Publications


  • B. Smock and J. Wilson, “A comprehensive, graph-theoretic formalization of cas- cading via-paths and reciprocal pointer chains,” Journal of Graph Algorithms and Applications, submitted.
  • C. E. Grant, C. Pazhayidam George, V. Kanjilal, S. Nirkhiwale, J. N. Wilson, and D. Z. Wang, “A topic-based search, visualization, and exploration system,” in The Twenty-Eighth International Flairs Conference, 2015.
  • R. Close, P. Gader, and J. Wilson, “Hyperspectral unmixing using macroscopic and microscopic mixture models,” Journal of Applied Remote Sensing, vol. 8, no. 1, pp. 083 642–083 642, 2014.
  • C. Pazhayidam George, S. Puri, D. Z. Wang, J. N. Wilson, and W. F. Hamil- ton, “Smart electronic legal discovery via topic modeling,” in The Twenty-Seventh International Flairs Conference, 2014.
  • B. Smock, J. Wilson, and T. Glenn, “A hybrid approach to the fusion of partially- coinciding alarms from asynchronous or specialized detectors,” in SPIE Defense+ Security. International Society for Optics and Photonics, 2014, pp. 90911D– 90 911D.
  • T. Glenn, B. Smock, J. Wilson, and P. Gader, “A run packing technique for multiple sensor fusion,” in SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2013, pp. 87 091K–87 091K.
  • P. J. Dobbins, J. N. Wilson, and J. Bolton, “Sweep detection and alignment in hand- held gpr detection devices,” in SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2013, pp. 87 091G–87 091G.
  • B. Smock, T. Glenn, and J. Wilson, “University of florida, computer and informa- tion science and engineering department, po box 116120, cse rm 301, gainesville, 32611, usa,” in Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International. IEEE, 2013, pp. 4395–4398.
  • S. E. Yuksel, J. N. Wilson, and P. D. Gader, “Twenty years of mixture of experts,” Neural Networks and Learning Systems, IEEE Transactions on, vol. 23, no. 8, pp. 1177–1193, 2012.
  • H. Frigui, L. Zhang, P. Gader, J. N. Wilson, K. Ho, and A. Mendez-Vazquez, “An evaluation of several fusion algorithms for anti-tank landmine detection and discrimination,” Information Fusion, vol. 13, no. 2, pp. 161–174, 2012.
  • R. Close, P. Gader, J. Wilson, and A. Zare, “Using physics-based macroscopic and microscopic mixture models for hyperspectral pixel unmixing,” in SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2012, pp. 83 901L–83 901L.
  • B. Smock and J. Wilson, “Efficient multiple layer boundary detection in ground- penetrating radar data using an extended viterbi algorithm,” in SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2012, pp. 83 571X–83 571X.
  • J. Wood, J. Wilson, and J. Bolton, “Extracting edge histogram detector features from ground penetrating radar data without ground alignment,” in SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2012, pp. 83 571W–83 571W.
  • R. Close, P. Gader, A. Zare, J. Wilson, and D. Dranishnikov, “Endmember extraction using the physics-based multi-mixture pixel model,” in SPIE Optical Engineering+ Applications. International Society for Optics and Photonics, 2012, pp. 85 150L– 85 150L.
  • S. Goldberg, T. Glenn, J. N. Wilson, and P. D. Gader, “Landmine detection using two- tapped joint orthogonal matching pursuits,” in SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2012, pp. 83 570B–83 570B.
  • B. Smock and J. Wilson, “Reciprocal pointer chains for identifying layer boundaries in ground-penetrating radar data,” in Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International. IEEE, 2012, pp. 602–605.
  • P. D. Gader, J. N. Wilson, and J. Bolton, “Feature-based methods for landmine detection with ground penetrating radar,” DTIC Document, Tech. Rep., 2012.
  • C. P. George, D. Z. Wang, J. N. Wilson, L. M. Epstein, P. Garland, and A. Suh, “A machine learning based topic exploration and categorization on surveys,” in Machine Learning and Applications (ICMLA), 2012 11th International Conference on, vol. 2. IEEE, 2012, pp. 7–12.
