Gerhard X. Ritter

发表

An efficient algorithm for image-template product on SIMD mesh connected computers

Joseph N. Wilson, Hongchi Shi, Gerhard X. Ritter, 1993, Proceedings of International Conference on Application Specific Array Processors (ASAP '93).

Lattice algebra approach to neural computation

Gerhard X. Ritter, Laurentiu Iancu, G. Ritter, 2005 .

Connected Component Algorithms

Joseph N. Wilson, Gerhard X. Ritter, 2000 .

Analysis of error in measuring laryngeal size parameters from compressed imagery

Gerhard X. Ritter, Christine Sapienza, Yaser Al-Natour, 2000, SPIE Optics + Photonics.

A New Auto-associative Memory Based on Lattice Algebra

Gerhard X. Ritter, Laurentiu Iancu, Mark S. Schmalz, 2004, CIARP.

The p-Product and Its Applications in Signal Processing

Gerhard X. Ritter, Huixia Zhu, 1995, SIAM J. Matrix Anal. Appl..

Morphological perceptrons

Gerhard X. Ritter, Thad W. Beaver, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Software requirements and support for image-algebraic analysis, detection, and recognition of small targets

Gerhard X. Ritter, James F. Davis, Wen-Chen Hu, 1995, Defense, Security, and Sensing.

On Integer Programming Approaches for Morphological Template Decomposition Problems in Computer Vision

Panos M. Pardalos, Peter Sussner, Gerhard X. Ritter, 1997, J. Comb. Optim..

Performance evaluation of data compression transforms for underwater imaging and object recognition

Gerhard X. Ritter, Frank M. Caimi, Mark S. Schmalz, 1997, Oceans '97. MTS/IEEE Conference Proceedings.

Grayscale image recall from imperfect inputs with a two layer dendritic lattice associative memory

Gerhard X. Ritter, Gonzalo Urcid, Juan Carlos Valdiviezo-N., 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

Error measures for object-based image compression

Gerhard X. Ritter, Mark S. Schmalz, G. Ritter, 2005, SPIE Optics + Photonics.

Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory: Computational Intelligence and Soft Computing Applications (Studies in Computational Intelligence) (Kaburlasos, V.G.; 2006) [book review]

Gerhard X. Ritter, 2007 .

Introduction to the detection of target field structure with data fusion of density and chord information

Gerhard X. Ritter, Mark S. Schmalz, 1996, Defense, Security, and Sensing.

Center-surround filters for the detection of small targets in cluttered multispectral imagery: analysis of errors and filter performance

Gerhard X. Ritter, Wen-Chen Hu, Mark S. Schmalz, 1995, Defense, Security, and Sensing.

Kernel Computation in Morphological Associative Memories for Grayscale Image Recollection

Gerhard X. Ritter, Gonzalo Urcid, G. Ritter, 2003, SIP.

Parallel computation of image compression transformations

Gerhard X. Ritter, Frank M. Caimi, Mark S. Schmalz, 1998, Optics & Photonics.

Decomposition of separable and symmetric convex templates

Gerhard X. Ritter, Dong Li, 1990, Optics & Photonics.

Compressive Underwater Video Camera

Gerhard X. Ritter, Frank M. Caimi, Mark S. Schmalz, 1998 .

Review of Automatic Segmentation Methods of White Matter Lesions on MRI Data

Manuel Graña, Gerhard X. Ritter, Darya Chyzhyk, 2016 .

Unsupervised color image segmentation using a lattice algebra clustering technique

Gerhard X. Ritter, Gonzalo Urcid, G. Ritter, 2011, International Commission for Optics.

Handbook of computer vision algorithms in image algebra

Joseph N. Wilson, Gerhard X. Ritter, G. Ritter, 1996 .

Image Algebra Application To Multisensor And Multidata Image Manipulation

Joseph N. Wilson, J. L. Davidson, Gerhard X. Ritter, 1988, Defense, Security, and Sensing.

Image processing architectures and languages

Gerhard X. Ritter, S. Chen, 1983 .

Morphological associative memories

Peter Sussner, Gerhard X. Ritter, S. JuanLuisDíaz-de-León, 1998, IEEE Trans. Neural Networks.

1993 International Conference on Parallel Processing O(n)-TIME AND O(1og n)-SPACE IMAGE COMPONENT LABELING WITH LOCAL OPERATORS ON SIMD MESH CONNECTED COMPUTERS

Hongchi Shi, Gerhard X. Ritter, 1993 .

