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Publications

Editorial Boards:

• Proposal reviewer for U.S. Civilian Research & Development Foundation
• Reviewer for Computerized Medical Imaging and Graphics
• 2005, Book reviewer for the CRC Press
• 2005, Book reviewer for Wiley Interscience, John Wiley and Sons, Inc
• 2005-present, Reviewer for Computerized Medical Imaging and Graphics journal, published by Elsevier
• 2004-present, Reviewer for Image and Vision Computing journal, published by Elsevier
• 2002, Reviewer for special issue of IEEE Robotics & Automation on "Robotics in Education"
• 1999-2000, Reviewer for IEEE Transactions on Medical Imaging
• 1999-present, Reviewer for IEEE Transactions on Biomedical Engineering
• 1998 - present, Book reviewer for Prentice Hall Professional-Technical-Reference (PTR) Division
• 1997 - 1998, Associate Editor for IEEE Transactions on Information Technology in Biomedicine
• 1993 - present, Associate Editor for Pattern Recognition
• 1992 - 1999, Editorial Board member for IEEE Engineering in Medicine and Biology

Books:

·         Digital Image Processing and Analysis: Applications with Matlab and CVIPtools,3^rd Edition ,  Scott E Umbaugh, CRC Press, Taylor & Francis Group, Boca Raton, FL, 2018, 873 pages, ISBN: 9781498766029

·       Digital Image Processing and Analysis: Human and Computer Vision Applications with CVIPtools,2^nd  Edition  Scott E Umbaugh, CRC Press, Taylor & Francis Group, Boca Raton, FL, 2011, 956 pages, ISBN: 9781439802052

·         Computer Imaging: Digital Image Analysis and Processing , Scott E Umbaugh, The CRC Press, Boca Raton, FL, January 2005, 659 pages, CVIPtools CD-ROM with book, ISBN: 0-84-932919-1

·         Computer Vision and Image Processing: A Practical Approach Using CVIPtools , S. E Umbaugh, Prentice Hall PTR, Upper Saddle, NJ, 1998, 504 pages, includes CD-ROM with software, ISBN 0-13-264599-8.

Papers and Presentations:

·         “Identification of bone cancer in canine thermograms”, N Gorre, SE Umbaugh, DJ Marino, J Sackman, SPIE Defense + Commercial Sensing 2020, Proceedings of SPIE, Vol. 11409, Thermosense: Thermal Infrared Applications XLII, April 28-30 2020

·         “Medical infrared thermal imaging of syringomyelia in the Cavalier King Charles Spaniel”, M Larkin, C Loughin, D Marino, C Dewey, S Umbaugh, J Sackman, BMC Veterinary Research, (2020) 16:137, https://doi.org/10.1186/s12917-020-02354-y

·         “Detection of syrinx in thermographic images of canines with Chiari malformation using MATLAB CVIP toolbox GUI”, JC Buritica, A Karlapalem, SE Umbaugh, DJ Marino, and J Sackman, SPIE Commercial + Scientific Sensing and Imaging, 2019, Baltimore Convention Center, April 14-18, 2019, Proceedings of SPIE, Vol. 11004, Thermosense: Thermal Infrared Applications XLI, 1100405 (2 May 2019), DOI: 10.1117/12.2519112; https://doi.org/10.1117/12.2519112

·         “Medical infrared imaging and orthostatic analysis to determine lameness in the pelvic limbs of dogs”, E Garcia, C Loughin, DJ Marino, J Sackman, SE Umbaugh, J Fu, S Subedi, M Lesser, M Akerman and J Schossler, Open Veterinary Journal, Vol. 7(4), 2017, DOI: http://dx.doi.org/10.4314/ovj.v7i4

·         “Veterinary Software Application for Comparison of Thermograms for Pathology Evaluation”, G Pant, SE Umbaugh, R Dahal, N Lama, DJ Marino, and J Sackman, Proceedings of SPIE, Vol. 10396,  Applications of Digital Image Processing XL, 103962B, August 6-10, 2017, San Diego, CA, DOI: http://dx.doi.org/10.1117/12.2273077