  • B. Smock, P. Gader, and J. Wilson, “Dynamax+ ground-tracking algorithm,” in SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2011, pp. 80 171I–80 171I.
  • J. Wood and J. Wilson, “Support vector data description for detecting the air- ground interface in ground penetrating radar signals,” in SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2011, pp. 80 171J– 80 171J.
  • N. I. Rummelt and J. N. Wilson, “Array set addressing: enabling technology for the efficient processing of hexagonally sampled imagery,” Journal of Electronic Imaging, vol. 20, no. 2, pp. 023 012–023 012, 2011.
  • C. P. George, T. C. Glenn, C. Fuentes, V. Gopal, G. Casella, J. Wilson, and P. Gader, “Topic learning and inference using dirichlet allocation product partition models and hybrid metropolis search,” Technical Report 520, University of Florida, Tech. Rep., 2011.
  • R. Close, K. Watford, T. Glenn, P. Gader, and J. Wilson, “Using predictive distri- butions to estimate uncertainty in classifying landmine targets,” in SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2011, pp. 801 724–801 724.
  • C. E. Grant, C. P. George, C. Jenneisch, and J. N. Wilson, “Online topic modeling for real-time twitter search.” in TREC, 2011.
  • R. Close, J. Wilson, and P. Gader, “A bayesian approach to localized multi-kernel learning using the relevance vector machine,” in Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International. IEEE, 2011, pp. 1103–1106.
  • J. Wood, J. Bolton, G. Casella, L. Collins, P. Gader, T. Glenn, J. Ho, W. Lee, R. Mueller, B. Smock et al., “Comparison of algorithms for finding the air-ground interface in ground penetrating radar signals,” in SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2011, pp. 80171L– 80 171L.
  • J. N. Wilson and G. X. Ritter, Handbook of computer vision algorithms in image algebra, 3rd ed. CRC press, 2010.
  • G. Ramachandran, P. D. Gader, and J. N. Wilson, “Granma: Gradient angle model algorithm on wideband emi data for land-mine detection,” Geoscience and Remote Sensing Letters, IEEE, vol. 7, no. 3, pp. 535–539, 2010.
  • C. Grant, C. P. George, J.-d. Gumbs, J. N. Wilson, and P. J. Dobbins, “Morpheus: a deep web question answering system,” in Proceedings of the 12th International Con- ference on Information Integration and Web-based Applications & Services. ACM, 2010, pp. 841–844.
  • N. I. Rummelt and J. N. Wilson, “Array set addressing: making the world safe for hexagonal imaging,” in IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, 2010, pp. 75 320D–75 320D.
  • T. C. Glenn, J. N. Wilson, and K. Ho, “A multimodal matching pursuits dissimilarity measure applied to landmine/clutter discrimination,” in Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International. IEEE, 2010, pp. 4200– 4203.
  • K. Ho, P. Gader, J. Wilson, and H. Frigui, “On improving subspace spectral feature technique for the detection of weak scattering plastic antitank landmines,” in SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2009, pp. 73 032D–73 032D.
  • R. Mazhar, P. D. Gader, and J. N. Wilson, “Matching-pursuits dissimilarity measure for shape-based comparison and classification of high-dimensional data,” Fuzzy Systems, IEEE Transactions on, vol. 17, no. 5, pp. 1175–1188, 2009.
  • J. Wilson, G. Ramachandran, P. Gader, B. Smock, and W. Scott, “Wideband emi pre-screening for landmine detection,” in SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2009, pp. 730 324–730 324.
  • M. S. Schmalz, G. X. Ritter, J. N. Wilson, and E. T. Hayden, “Supporting image algebra in the matlab programming language for compression research,” in SPIE Optical Engineering+ Applications. International Society for Optics and Photonics, 2009, pp. 744 404–744 404.