The encoding of arbitrary two-dimensional geometric configurations

Gerhard X. Ritter, Stephanie M. Boyles, G. Ritter, 1981, International Journal of Computer & Information Sciences.

A Novel Lattice Associative Memory Based on Dendritic Computing

Manuel Graña, Gerhard X. Ritter, Darya Chyzhyk, 2012, HAIS.

Geometric Image Transformations

Joseph N. Wilson, Gerhard X. Ritter, G. Ritter, 2000 .

Computational Intelligence Based on Lattice Theory

Gerhard X. Ritter, Vassilis G. Kaburlasos, G. Ritter, 2007, Studies in Computational Intelligence.

Fixed Points of Lattice Transforms and Lattice Associative Memories

Paul D. Gader, Gerhard X. Ritter, G. Ritter, 2006 .

Extreme Points of Convex Polytopes Derived from Lattice Autoassociative Memories

Gerhard X. Ritter, Gonzalo Urcid, G. Ritter, 2018, MCPR.

Image Algebra Application to Image Measurement and Feature Extraction

Joseph N. Wilson, J. L. Davidson, Gerhard X. Ritter, 1989, Photonics West - Lasers and Applications in Science and Engineering.

Mapping of image compression transforms to reconfigurable processors: simulation and analysis

Gerhard X. Ritter, Frank M. Caimi, Mark S. Schmalz, 1999, Optics + Photonics.

Algorithms for adaptive nonlinear pattern recognition

Gerhard X. Ritter, Mark S. Schmalz, Eric Hayden, 2011, Optical Engineering + Applications.

Supporting image algebra in the Matlab programming language for compression research

Joseph N. Wilson, Gerhard X. Ritter, Mark S. Schmalz, 2009, Optical Engineering + Applications.

Small-target detection in multispectral imagery with cyclic overlay processing

Gerhard X. Ritter, Wen-Chen Hu, Mark S. Schmalz, 1996, Defense + Commercial Sensing.

Noise tolerant dendritic lattice associative memories

Gerhard X. Ritter, Mark S. Schmalz, Eric Hayden, 2011, Optical Engineering + Applications.

Multivariate data mapping based on dendritic lattice associative memories

Gerhard X. Ritter, Gonzalo Urcid, Rocio Morales-Salgado, 2017, 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

The generalized matrix product and its applications

Gerhard X. Ritter, Huixia Zhu, G. Ritter, 1992, Journal of Mathematical Imaging and Vision.

Image quality measures for performance assessment of compresssion transforms

Gerhard X. Ritter, Frank M. Caimi, Mark S. Schmalz, 1998, Optics & Photonics.

Reconstruction of Patterns from Noisy Inputs Using Morphological Associative Memories

Gerhard X. Ritter, Laurentiu Iancu, Gonzalo Urcid, 2003, Journal of Mathematical Imaging and Vision.

Image Algebra FORTRAN Preprocessor User's Manual

Joseph N. Wilson, Gerhard X. Ritter, D. C. Wilson, 1989 .

Computational complexity of object-based image compression

Gerhard X. Ritter, Mark S. Schmalz, 2005, SPIE Optics + Photonics.

Editorial

Gerhard X. Ritter, 2004, Journal of Mathematical Imaging and Vision.

The encoding of arbitrary surfaces in 3-dimensional space

Gerhard X. Ritter, Julius T. Tou, J. Tou, 1984, Pattern Recognit..

Morphological neural networks

Peter Sussner, Gerhard X. Ritter, 1996 .

Data Compression Of Multispectral Images

Joseph N. Wilson, J. L. Davidson, Gerhard X. Ritter, 1988, Optics & Photonics.

Center-surround filters for the detection of small targets in cluttered multispectral imagery: background and filter design

Gerhard X. Ritter, Wen-Chen Hu, Mark S. Schmalz, 1995, Defense, Security, and Sensing.

Data compression techniques for underwater imagery

Gerhard X. Ritter, Frank M. Caimi, Mark S. Schmalz, 1996, OCEANS 96 MTS/IEEE Conference Proceedings. The Coastal Ocean - Prospects for the 21st Century.

Image retrieval using the longest approximate common subsequences

Gerhard X. Ritter, Wen-Chen Hu, Mark S. Schmalz, 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

Linear Image Transforms

Joseph N. Wilson, Gerhard X. Ritter, 2000 .

