “Time-constrained diagnosis using hierarchical models”, Intelligent Systems Engineering Conference, Heriot-Watt, August 1992.
  33. M.J. Chantler and C.St. J. Reid ,
    “Probabilistic sensor fusion for reliable workspace sensing”, Fourth IARP workshop on Underwater Robotics, Genoa, November 1992.
  34. R.R. Leitch, Q. Shen, G. Coghill, M. Chantler and A. Slater,
    “Qualitative model based diagnosis of a continuous process”, Proceedings of the Eighth International Conference on Applications of Artificial Intelligence in Engineering, Toulouse, 1993, Vol. 2, pp291-309
  35. R. Leitch, M. J. Chantler, Q. Shen, and G. M. Coghill,
    “A Preliminary Methodology for Model Based Diagnosis”, Proceedings of the 4th International Workshop on the Principles of Diagnosis, pp. 11-31, Aberystwyth, Wales, 1993.
  36. A. Aldea and M.J. Chantler,
    “Tilde: Un sistema diagnostico restruingido”, Proceedings of CAEPIA93, Madrid, 1993 pp424-433.
    Given ‘Best conference paper award’
  37. A. Aldea and M.J. Chantler,
    “The design and use of multiple models for time-constrained hierarchical diagnosis”, Proceedings of Second International Conference on Intelligent Systems Engineering, Hamburg, September 1994, pp280-291.
  38. M.J. Chantler, C.S. Reid and V.J.C. Wright,
    “Probabilistic sensing for underwater robotics”, Proceedings of Second International Conference on Intelligent Systems Engineering, Hamburg, September 1994, pp337-341.
  39. G.M. Coghill and M.J. Chantler,
    “Mycroft: a framework for qualitative reasoning” Proceedings of Second International Conference on Intelligent Systems Engineering, Hamburg, September 1994, pp43-55.
  40. M.J. Chantler, D.B. Lindsay, C.S. Reid and V.J.C. Wright,
    “Optical and Acoustic Range Sensing for Underwater Robotics” Proceedings of Oceans 94, Brest, France, 13-16 September 1994, Vol I, pp205-210.
  41. M.J. Chantler and J.P. Stoner,
    “Robust classification of sector-scan sonar images”, Proceedings of Oceans 94, Brest, France, 13-16 September 1994, Vol II, pp591-596.
  42. M.J. Chantler, G.T. Russell, L.M. Linnett,
    “Illumination : a directional filter of texture ?”, Proceedings of BMVC94, York, September 1994.
  43. E. Chesters, M.J. Chantler, and V.J.C. Wright,
    “The use of high-frequency pencil beam sonar to determine the position of tubular members of underwater structures” Proceedings of Oceans 94, Brest, France, 13-16 September 1994, Vol I, pp199-204.
  44. M.J. Chantler, G. McGunnigle,
    “Compensation of illuminant tilt variation for texture classification”, Proceedings of the Fifth International Conference on ‘Image Processing and its Applications’ Heriot-Watt University, Edinburgh, 3-6 July 1995 pp767-771.
  45. D. Dai, M.J. Chantler, D.M. Lane, and N. Williams,
    “A spatial-temporal approach for segmentation of moving and static objects in sector scan image sequences”, Proceedings of the Fifth International Conference on ‘Image Processing and its Applications’ Heriot-Watt University, Edinburgh, 3-6 July 1995, pp163-167.
  46. N. Williams, D.M. Lane, M.J. Chantler, and D. Dai,
    “Classification of sector-scanning sonar image sequences”, Proceedings of the Fifth International Conference on ‘Image Processing and its Applications’ Heriot-Watt University, Edinburgh, 3-6 July 1995, pp261-265.
  47. M.J. Chantler, Q. Shen, R.R. Leitch, and G. Coghill,
    “On choosing candidate generation and prediction techniques”, DX-95: the sixth international workshop on principle of diagnosis, Goslar, Germany, October 2-4, 1995, pp49-56.
  48. R.R. Leitch, G. Coghill, Q. Shen, M.J. Chantler, and M. Ravindranathan,
    “Choices for the constriction of appropriate models”, IEE Colloquium “Physical modelling as a basis for control”, London, February 1996, Digest 96/042, pp2/1-2/6.
  49. M.J. Chantler, S. Daus, T. Vikatos and G.M. Coghill,
    “The use of quantitative dynamic models and dependency recording for diagnosis”, Working Papers: Seventh International Workshop on the Principles of Diagnosis, DX-96, Val Morin, Quebec, Canada, October 13-16, 1996, pp 59-68.
  50. M. Umasuthan, J. Clark and, M.J. Chantler,
    “Workspace sensing by fusion of optical and acoustic range data for underwater robotics”, Presented at the 2nd World Automation Congress, Montpellier, May 27th – 1st June 1996. Vol 6, pp627-634.
  51. G. Coghill, M.J. Chantler, Q. Shen, R.R. Leitch,
    “Towards model switching for diagnosis”, IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes – SAFEPROCESS’97, Universtity of Hull, Aug. 26-28, 1997, pp564-570.
  52. G. Katsillis and M.J. Chantler,
    “Model partitioning for model-based diagnosis”, IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes – SAFEPROCESS’97, Universtity of Hull, Aug. 26-28, 1997, pp849-854.
  53. G. Katsillis and M.J. Chantler,
    “Can dependency-based diagnosis cope with simultaneous equations?”, Eighth International Workshop on the Principles of Diagnosis, DX-97, Mont Saint Michel, France, September 15-18, 1997, pp51-59.
  54. T. Kayser, M.J. Chantler, J.A. Gravklev, M. Gallanti and R. Ritala,
    “Process industry diagnostic experiments (PRIDE)”, ESPRIT European conference on Integration in Manufacturing (IiM), Dresden, 24-26 September 1997.
  55. G. Mcgunningle, M.J. Chantler,
    “A model-based technique for the classification of textured surfaces with illuminant direction invariance”, Proceedings of BMVC97, Essex, October 1997, pp470- 479.
  56. J.M. Bell, M.J. Chantler, T. Wittig,
    “Directional characteristics of sidescan images”, IEE Colloquium, 26th March, 1998, Savoy Place, London.
  57. M.J. Chantler, P. Pogliano, A. Aldea, G. Tornielli, T. Wyatt, A. Jolley,
    “The use of fault recorder data for diagnosing timing and other related faults in electrical transmission networks”, Ninth International Workshop on the Principles of Diagnosis, DX-98, Cape Cod, 23-27 May 1998, pp 151-158.
  58. M.J. Chantler, S. Cermignani, K.W. Mathisen, O. Saarela,
    “Selecting model-based diagnostic solutions”, Ninth International Workshop on the Principles of Diagnosis, DX-98, Cape Cod, 23-27 May 1998, pp6-15.
  59. M.J. Chantler, N. Bonavita, T. Kayser, K.W. Mathisen, O. Saarela,
    “PRIDE: An integrated architecture and toolset for industrial model-based diagnosis”, IEEE conference on Control Applications, 1-4 September 1998.
  60. D.M. Lane, M.J. Chantler, Dong Yong Dai, I.T Ruiz,
    “Tracking and classification of multiple objects in multibeam sector scan sonar image sequences”, Proceedings of 1998 International Symposium on Underwater Technology (Cat. No.98EX101). IEEE. 1998, pp.269-73. New York, NY, USA.
  61. J.M. Bell, T. Wittig, M.J. Chantler,
    “Model-based investigation of the directional characteristics of sidescan sonar”, Proceedings of PSIP’99 Physics in Signal and Image Processing, ENST, Paris, 18-19 January 1999.
  62. M. Chantler,
    “Developing functional specifications for model-based diagnostic applications”, Proceedings of DX’99, Tenth International Workshop on Principles of Diagnosis, Loch Awe, Scotland, 8-11 June 1999, pp36-44.
  63. G. Katsillis, M. Chantler,
    “An analysis of the use of temporal band sequences and interval simulation for diagnosis”, Proceedings of DX’99, Tenth International Workshop on Principles of Diagnosis, Loch Awe, Scotland, 8-11 June 1999, pp109-119.
  64. G. Coghill, Q. Shen, M. Chantler, R.R. Leitch,
    “Towards the use of multiple models for diagnosis of dynamic systems”, Proceedings of DX’99, Tenth International Workshop on Principles of Diagnosis, Loch Awe, Scotland, 8-11 June 1999, pp51-58.
  65. G. Coghill, M. Chantler,
    “Constructive and non-constructive asynchronous qualitative simulation”, Proceedings of QR’99, Thirteenth International Workshop on Qualitative Reasoning, Loch Awe, Scotland, 6-9 June 1999, pp51-62.
  66. D. Sshaich, R. King, U. Keller, M. Chantler,
    “Interval identification – a modelling and design technique for dynamic systems”, Proceedings of QR’99, Thirteenth International Workshop on Qualitative Reasoning, Loch Awe, Scotland, 6-9 June 1999, pp185-192.
  67. G. Katsillis, M. Chantler,
    “Comparing two methods for diagnosis of imprecise dynamic systems”, Proceedings of ECC’99, European Control Conference, Karlsruhe, 31 Aug. – 3 Sept. 1999.
  68. M. Chantler, P. Pogliano, A. Aldea, G. Tornielli, T. Wyatt, & A. Jolley,
    “Diagnosing faults in electrical transmission networks”, Proceedings of ECC’99, European Control Conference, Karlsruhe, 31 Aug. – 3 Sept.
  69. M.J. Chantler and G. McGunnigle
    “The response of texture features to illuminant rotation”
    ICPR 2000, 15th International Conference on Pattern Recognition, Barcelona, 3-8 September 2000, pp 955-958.
  70. M.J. Chantler and G. McGunnigle
    “On the use of gradient-space eigenvalues for rotation invariant texture classification”
    ICPR 2000, 15th International Conference on Pattern Recognition, Barcelona, 3-8 September 2000, pp 943-946.
  71. M.J. Chantler, G. McGunnigle and J. Wu
    “Surface rotation invariant texture classification using photometric stereo and surface magnitude spectra”
    BMVC2000, British Machine Vision Conference, 11-14 September, Bristol, Vol. 2, pp486-487.
  72. Invited conference papers