  • K. Ho, L. Carin, P. D. Gader, and J. N. Wilson, “An investigation of using the spectral characteristics from ground penetrating radar for landmine/clutter discrimination,” Geoscience and Remote Sensing, IEEE Transactions on, vol. 46, no. 4, pp. 1177– 1191, 2008.
  • R. Mazhar, P. D. Gader, and J. N. Wilson, “A matching pursuit based similarity measure for fuzzy clustering and classification of signals,” in Fuzzy Systems, 2008. FUZZ-IEEE 2008.(IEEE World Congress on Computational Intelligence). IEEE In- ternational Conference on. IEEE, 2008, pp. 1950–1955.
  • S. E. Yuksel, G. Ramachandran, P. Gader, J. Wilson, D. Ho, and G. Heo, “Hierarchical methods for landmine detection with wideband electro-magnetic induction and ground penetrating radar multi-sensor systems,” in Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International, vol. 2. IEEE, 2008, pp. II–177.
  • J. Bolton, P. Gader, and J. N. Wilson, “Discrete choquet integral as a distance metric,” Fuzzy Systems, IEEE Transactions on, vol. 16, no. 4, pp. 1107–1110, 2008.
  • J. Wilson, “Use of rank-based decision level fusion in landmine discrimination,” in SPIE Defense and Security Symposium. International Society for Optics and Photonics, 2008, pp. 69 531E–69 531E.
  • G. Heo et al., “Hierarchical methods for landmine detection with wideband electro- magnetic induction and ground penetrating radar multi-sensor systems,” IGARSS 2008-2008 IEEE International Geoscience and Remote Sensing Symposium, vol. 2, 2008.
  • K. Ho, J. N. Wilson, and P. D. Gader, “On the use of aggregation operator for humanitarian demining using hand-held gpr,” in Fuzzy Systems, 2008. FUZZ-IEEE 2008.(IEEE World Congress on Computational Intelligence). IEEE International Conference on. IEEE, 2008, pp. 2103–2108.
  • J. N. Wilson, P. Gader, W.-H. Lee, H. Frigui, and K. Ho, “A large-scale systematic evaluation of algorithms using ground-penetrating radar for landmine detection and discrimination,” Geoscience and Remote Sensing, IEEE Transactions on, vol. 45, no. 8, pp. 2560–2572, 2007.
  • W.-H. Lee, P. D. Gader, and J. N. Wilson, “Optimizing the area under a receiver operating characteristic curve with application to landmine detection,” Geoscience and Remote Sensing, IEEE Transactions on, vol. 45, no. 2, pp. 389–397, 2007.
  • J. Wilson and P. Gader, “Use of the borda count for landmine discriminator fusion,” in Defense and Security Symposium. International Society for Optics and Photonics, 2007, pp. 655 322–655 322.
  • R. Mazhar, J. N. Wilson, and P. D. Gader, “Use of an application-specific dictionary for matching pursuits discrimination of landmines and clutter,” in Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International. IEEE, 2007, pp. 26–29.
  • P. Ngan, S. Burke, R. Cresci, J. N. Wilson, P. Gader, K. Ho, E. Bartosz, and H. Duvoisin, “Development of region processing algorithm for hstamids: status and field test results,” in Defense and Security Symposium. International Society for Optics and Photonics, 2007, pp. 65 532D–65 532D.
  • K. Ho, P. Gader, H. Frigui, and J. Wilson, “Confidence level fusion of edge histogram descriptor, hidden markov model, spectral correlation feature, and nukev6,” in Defense and Security Symposium. International Society for Optics and Photonics, 2007, pp. 655 320–655 320.
  • J. Wilson, “Landmine discrimination using the kullback-leibler distance,” in Defense and Security Symposium. International Society for Optics and Photonics, 2007, pp. 65532B–65532B.
  • R. J. Stanley, K. Ho, P. Gader, J. N. Wilson, and J. Devaney, “Land mine and clutter object discrimination using wavelet and time domain spatially distributed features from metal detectors and their fusion with gpr features for hand-held units,” Circuits, Systems & Signal Processing, vol. 26, no. 2, pp. 165–191, 2007.