·         “Thermographic image analysis for classification of ACL rupture disease, bone cancer, and feline hyperthyroid, with Gabor filters”, M Alvandipour, SE Umbaugh, D Mishra, R Dahal, N Lama, D J Marino, and J Sackman, SPIE Commercial + Scientific Sensing and Imaging, April 2017, Proceedings of SPIE, Vol. 10214 Thermosense: Thermal Infrared Applications XXXIX. http://dx.doi.org/10.1117/12.2261753

·         “Thermography based prescreening software tool for veterinary clinics”, R Dahal, SE Umbaugh, D Mishra, N Lama, M Alvandipour, DS Umbaugh, DJ Marino, and J Sackman, SPIE Commercial + Scientific Sensing and Imaging, April 2017, Proceedings of SPIE, Vol. 10214 Thermosense: Thermal Infrared Applications XXXIX, http://dx.doi.org/10.1117/12.2260758.

·         “An Effective Hair Detection Algorithm for Dermoscopy Images of Melanoma”, D Chakraborti, R Kaur, SE Umbaugh, R Leander, SPIE Optical Engineering + Applications  Conference: Applications of Digital Image Processing , August 2016, San Diego, California. Proceedings of SPIE Vol. 9971

·         "Thermography based diagnosis of ruptured anterior cruciate ligament (ACL) in canines", N Lama, S E Umbaugh, D Mishra, R Dahal, D Marino, J Sackman, SPIE Optical Engineering + Applications  Conference: Applications of Digital Image Processing XXXIX, August, 2016, Proceedings of SPIE Vol. 9971

·         "Image processing and pattern recognition with CVIPtools MATLAB toolbox: automatic creation of masks for veterinary thermographic images", D Mishra, SE Umbaugh, N Lama, R Dahal, D Marino, J Sackman, SPIE Optical Engineering + Applications  Conference: Applications of Digital Image Processing  XXXIX, August, 2016, Proceedings of SPIE Vol. 9971

·         “Medical Infrared Imaging of Normal and Dysplastic Elbows in Dogs”, L McGowan, C Loughin, D Marino, SE Umbaugh, P Liu, M Amini, Veterinary Surgery, September 2015, DOI: 10.1111/vsu.12372

·         “Medical Infrared Imaging (Thermography) of Type I Thoracolumbar Disk Disease in Chondrodystrophic Dogs”, Grossbard BP, Loughin CA, Marino DJ, Marino LJ, Sackman J, Umbaugh SE, Solt PS, Afruz J, Leando P, Lesser ML, Akerman M., Veterinary Surgery, 2014, Oct, 43(7):869-76

·          “Thermographic Image Analysis as a Pre-screening Tool for the Detection of Canine Bone Cancer”, S Subedi, SE Umbaugh, J Fu, DJ Marino, CA Loughin, SPIE Optical Engineering + Applications  Conference: Applications of Digital Image Processing  XXXVII, August, 2014, Proceedings of SPIE Vol. 9217

·         “Pixel Based Texture in Painting using Optimal Neighborhood Positioning”, R Kaur, D Hauer, R LeAnder, S Umbaugh, Journal of Innovation in Computer Science and Engineering, Guru Nanak Publications, Vol. 3(1), Jul-Dec 2013, pp. 5-10, ISSN 2278-0947

·         “Thermographic Image Analysis Method in Detection of Canine Bone Cancer”, MS Amini, P Liu, SE Umbaugh, DJ Marino, CA Loughin, 5^th International Conference on Image and Signal Processing (CISP'12) and 5^th International Conference on BioMedical Engineering and Informatics (BMEI'12), 16-18 October 2012, Chongqing, China, IEEE Conference Record Number for CISP'12: 20190; IEEE Conference Record Number for BMEI'12: 20189.

·         “Frequency Domain Pseudo-Color to Enhance Ultrasound Images”, Afruz, J., Wilson, V., Umbaugh, SE, Computer and Information Science, Vol. 3, No. 4, Nov. 2010, pp.24-34,  ISSN 1913-8989, E-ISSN 1913-8997

·          “Automatic Mask Creation and Feature Analysis for Detection of IVDD in Canines”,  J Afruz, J Phelps, SE Umbaugh, DJ Marino, CA Loughin, Proceedings of 5th International Conference on Computer Sciences and Convergence Information Technology , Nov 30-Dec 2, 2010, Seoul, Korea

