Image Processing using Pulse-Coupled Neural Networks

From the Publisher: PCNN's represent a new advance in imaging technology, allowing images to be refined to levels well beyond that of the original. This volume provides an introduction to the topic by reviewing the theoretical foundations as well as a number of image processing applications, including segmentation, edge extraction, texture extraction, object identification, object isolation, motion processing, noise suppression, and image fusion. This is the first book to cover PCNN technology, an area which will have many applications in medical, military and industrial imaging.

[1]  T. Kanade,et al.  Color information for region segmentation , 1980 .

[2]  B V Kumar,et al.  Tutorial survey of composite filter designs for optical correlators. , 1992, Applied optics.

[3]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[4]  Lutz Priese,et al.  On hierarchical color segmentation and applications , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[5]  Puragra Guhathakurta,et al.  A catalog of digital images of 113 nearby galaxies , 1996 .

[6]  James A. Sethian,et al.  Level Set Methods for Curvature Flow, Image Enchancement, and Shape Recovery in Medical Images , 1997, VisMath.

[7]  John L. Johnson,et al.  Stabilized input with a feedback pulse‐coupled neural network , 1996 .

[8]  Jason M. Kinser,et al.  Image object signatures from centripetal autowaves , 2000, Pattern Recognit. Lett..

[9]  O. A. Mornev.  Elements of the “Optics” of Autowaves , 1984 .

[10]  John L. Johnson,et al.  Guest Editorial Overview Of Pulse Coupled Neural Network (PCNN) Special Issue , 1999, IEEE Trans. Neural Networks.

[11]  Pascal Fua,et al.  Computational strategies for object recognition , 1992, CSUR.

[12]  Bernard Besserer,et al.  Multiple knowledge sources and evidential reasoning for shape recognition , 1993, 1993 (4th) International Conference on Computer Vision.

[13]  M. Grayson.  The heat equation shrinks embedded plane curves to round points , 1987 .

[14]  Reinhard Eckhorn,et al.  Feature Linking via Synchronization among Distributed Assemblies: Simulations of Results from Cat Visual Cortex , 1990, Neural Computation.

[15]  Lance M. Optican,et al.  Temporal Codes for Colors, Patterns, and Memories , 1994 .

[16]  Tien-Hsin Chao,et al.  Acousto-optic tunable filter multispectral imaging system , 1992 .

[17]  Gérard G. Medioni,et al.  Structural Indexing: Efficient 3-D Object Recognition , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  G. Healey,et al.  Global color constancy: recognition of objects by use of illumination-invariant properties of color distributions , 1994 .

[19]  James F. Boyce,et al.  Co-occurrence matrices for image analysis , 1993 .

[20]  Kenneth C. Freeman,et al.  The Intrinsic Flattening of e, so, and Spiral Galaxies as Related to Galaxy Formation and Evolution , 1970 .

[21]  M. Campani,et al.  Robust road sign detection and recognition from image sequences , 1994, Proceedings of the Intelligent Vehicles '94 Symposium.

[22]  Aaron F. Bobick,et al.  Recognition and interpretation of parametric gesture , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[23]  H.C.S. Rughooputh,et al.  Automatic inspection of road surfaces , 2000, Electronic Imaging.

[24]  M. S. Roberts,et al.  Physical Parameters Along the Hubble Sequence , 1994 .

[25]  Robert Forchheimer,et al.  MAPP2200: a second-generation smart optical sensor , 1992, Electronic Imaging.

[26]  Jeffrey Mark Siskind,et al.  A Maximum-Likelihood Approach to Visual Event Classification , 1996, ECCV.

[27]  Hidehiko Akatsuka,et al.  Road Signposts Recognition System , 1987 .

[28]  G. Johansson.  Visual perception of biological motion and a model for its analysis , 1973 .

[29]  Haim J. Wolfson,et al.  An improved model-based matching method using footprints , 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

[30]  Abderrahim Labbi,et al.  A Network of FitzHugh-Nagumo Oscillators for Object Segmentation , 1997 .

[31]  Tosiyasu L. Kunii,et al.  Model-based analysis of hand posture , 1995, IEEE Computer Graphics and Applications.

[32]  Marie de Saint Blancard,et al.  Road sign recognition: a study of vision-based decision making for road environment recognition , 1992 .

[33]  R. FitzHugh.  Impulses and Physiological States in Theoretical Models of Nerve Membrane. , 1961, Biophysical journal.