  • P. Ngan, S. Burke, R. Cresci, J. N. Wilson, P. Gader, and D. K. Ho, “Region pro- cessing algorithm for hstamids,” in Defense and Security Symposium. International Society for Optics and Photonics, 2006, pp. 621 732–621 732.
  • J. Wilson, P. Gader, K. Ho, and R. Mazhar, “An analysis of sweep patterns for a handheld demining system,” in Defense and Security Symposium. International Society for Optics and Photonics, 2006, pp. 62 172W–62 172W.
  • K. Ho, P. Gader, and J. Wilson, “Improving spectral features from gpr by exploring the depth information,” in Defense and Security Symposium. International Society for Optics and Photonics, 2006, pp. 62 172O–62 172O.
  • K. Ho, P. Gader, J. Wilson, W. Lee, and T. Glenn, “Landmine detection using frequency domain features from gpr measurements and their fusion with time domain features,” in Defense and Security. International Society for Optics and Photonics, 2005, pp. 1141–1150.
  • K. Ho, P. Gader, J. Wilson, and T. Glenn, “On the use of energy density spectra for discriminating between landmines and clutter objects,” in Antennas and Propagation Society International Symposium, 2005 IEEE, vol. 3. IEEE, 2005, pp. 84–87.
  • J. N. Wilson, P. D. Gader, and H.-J. Suh, “Compactometry, the density distribution, and their use in discriminating landmines and clutter,” in Defense and Security. International Society for Optics and Photonics, 2005, pp. 1132–1140.
  • J. N. Wilson, P. D. Gader, D. K. Ho, W.-H. Lee, R. J. Stanley, and T. C. Glenn, “Region processing of ground-penetrating radar and electromagnetic induction for handheld landmine detection,” in Defense and Security. International Society for Optics and Photonics, 2004, pp. 933–944.
  • M. Foster and J. N. Wilson, “Process forensics: A pilot study on the use of checkpointing technology in computer forensics,” International journal of Digital Evidence, vol. 3, no. 1, 2004.
  • M. Foster, J. N. Wilson, and S. Chen, “Using greedy hamiltonian call paths to detect stack smashing attacks,” in Information Security. Springer, 2004, pp. 183–194.
  • C. S. Throckmorton, P. A. Torrione, L. M. Collins, P. D. Gader, W.-H. Lee, and J. N. Wilson, “The efficacy of human observation for discrimination and feature identification of targets measured by the niitek ground-penetrating radar,” in Defense and Security. International Society for Optics and Photonics, 2004, pp. 963–972.
  • R. J. Stanley, D. K. Ho, P. D. Gader, J. N. Wilson, and J. B. Devaney, “Advances in emi and gpr algorithms in discrimination mode processing for handheld landmine detectors,” in Defense and Security. International Society for Optics and Photonics, 2004, pp. 874–882.
  • H. Kwon, N. M. Nasrabadi, W.-H. Lee, P. D. Gader, and J. N. Wilson, “Proceedings for the army science conference (24th) held on 29 november-2 december 2004 in orlando, florida (cd-rom),” DTIC Document, Tech. Rep., 2004.
  • W.-H. Lee, P. D. Gader, J. N. Wilson, R. Weaver, S. Bishop, P. Gugino, and P. Howard, “Ground-tracking for on and off-road detection of landmines with ground penetrating radar,” DTIC Document, Tech. Rep., 2004.
  • P. Gader, W.-H. Lee, and J. N. Wilson, “Detecting landmines with ground- penetrating radar using feature-based rules, order statistics, and adaptive whitening,” Geoscience and Remote Sensing, IEEE Transactions on, vol. 42, no. 11, pp. 2522– 2534, 2004.
  • P. D. Gader, R. Grandhi, W.-H. Lee, J. N. Wilson, and D. K. Ho, “Feature analysis for the niitek ground-penetrating radar using order-weighted averaging operators for landmine detection,” in Defense and Security. International Society for Optics and Photonics, 2004, pp. 953–962.