·         “Development of a New Algorithm for Blood Vessel Segmentation in Retinal Images Using the CVIP Algorithm Test and Analysis Tool,” RW LeAnder, P Guvenc, M Das, SE Umbaugh, Proceedings of The International Multi-Conference on Complexity, Informatics and Cybernetics: IMCIC/ICEME 2010, April 6 – 9, 2010, Orlando, Florida. Download

·         “Thermal Imaging of Normal and Cranial Cruciate Ligament-Deficient Stifles in Dogs”, T Infernuso, CA Loughin, DJ Marino, SE Umbaugh, PS Solt, Veterinary Surgery 2010, Vol. 39, pp. 410-417

·         “Differentiation of Melanoma from Benign Mimics Using the Relative-Color Method”, RW LeAnder, P Chindam, M Das, SE Umbaugh, Skin Research and Technology, Volume 16: Issue 3: 297–304, August 2010

·         "A new algorithm for detecting smaller retinal blood vessels in fundus images." RW LeAnder, PI Bidari,  TA Mohammad, M Das, SE Umbaugh, Proceedings of the SPIE Medical Imaging 2010 Conference, Vol. 7624, 7624-3B, pp. 1-7, February 13-18, 2010, San Diego, CA. Download

·         “Detection of Atypical Texture Features in Early Malignant Melanoma”, B. Shrestha,  J. Bishop,  K. Keong,  X. Chen,  R. H. Moss, W. V. Stoecker, S. E Umbaugh,, R. J. Stanley, M. E. Celebi, A. A. Marghoob, G. Argenziano, H. P.Soyer, Skin Research and Technology, Vol. 16, No. 1, pp: 60-65, February 2010

·         “Comparison of two algorithms in the automatic segmentation of blood vessels in fundus images”, Proceedings of the SPIE Medical Imaging 2008 Conference, Vol. 6915, 69153H (2008); Feb 16-21, 2008, San Diego, CA, RW LeAnder, S Myneni,  S Mokkapati, SE Umbaugh. Download

·         "Skin Lesion Classification Using Relative Color Features", Y. Cheng, R. Swamisai, S.E Umbaugh, R.H. Moss, W.V. Stoecker, S. Teegala, S.K. Srinivasan, Skin Research and Technology, Volume 14, Issue 1, February, 2008, pp.53-64 http://www.blackwell-synergy.com/doi/full/10.1111/j.1600-0846.2007.00261.x

·         ”Computer Imaging: A Project for Pattern Classification of Range Images”, SE Umbaugh, RW LeAnder, P Solt, A Kharbanda, P Deokar, Computer Applications in Engineering Education, Volume 17, Issue 2, June 2009, pp. 225-231, Online ISSN: 1099-0542, Print ISSN: 1061-3773, Wiley Periodicals, Inc. Download

·         ”Computer Imaging: A Project for Pattern Classification of Range Images”, SE Umbaugh, RW LeAnder, P Solt, A Kharbanda, P Deokar, Computer Applications in Engineering Education, Volume 17, Issue 2, June 2009, pp. 225-231, Online ISSN: 1099-0542, Print ISSN: 1061-3773, Wiley Periodicals, Inc. Download

·         “Automatic Differentiation of Melanoma and Clark  Nevus Skin Lesions”, in  Medical Imaging 2007: Computer-Aided Diagnosis, Proceedings of SPIE Vol. 6514, CID No. 65142V, R. W LeAnder, A. Kasture, A. Pandey, SE Umbaugh