  73. A. Aldea and M.J. Chantler,
    “Time limited model based diagnosis”, IEE Colloquium “Real time knowledge based systems”, London, November 1992, Digest 1992/217. pp6/1-6/3.
  74. M.J. Chantler,
    “Towards illuminant invariant texture classification”, IEE Colloquium on Texture Classification : Theory and Applications, London, 7th October 1994, Digest 1994/178, pp6/1-6/3.
  75. A. Aldea and M.J. Chantler,
    “Scheduling for time-constrained model-based diagnosis”, IEE Colloquium “Real time knowledge based systems”, London, January 1995, Digest 1995/020, pp2/1-2/4.
  76. M.J. Chantler, R.R. Leitch, Q. Shen and G. Coghill,
    “A methodology for the development of model-based diagnostic systems” ,IEE Colloquium “Real time knowledge based systems”, London, January 1995, Digest 1995/020, pp5/1-5/3.
  77. D.M. Lane, M.J. Chantler, D. Dai, and N. Williams,
    “Motion estimation and tracking of multiple objects in sector-scan sonar using optical flow”, IEE colloquium “Automomous underwater vehicles and their systems – recent developments and future prospects. IEE digest, 1 May, 1996.
  78. M.J. Chantler,
    “Building model-based diagnostic applications”, IEE colloquium “Applications of model based reasoning” IEE digest, 27 November, 1997.
  79. M.J. Chantler,
    “Building & selecting model-based diagnostic solutions”, Kenote presentation, IQ2FD workshop, Budapest, May 14-16 1998. 