Region segmentation techniques for object-based image compression: a review

Gerhard X. Ritter, Mark S. Schmalz, G. Ritter, 2004, SPIE Optics + Photonics.

A hierarchical method of performing global optimizations

Joseph N. Wilson, Gerhard X. Ritter, Laurie Ann White, 1990 .

Gerhard X. Ritter, Gonzalo Urcid, Luis-David Lara-Rodríguez, 2020, Mathematics.

Analysis and Characterization of Pattern Classifiers; GASP - Generator of Adaptive Statistical Pattern Recognition Systems

Gerhard X. Ritter, Mark S. Schmalz, Gary Key, 2003 .

Web document classification using modified decision trees

Gerhard X. Ritter, Kai-Hsiung Chang, Wen-Chen Hu, 2000, ACM-SE 38.

Implementation and use of an image processing algebra for programming massively parallel machines

Joseph N. Wilson, Gerhard X. Ritter, G. R. Fischer, 1988, Proceedings., 2nd Symposium on the Frontiers of Massively Parallel Computation.

Editorial

Gerhard X. Ritter, 2004, Journal of Mathematical Imaging and Vision.

Editorial

Gerhard X. Ritter, 2011, Journal of Mathematical Imaging and Vision.

A Fast Algorithm for Image Component Labeling with Local Operators on Mesh Connected Computers

Hongchi Shi, Gerhard X. Ritter, 1994, J. Parallel Distributed Comput..

EBLAST: efficient high-compression image transformation: I. Background and theory

Gerhard X. Ritter, Frank M. Caimi, Mark S. Schmalz, 1999, Optics + Photonics.

Noise Masking for Pattern Recall Using a Single Lattice Matrix Associative Memory

Gerhard X. Ritter, Gonzalo Urcid, G. Ritter, 2007, Computational Intelligence Based on Lattice Theory.

Lattice Based Dendritic Computing: A Biomimetic Approach to ANNs

Gerhard X. Ritter, Gonzalo Urcid, G. Ritter, 2014, CIARP.

Implementation and Results

Gerhard X. Ritter, Mark S. Schmalz, 2017 .

Single Layer Morphological Perceptron Solution to the N-Bit Parity Problem

Gerhard X. Ritter, Laurentiu Iancu, Gonzalo Urcid, 2004, CIARP.

On Endmember Detection in Hyperspectral Images with Morphological Associative Memories

Bogdan Raducanu, Manuel Graña, Peter Sussner, 2002, IBERAMIA.

Special class of nonlocal image-template operations

Hongchi Shi, Gerhard X. Ritter, 1994, Optics & Photonics.

Orthonormal Basis Lattice Neural Networks

Gerhard X. Ritter, Angelos Barmpoutis, G. Ritter, 2006, 2006 IEEE International Conference on Fuzzy Systems.

EBLAST: an efficient high-compression image transformation 3. application to Internet image and video transmission

Gerhard X. Ritter, Frank M. Caimi, Mark S. Schmalz, 2001, SPIE Optics + Photonics.

Approximating the longest approximate common subsequence problem

Gerhard X. Ritter, Wen-Chen Hu, Mark S. Schmalz, 1998, ACM-SE 36.

COQUINA: content-queryable image and signal archives

Gerhard X. Ritter, Wen-Chen Hu, Mark S. Schmalz, 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

Lattice associative memories that are robust in the presence of noise

Gerhard X. Ritter, Mark S. Schmalz, Gonzalo Urcid-Serrano, 2005, SPIE Optics + Photonics.

Single layer feedforward neural network based on lattice algebra

Gerhard X. Ritter, L. Iancu, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Kernel Computation in Morphological Bidirectional Associative Memories

Gerhard X. Ritter, Laurentiu Iancu, Gonzalo Urcid, 2003, CIARP.

Nonlinear classification of hyperspectral signatures in high noise

Gerhard X. Ritter, Mark S. Schmalz, Eric T. Hayden, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

EBLAST: Efficient high-compression image transformation: II. Implementation and results

Gerhard X. Ritter, Frank M. Caimi, Mark S. Schmalz, 2000, SPIE Optics + Photonics.

Autonomous single-pass endmember approximation using lattice auto-associative memories

Gerhard X. Ritter, Mark S. Schmalz, Gonzalo Urcid, 2009, Neurocomputing.