[34]  A. Hodgkin,et al.  A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.

[35]  Yehezkel Lamdan,et al.  Geometric Hashing: A General And Efficient Model-based Recognition Scheme , 1988, [1988 Proceedings] Second International Conference on Computer Vision.

[36]  S. Yoshizawa,et al.  An Active Pulse Transmission Line Simulating Nerve Axon , 1962, Proceedings of the IRE.

[37]  William T. Freeman,et al.  Television control by hand gestures , 1994 .

[38]  Duc Truong Pham.  Neural Networks In Engineering , 1970 .

[39]  Geoffrey E. Hinton,et al.  Glove-Talk: a neural network interface between a data-glove and a speech synthesizer , 1993, IEEE Trans. Neural Networks.

[40]  W. Gerstner,et al.  Time structure of the activity in neural network models. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[41]  Jason M. Kinser.  Hardware: basic requirements for implementation , 1999, Other Conferences.

[42]  Anil K. Jain,et al.  Object contour extraction using color and motion , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[43]  Mark S. Nixon,et al.  Novel Techniques for Image Texture Classification , 1995 .

[44]  J B Arens,et al.  COLOR RECOGNITION OF RETROREFLECTIVE TRAFFIC SIGNS UNDER VARIOUS LIGHTING CONDITIONS , 1991 .

[45]  Jason M. Kinser,et al.  Pulse-coupled image fusion , 1997 .

[46]  S. Strogatz,et al.  Synchronization of pulse-coupled biological oscillators , 1990 .

[47]  K. Laws.  Textured Image Segmentation , 1980 .

[48]  Michael J. Swain,et al.  Indexing via color histograms , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[49]  R. Zinn,et al.  Compositions of halo clusters and the formation of the galactic halo , 1978 .

[50]  Thierry Carron,et al.  Color edge detector using jointly hue, saturation and intensity , 1994, Proceedings of 1st International Conference on Image Processing.

[51]  Keith Price,et al.  Picture Segmentation Using a Recursive Region Splitting Method , 1998 .

[52]  John Moody,et al.  Fast Learning in Networks of Locally-Tuned Processing Units , 1989, Neural Computation.

[53]  Mark S. Nixon,et al.  Statistical geometrical features for texture classification , 1995, Pattern Recognit..

[54]  S. van den Bergh.  LUMINOSITY CLASSIFICATION OF GALAXIES IN THE REVISED SHAPLEY-AMES CATALOG , 1982 .

[55]  K.-F. Kraiss,et al.  A Connectionist Traffic Sign Recognition System for Onboard Driver Information , 1992 .

[56]  T. Tomikawa,et al.  A study of road crack detection by the meta-genetic algorithm , 1999, 1999 IEEE Africon. 5th Africon Conference in Africa (Cat. No.99CH36342).

[57]  Ilya A. Rybak,et al.  The model of a neural network visual preprocessor , 1992, Neurocomputing.

[58]  Helge J. Ritter,et al.  Visual gesture-based robot guidance with a modular neural system , 1995, NIPS.

[59]  Alex Pentland,et al.  Task-Specific Gesture Analysis in Real-Time Using Interpolated Views , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[60]  D. L. Kellmeyer,et al.  Detection of highway warning signs in natural video images using color image processing and neural networks , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[61]  Brian V. Funt,et al.  Color Constant Color Indexing , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[62]  H.C.S. Rughooputh,et al.  Classification of optical galaxies using a PCNN , 2000, Electronic Imaging.

[63]  Shoji Tominaga.  A color classification method for color images using a uniform color space , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

[64]  Charles L. Wyman,et al.  Spiral image fusion: a 30 parallel channel case , 1998 .

[65]  L Hawker.  THE INTRODUCTION OF ECONOMIC ASSESSMENT TO PAVEMENT MAINTENANCE MANAGEMENT DECISIONS IN THE UNITED KINGDOM USING PRIVATE FINANCE , 1997 .

[66]  J. L. Johnson.  Pulse-coupled neural nets: translation, rotation, scale, distortion, and intensity signal invariance for images. , 1994, Applied optics.

[67]  Dong-Chen He,et al.  Texture features based on texture spectrum , 1991, Pattern Recognit..

[68]  H. G. Corwin,et al.  Mean Morphological Types of Bright Galaxies , 1994 .