    Presentations (invited)

  80. “Subsea robotics”,
    Observatory, Edinburgh, November, 1988.
  81. “Light: a directional filter of image texture ?”,
    BMVA meeting, Heriot-Watt University, 17th May, 1995.
  82. “AI technologies for fault Isolation”,
    TEMPUS tutorial on Quantitative Fault Diagnosis, Miskolc, Hungary, 8th-10th June 1995.
  83. “Light: a directional filter of image texture ?”,
    Oxford University, 10th October, 1995.
  84. “A methodology for model-based diagnosis”,
    Hartburg-Hamburg University, 14th December, 1995.
  85. “What can systems theory offer DX?”,
    Eighth International Workshop on the Principles of Diagnosis, DX-97, Mont Saint Michel, France, September 15-18, 1997. 

    Research memorandum

  86. C. St.J. Reid and M.J. Chantler,
    “Calibration and correlation of video and ultrasound sensors in an underwater environment”, Report RM/89/2, Dept. Computing & Electrical Engineering, 1989.
  87. J.P. Stoner and M.J. Chantler,
    “Consistency maintenance for the distributed problem solver”, Report RM/89/6, Dept. Computing & Electrical Engineering, 1989.
  88. C. St.J. Reid and M.J. Chantler,
    “High-frequency sonar data as a basis for intensity image segmentation”, Report RM/90/2, Dept. Computing & Electrical Engineering, 1990.
  89. A. Aldea and M.J. Chantler,
    “Model-based diagnostic systems”, Report RM/91/2, Dept. Computing & Electrical Engineering, 1991.
  90. A. Aldea and M.J. Chantler,
    “Time-Limited Diagnostic Environment : TILDE”, Report RM/91/24, Dept. Computing & Electrical Engineering, 1991.
  91. M.J. Chantler,
    “Texture analysis of underwater video images”, Report RM/91/25, Dept. Computing & Electrical Engineering, 1991.
  92. A. Aldea and M.J. Chantler,
    “Scheduling algorithms for time-limited diagnosis”, Report RM/92/5, Dept. Computing & Electrical Engineering, 1992.
  93. M.J. Chantler,
    “Fractal characteristics of rendered fractal surfaces”, Report RM/92/8, Dept. Computing & Electrical Engineering, 1992.
  94. M.J. Chantler,
    “Image models and feature measures for topological textures”, Report RM/93/1, Dept. Computing & Electrical Engineering, 1993.
  95. M.J. Chantler,
    “Integration framework for Qualitative and Quantitative Model-Based Diagnosis, Part I, Proposals for the problem and solution space taxonomies” Research Memorandum RM/98/6, Department of Computing & Electrical Engineering, Heriot-Watt University, September 1998.

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