Massively parallel computation of lattice associative memory classifiers on multicore processors

Gerhard X. Ritter, Mark S. Schmalz, Eric Hayden, 2011, Optical Engineering + Applications.

Learning In Lattice Neural Networks that Employ Dendritic Computing

Gerhard X. Ritter, Mark S. Schmalz, 2006, FUZZ-IEEE.

Associative morphological memories for endmember determination in spectral unmixing

Manuel Graña, Peter Sussner, Gerhard X. Ritter, 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

Recursive operations in image algebra

Gerhard X. Ritter, Dong Li, Dong Li, 1990, Optics & Photonics.

Front Matter: Volume 7075

Jaakko Astola, Junior Barrera, Gerhard X. Ritter, 2008 .

Editorial: The third anniversary of the Journal of Mathematical Imaging and Vision

Gerhard X. Ritter, 2005, Journal of Mathematical Imaging and Vision.

Theory of morphological neural networks

Gerhard X. Ritter, Jennifer L. Davidson, G. Ritter, 1990, Photonics West - Lasers and Applications in Science and Engineering.

Lattice algebra approach to single-neuron computation

Gerhard X. Ritter, Gonzalo Urcid, G. Ritter, 2003, IEEE Trans. Neural Networks.

Editorial

Gerhard X. Ritter, 2004, Journal of Mathematical Imaging and Vision.

Global Optimization Problems in Computer Vision

Panos M. Pardalos, Peter Sussner, Gerhard X. Ritter, 1996 .

Two lattice metrics dendritic computing for pattern recognition

Gerhard X. Ritter, Gonzalo Urcid, Juan Carlos Valdiviezo-N., 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Neurons, Dendrites, and Pattern Classification

Gerhard X. Ritter, Laurentiu Iancu, Gonzalo Urcid, 2003, CIARP.

Image Algebra Techniques for Parallel Image Processing

Paul D. Gader, Gerhard X. Ritter, G. Ritter, 1987, J. Parallel Distributed Comput..

Morphological perceptrons with dendritic structure

Gerhard X. Ritter, Laurentiu Iancu, Gonzalo Urcid, 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

Lattice Algebra Approach to Color Image Segmentation

Gerhard X. Ritter, Gonzalo Urcid, Juan Carlos Valdiviezo-N., 2011, Journal of Mathematical Imaging and Vision.

Learning In Lattice Neural Networks that Employ Dendritic Computing

Gerhard X. Ritter, Gonzalo Urcid, G. Ritter, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Editorial

Gerhard X. Ritter, 2004, Journal of Mathematical Imaging and Vision.

Endmember search techniques based on lattice auto-associative memories: a case on vegetation discrimination

Gerhard X. Ritter, Gonzalo Urcid, Juan Carlos Valdiviezo-N., 2009, Remote Sensing.

Morphological neural networks and image algebra in artificial perception systems

Gerhard X. Ritter, Carmen P. Suarez Araujo, 1992, Optics & Photonics.

Space, time, error, and power optimization of image compression transforms

Gerhard X. Ritter, Frank M. Caimi, Mark S. Schmalz, 2000, SPIE Optics + Photonics.

Image Features And Descriptors

Joseph N. Wilson, Gerhard X. Ritter, 2000 .

International Conference on Parallel Processing O(n)-time and O(1og N)-space Image Component Labeling with Local Operators on Simd Mesh Connected Computers

Hongchi Shi, Gerhard X. Ritter, G. Ritter, 2022 .

Model-based landmine detection algorithms for acoustic/seismic data

Paul D. Gader, James M. Keller, Gerhard X. Ritter, 2003, SPIE Defense + Commercial Sensing.

The state of the Journal of Mathematical Imaging and Vision

Gerhard X. Ritter, 2005, Journal of Mathematical Imaging and Vision.

C-means Clustering of Lattice Auto-Associative Memories for Endmember Approximation

Gerhard X. Ritter, Gonzalo Urcid, 2012, KES.

Cellular topology and its applications in image processing

Gerhard X. Ritter, Lawrence A. Ankeney, 2004, International Journal of Computer & Information Sciences.

Compressive Underwater Video Camera (CUVC)

Gerhard X. Ritter, Frank M. Caimi, Mark S. Schmalz, 1997 .

On the processing of compressed and encrypted signals and imagery, with applications in efficient, secure computation

Gerhard X. Ritter, Mark S. Schmalz, 1996 .