  • K. Ho, P. D. Gader, and J. N. Wilson, “Improving landmine detection using frequency domain features from ground penetrating radar,” in Geoscience and Remote Sensing Symposium, 2004. IGARSS’04. Proceedings. 2004 IEEE International, vol. 3. IEEE, 2004, pp. 1617–1620.
  • P. Padala and J. N. Wilson, “Gridos: Operating system services for grid architectures,” in High Performance Computing-HiPC 2003. Springer, 2003, pp. 353–362.
  • M. Foster and J. N. Wilson, “Pursuing the three ap’s to checkpointing with uclik,” Proceedings for the 10th International Linux System Technology Conference, 2003.
  • P. D. Gader, J. N. Wilson, T. Wang, J. M. Keller, W.-H. Lee, R. Grandhi, A. K. Hocaoglu, and J. McElroy, “Fusion of acoustic/seismic and gpr detection algorithms,” in AeroSense 2003. International Society for Optics and Photonics, 2003, pp. 1307– 1315.
  • M. Lanham, A. Kang, J. Hammer, A. Helal, and J. Wilson, “Format-independent change detection and propagation in support of mobile computing.” in SBBD, 2002, pp. 27–41.
  • J. N. Wilson and L. Chen, “Dense array expressions,” in SPIE’s International Symposium on Optical Science, Engineering, and Instrumentation. International Society for Optics and Photonics, 1999, pp. 40–47.
  • J. N. Wilson, E. J. Riedy, G. Ritter, and H. Shi, “An image-algebra-based simd image-processing environment,” OPTICAL ENGINEERING-NEW YORK-MARCEL DEKKER INCORPORATED-, vol. 64, pp. 523–542, 1999.
  • M. Sweat and J. N. Wilson, “Overview of aim: supporting computer vision on hetero- geneous high-performance computing systems,” in SPIE’s International Symposium on Optical Science, Engineering, and Instrumentation. International Society for Optics and Photonics, 1998, pp. 81–92.
  • A. M. Porumbescu, G. X. Ritter, M. S. Schmalz, J. N. Wilson, V. M. Hietala, and J. G. Fleming, “Efficient imaging with integrated optoelectronics: I. overview and some applications,” in Voice, Video, and Data Communications. International Society for Optics and Photonics, 1998, pp. 184–191.
  • M. S. Schmalz, G. X. Ritter, J. N. Wilson, and A. M. Porumbescu, “Efficient imaging with integrated optoelectronics: Ii. massively parallel analog vision chip,” in Voice, Video, and Data Communications. International Society for Optics and Photonics, 1998, pp. 192–205.
  • H. Shi, G. X. Ritter, and J. N. Wilson, “A fast general algorithm for extracting image features on simd mesh-connected computers,” Pattern recognition, vol. 30, no. 7, pp. 1205–1211, 1997.
  • J. N. Wilson, R. D. Jackson, and P. C. Coffield, “Image-algebra programming environment for a new fine-grained massively parallel processor,” in AeroSense’97. International Society for Optics and Photonics, 1997, pp. 190–195.
  • J. N. Wilson and E. Riedy, “Efficient simd evaluation of image processing programs,” in Optical Science, Engineering and Instrumentation’97. International Society for Optics and Photonics, 1997, pp. 199–210.
  • R. D. Jackson, P. C. Coffield, and J. N. Wilson, “A new simd computer vision archi- tecture with image algebra programming environment,” in Aerospace Conference, 1997. Proceedings., IEEE, vol. 1. IEEE, 1997, pp. 169–185.
  • P. Padala and J. N. Wilson, “Operating system support for grid architectures,” Communications of the ACM, vol. 40, no. 1, pp. 39–45, 1997.
  • H. Shi, G. X. Ritter, and J. N. Wilson, “Simulations between two reconfigurable mesh models,” Information Processing Letters, vol. 55, no. 3, pp. 137–142, 1995.
  • H. Shi, G. X. Co-Chairman-Ritter, and J. N. Co-Chairman-Wilson, “Parallel image processing with image algebra on simd mesh-connected computers,” 1994.
  • J. N. Wilson and R. H. Forsman, “Using templates and neighborhoods: Practical considerations and formal observations,” in SPIE’s 1994 International Symposium on Optics, Imaging, and Instrumentation. International Society for Optics and Photonics, 1994, pp. 192–203.
  • R. Ehrhardt, H. Huttunen, P. Kuosmanen, L. Koskinen, J. T. Astola, P. T. Koivisto, J. P. Sharpe, N. Sungar, K. M. Johnson, C. Cuciurean-Zapan et al., “Image algebra and morphological image processing v,” 1994.
  • J. N. Wilson, “Supporting image algebra in the c++ language,” in SPIE’s 1993 International Symposium on Optics, Imaging, and Instrumentation. International Society for Optics and Photonics, 1993, pp. 315–326.
  • H. Shi, G. Ritter, and J. Wilson, “An efficient algorithm for image-template product on simd mesh connected computers,” in Application-Specific Array Processors, 1993. Proceedings., International Conference on. IEEE, 1993, pp. 250–260.
  • J. N. Wilson and D. C. Wilson, “Mathematical methods in medical imaging ii,” in Mathematical Methods in Medical Imaging II, vol. 2035, 1993.
  • J. N. Wilson, “Inverse methods,” Mathematical methods in medical imaging II: 15-16 July 1993, San Diego, California, vol. 2035, p. 217, 1993.
  • J. C. Serra, J. Mattioli, M. A. Charif-Chefchaouni, D. Schonfeld, E. R. Dougherty, P. Soille, J.-F. Rivest, J. I. Goutsias, P. Salembier, S. S. Wilson et al., “Image algebra and morphological image processing iv,” 1993.
  • J. N. Wilson, “Use of image algebra for portable image processing algorithm specification,” in SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology. International Society for Optics and Photonics, 1992, pp. 180–191.
  • K. Deng, J. N. Wilson, and G. X. Ritter, “Visual-tracking-based robot vision system,” in Applications in Optical Science and Engineering. International Society for Optics and Photonics, 1992, pp. 440–451.
  • J. J. Murillo and J. N. Wilson, “Ada interpretative system for image algebra,” in San Diego’92. International Society for Optics and Photonics, 1992, pp. 166–177.
  • H. H. Barrett, J. M. Coggins, S. Calcagni, G. Venturi, S. G. Dellepiane, D. C. Wilson, E. A. Geiser, J.-H. Li, D. H. Eberly, D. S. Fritsch et al., “Mathematical methods in medical imaging,” 1992.
  • R. Forchheimer, P. Ingelhag, C. Jansson, B. Greer, J. A. Webb, S. Purcell, D. Galbi, R. J. Gove, A. Razavi, I. Shenberg et al., “Image processing and interchange: Implementation and systems,” 1992.
  • J. N. Wilson, “Computer vision instruction for undergraduates: an experiment,” Collegiate Microcomputer, vol. 10, no. 1, pp. 9–14, 1992.
  • D.-i. Kim and J. N. Wilson, “Segmentation of images for gingival growth measure- ment,” in San Diego’92. International Society for Optics and Photonics, 1992, pp. 260–268.
  • P. Rustanius, L. Koskinen, J. T. Astola, W. S. Costa, R. M. Haralick, F. M. Sand, E. R. Dougherty, N. D. Sidiropoulos, J. S. Baras, C. A. Berenstein et al., “Image algebra and morphological image processing iii,” 1992.
  • J. N. Wilson, “Introduction to image algebra ada,” in San Diego,’91, San Diego, CA. International Society for Optics and Photonics, 1991, pp. 101–112.
  • G. Ritter, J. Davidson, and J. Wilson, “Beyond mathematical morphology,” in 1987 Cambridge Symposium. International Society for Optics and Photonics, 1987, pp. 260–269.