PATTERN MATCHING AND SHAPE DETECTION

Joseph N. Wilson, Gerhard X. Ritter, G. Ritter, 2000 .

Image Processing Language Development.

Gerhard X. Ritter, 1987 .

Limits on computational precision of image compression transformations

Gerhard X. Ritter, Frank M. Caimi, Mark S. Schmalz, 1998, Optics & Photonics.

Editorial

Gerhard X. Ritter, 2004, Journal of Mathematical Imaging and Vision.

Detection and Characterization of Motion in Video Compression

Gerhard X. Ritter, Mark S. Schmalz, G. Ritter, 2003, SPIE Optics + Photonics.

The Image Algebra C++ Library

Joseph N. Wilson, Gerhard X. Ritter, 2000 .

Structural description of images using image algebra

Hongchi Shi, Gerhard X. Ritter, 1992, Optics & Photonics.

A line string image representation for image storage and retrieval

Gerhard X. Ritter, Wen-Chen Hu, 1997, Proceedings of IEEE International Conference on Multimedia Computing and Systems.

Decomposition of Gray-Scale Morphological Templates Using the Rank Method

Peter Sussner, Gerhard X. Ritter, G. Ritter, 1997, IEEE Trans. Pattern Anal. Mach. Intell..

An introduction to morphological neural networks

Peter Sussner, Gerhard X. Ritter, G. Ritter, 1996, Proceedings of 13th International Conference on Pattern Recognition.

The generalized matrix product and the wavelet transform

Gerhard X. Ritter, Huixia Zhu, G. Ritter, 1993, Journal of Mathematical Imaging and Vision.

An Overview of World Wide Web Search Technologies

Gerhard X. Ritter, Wen-Chen Hu, Mark S. Schmalz, 2001 .

Boundary representation techniques for object-based image compression

Gerhard X. Ritter, Mark S. Schmalz, G. Ritter, 2004, SPIE Optics + Photonics.

PATTERN MATCHING AND SHAPE DETECTION

Joseph N. Wilson, Gerhard X. Ritter, G. Ritter, 2000 .

EFFICIENT AUTONOMOUS ENDMEMBER DETERMINATION USING LATTICE AUTO-ASSOCIATIVE MEMORIES

Gerhard X. Ritter, Mark S. Schmalz, Gonzalo Urcid, 2007 .

Innovative applications of associative morphological memories for image processing and pattern recognition

Manuel Graña, Peter Sussner, Gerhard X. Ritter, 2003 .

Minimax eigenvalue transform

Peter Sussner, Gerhard X. Ritter, 1992, Optics & Photonics.

Morphological bidirectional associative memories

Peter Sussner, Gerhard X. Ritter, S. JuanLuisDíaz-de-León, 1999, Neural Networks.

Image-algebraic design of multispectral target recognition algorithms

Gerhard X. Ritter, Mark S. Schmalz, G. Ritter, 1994, Optics & Photonics.

Neural Networks and Cellular Automata

Joseph N. Wilson, Gerhard X. Ritter, G. Ritter, 2000 .

Editorial

Gerhard X. Ritter, Gerhard X. Ritter, 2005, Journal of Mathematical Imaging and Vision.

Lattice Neural Networks with Spike Trains

Gerhard X. Ritter, Gonzalo Urcid, 2010, HAIS.

Image Algebra Synthesis

Joseph N. Wilson, Gerhard X. Ritter, Jennifer L. Davidson, 1989 .

Image Algebra Matlab language version 2.3 for image processing and compression research

Gerhard X. Ritter, Mark S. Schmalz, Eric Hayden, 2010, Optical Engineering + Applications.

Functional Specification Of Neighborhoods In An Image Processing Language

Joseph N. Wilson, Gerhard X. Ritter, 1987, Other Conferences.

Image component labeling using local operators

Hongchi Shi, Gerhard X. Ritter, 1993, Optics & Photonics.

Visual-tracking-based robot vision system

Joseph N. Wilson, Gerhard X. Ritter, Keqiang Deng, 1992, Other Conferences.

Beyond Mathematical Morphology

Joseph N. Wilson, J. L. Davidson, Gerhard X. Ritter, 1987, Other Conferences.

An autonomousendmember detection technique based on lattice associative memories and statistical clustering

Gerhard X. Ritter, Gonzalo Urcid, Nieves-V. Jose Angel, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Dendritic lattice associative memories for pattern classification

Gerhard X. Ritter, Gonzalo Urcid, Juan Carlos Valdiviezo-N., 2012, 2012 Fourth World Congress on Nature and Biologically Inspired Computing (NaBIC).

APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED

Joseph N. Wilson, Gerhard X. Ritter, Jennifer L Davidson, 1989 .

Fast Fourier Transform for Hexagonal Aggregates

Gerhard X. Ritter, Jaime L. Zapata, 2004, Journal of Mathematical Imaging and Vision.

Efficient imaging with integrated optoelectronics: II. Massively parallel analog vision chip

Joseph N. Wilson, Gerhard X. Ritter, Mark S. Schmalz, 1998, Other Conferences.

Parallel Image Processing with Image Algebra on SIMD Mesh-Connected Computers

Joseph N. Wilson, Hongchi Shi, Gerhard X. Ritter, 1994 .

A simple statistics-based nearest neighbor cluster detection algorithm

Gerhard X. Ritter, Gonzalo Urcid, José Angel Nieves-Vazquez, 2015, Pattern Recognit..

Editorial

Gerhard X. Ritter, 2004, Journal of Mathematical Imaging and Vision.

Efficient imaging with integrated optoelectronics: I. Overview and some applications

Joseph N. Wilson, Gerhard X. Ritter, James G. Fleming, 1998, Other Conferences.

Rank-based decompositions of morphological templates

Peter Sussner, Gerhard X. Ritter, 2000, IEEE Trans. Image Process..

Orthonormal Basis Lattice Neural Networks

Gerhard X. Ritter, Angelos Barmpoutis, 2006, FUZZ-IEEE.

Analysis Of Variance: A Statistical Approach To Pattern Recognition And Motion Detection

Jamil Ahmad, Gerhard X. Ritter, 1984, Optics & Photonics.

A fast general algorithm for extracting image features on SIMD mesh-connected computers

Joseph N. Wilson, Hongchi Shi, Gerhard X. Ritter, 1997, Pattern Recognit..

Minimal Representations and Morphological Associative Memories for Pattern Recall

Gerhard X. Ritter, Gonzalo Urcid, 2002 .

A lattice matrix method for hyperspectral image unmixing

Gerhard X. Ritter, Gonzalo Urcid, G. Ritter, 2011, Inf. Sci..

Perfect recall from noisy input patterns with a dendritic lattice associative memory

Gerhard X. Ritter, Gonzalo Urcid, G. Ritter, 2011, The 2011 International Joint Conference on Neural Networks.

Guest Editorial: Special Section on Advances in Mathematical Imaging

Hongchi Shi, Gerhard X. Ritter, 1997, J. Electronic Imaging.

Performance analysis of compression algorithms for noisy multispectral underwater images of small targets

Gerhard X. Ritter, Frank M. Caimi, Mark S. Schmalz, 1997, Defense, Security, and Sensing.

Local analysis of distortion and ATR error associated with decompressed digital imagery

Gerhard X. Ritter, Frank M. Caimi, Mark S. Schmalz, 2001, SPIE Optics + Photonics.

Lattice Associative Memories for Segmenting Color Images in Different Color Spaces

Gerhard X. Ritter, Gonzalo Urcid, Juan Carlos Valdiviezo-N., 2010, HAIS.

Image algebra techniques for parallel image processing

Paul D. Gader, Gerhard X. Ritter, G. Ritter, 1987 .

Heterogeneous matrix products

Gerhard X. Ritter, 1991, Optics & Photonics.

Associative memories based on lattice algebra

Peter Sussner, Gerhard X. Ritter, 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

A new parallel binary image shrinking algorithm

Hongchi Shi, Gerhard X. Ritter, 1995, IEEE Trans. Image Process..

Simulations Between Two Reconfigurable Mesh Models

Joseph N. Wilson, Hongchi Shi, Gerhard X. Ritter, 1995, Inf. Process. Lett..

TOPOLOGY OF COMPUTER VISION

Gerhard X. Ritter, G. Ritter, 1987 .

Noise Masking for Pattern Recall Using a Single Lattice Matrix Auto-Associative Memory

Gerhard X. Ritter, Gonzalo Urcid, G. Ritter, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Pertinent Properties of Euclidean Space

Gerhard X. Ritter, Gonzalo Urcid, 2021, Introduction to Lattice Algebra.

Extreme Points of Data Sets

Gerhard X. Ritter, Gonzalo Urcid, 2021, Introduction to Lattice Algebra.