  • G. Ritter, J. Wilson, and J. Davidson, “Data compression of multispectral images,” in 31st Annual Technical Symposium. International Society for Optics and Photonics, 1988, pp. 58–64.
  • K. Deng and J. N. Wilson, “Approximation-based video tracking system,” in San Diego,’91, San Diego, CA. International Society for Optics and Photonics, 1991, pp. 304–312.
  • M. S. Schmalz and J. N. Wilson, “Relationship of image algebra to the optical processing of signals and imagery,” in Orlando’91, Orlando, FL. International Society for Optics and Photonics, 1991, pp. 212–234.
  • K. Deng and J. N. Wilson, “Contour estimation using global shape constraints and local forces,” in San Diego,’91, San Diego, CA. International Society for Optics and Photonics, 1991, pp. 227–233.
  • A. M. Vepsalainen, S. Linnainmaa, O. P. Yli-Harja, Y. Lu, R. C. Vogt III, P. Salembier, L. Jaquenoud, D. S. Bloomberg, J. C. Serra, F. J. Preteux et al., “Image algebra and morphological image processing ii,” 1991.
  • S. Banerjee, J. P. Basart, S. Beucher, D. S. Bloomberg, J. Brandt, T. CaoHuu, D. P. Casasent, K.-H. Chu, W. J. Cooke, J. L. Davidson et al., “Image algebra and morphological image processing volume 1350,” Image algebra and morphological image processing: 10-12 July 1990, San Diego, California, vol. 1350, no. 9015, p. 478, 1990.
  • D. Li, G. X. Ritter, E. R. Dougherty, E. J. Kraus, D. H. Eberly, D. J. Wenzel, H. G. Longbotham, P. Maragos, S. S. Wilson, S. Sahasrabudhe et al., “Image algebra and morphological image processing,” 1990.
  • I. AMIR, S. BARONTI, A. M. BRUCKSTEIN, A. CASINI, S. CONNELLY, M. CUN- NINGHAM, J. DAVIDSON, L. FAVARO, N. GRISWOLD, M. JERNIGAN et al., “Ahuja, narendra, 68 aizawa, k ̃ nio, 357,” Computer Vision, Graphics, and Image Processing, vol. 49, p. 409, 1990.
  • L. A. White, G. X. Co-Chairman-Ritter, and J. N. Co-Chairman-Wilson, “A hierarchical method of performing global optimizations,” 1990.
  • J. N. Wilson, “Generalized matrix product and its relation to parallel architecture communication,” in San Diego’90, 8-13 July. International Society for Optics and Photonics, 1990, pp. 308–318.
  • G. X. Ritter, J. N. Wilson, and J. L. Davidson, “Image algebra: An overview,” Computer Vision, Graphics, and Image Processing, vol. 49, no. 3, pp. 297–331, 1990.
  • G.X. Ritter, J.N. Wilson, and J.L. Davidson, “Image algebra application to image measurement and feature extraction,” in OE/LASE’89, 15-20 Jan., Los Angeles. CA. International Society for Optics and Photonics, 1989, pp. 146–155.
  • J. N. Wilson, D. Wilson, and G. Ritter, “Image algebra fortran preprocessor user’s manual,” DTIC Document, Tech. Rep., 1989.
  • G. Ritter, J. Wilson, and J. Davidson, “Image algebra application to multisen- sor and multidata image manipulation,” in 1988 Orlando Technical Symposium. International Society for Optics and Photonics, 1988, pp. 2–7.
  • J. Wilson, G. Fischer, and G. Ritter, “Implementation and use of an image processing algebra for programming massively parallel machines,” in Frontiers of Massively Parallel Computation, 1988. Proceedings., 2nd Symposium on the Frontiers of. IEEE, 1988, pp. 587–594.
  • G. Ritter, M. Shrader-Frechette, and J. Wilson, “Image algebra: A rigorous and translucent way of expressing all image processing operations,” in Technical Sym- posium Southeast. International Society for Optics and Photonics, 1987, pp. 116–121.