• “Automatic Recognition and Classification of Land Cover Types from Satellite Images Using Quadratic Discriminant Analysis and Multilayer Perceptron”, Proceedings of the International Conference on Engineering and Mathematics, Bilbao, Spain, July 10-11, 2006, HK Choge and SE Umbaugh. Download
• “A Watershed-based Approach to Skin Lesion Border Segmentation”, X Chen, RH Moss, WV Stoecker, SE Umbaugh, RJ Stanley, BJ Threstha, presented at the 6th World Congress on Melanoma, Vancouver BC, Canada, September 6-10, 2005
• “Color-based Diagnosis: Clinical Images”, I. Y. Cheng, S. E Umbaugh, presented at the Symposium on Automatic Detection of Malignant Melanoma Using Image Processing, University of Missouri Rolla, July 6-13, 2005
• "Melanoma and Seborrheic Keratosis Differentiation Using Texture Features", S.V. Deshabhoina, S.E Umbaugh, W.V. Stoecker, R.H. Moss, S.K. Srinivasan, Skin Research and Technology, November 2003, No. 9, pp. 348-356.
• "Faint Line Defect Detection in Gray Scale Images" , I.Y. Cheng, M. Wilson, S.Umbaugh, T. Ceylan, Society for Information Display (SID) 2002 Microdisplay Conference Digest, pp. 74-77, Westminster, Colorado, September 18-20, 2002.
• "Compression of Color Skin Tumor Images with Vector Quantization", L. Guo, S.Umbaugh, Y. Cheng, IEEE Engineering in Medicine and Biology Magazine, Vol. 20, No.6, Nov/Dec 2001, pp. 152-164. Download
• "Web Site for Computer Imaging Education", A. Mani, R. Swamisai, S. E Umbaugh, Computer Applications in Engineering Education , John Wiley & Sons, NY, Volume 8,No. 2, September 2000, pp. 61-71.
• "Compression of Skin Tumor Images", A. Kjoelen, S.E Umbaugh, M.Zuke, IEEE Engineering in Medicine and Biology Magazine, Vol. 17, No. 3, May/June 1998, pp. 73-80.
• "CVIPtools: A Software Package for Computer Imaging Education", M. Zuke, S. E Umbaugh, Computer Applications in Engineering Education, John Wiley & Sons, NY, Vol. 5, No. 3, 1997, pp. 213-220. Download
• "Feature Extraction in Image Analysis", S. E Umbaugh, Y. Wei, M. Zuke, IEEE Engineering in Medicine and Biology Magazine, Vol.16, No. 4, July/August 1997, pp. 62-73.
• "Which Computer-Detected Features of Pigmented Lesions Best Predict a Diagnosis of Malignant Melanoma?", Stoecker WV, Moss RH, Madsen RW, Lee HC, Ercal F and Umbaugh SE: Melanoma Research 7 suppl 1: S13-14, June 1997.
• "Unsupervised Color Image Segmentation with Application to Skin Tumor Borders", G.A.Hance, S.E. Umbaugh, R.H. Moss, W.V. Stoecker, IEEE Engineering in Medicine and Biology, Vol. 15, No. 1, 1996, pp. 104-111.
• "Performance of Artificial Intelligence Methods In Automated Detection of Melanoma", A. Kjoelen, M. Thompson, S. Umbaugh, R. Moss, W. Stoecker, IEEE Engineering Medicine and Biology, Vol.14, No.4 July/August 1995, pp. 411-416.
• "A Dynamic Window Based Runlength Coding Algorithm Applied to Gray Level Images", M. Kumar, S.E. Umbaugh, Graphical Models and Image Processing, Vol. 57, No. 4, July 1995, pp. 267-282.
• "Color Analysis in Diagnosis of Pigmented Lesions", Stoecker WV, Moss RH, Ercal F, Umbaugh SE, Presentation at 2nd Annual Meeting, International Society for Digital Imaging of the Skin (ISDIS), New Orleans LA, February, 1995.
• "Overview: Visible-Light Digital Imaging of the Skin", Stoecker WV, Moss RH, Ercal F, Umbaugh SE, Presentation at 2nd Annual Meeting, International Society for Digital Imaging of the Skin (ISDIS), New Orleans LA, February, 1995.
• "Nondermatoscopic Digital Imaging of Pigmented Lesions", W.V. Stoecker, R.H. Moss F. Ercal, S.E. Umbaugh, Skin Research and Technology, Volume 1, Number 1, February 1995, pp. 7-16.
• "Artificial Intelligence Applied to Detection of Melanoma", A. Kjoelen, S.E. Umbaugh, R.H. Moss, W.V. Stoecker, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego CA, October 28-31, 1993.
• "Store Separation Flight Test Image Enhancement Tools", M.L. Johnson, S.E. Umbaugh, presented at the Joint Aircraft-Stores Compatibility Subgroup of the Joint Ordinance Commanders Group Aircraft-Stores Compatibility Seminar, September 29, 1993, Fort Walton Beach, Florida.
• "Automatic Color Segmentation Algorithms: With Application to Skin Tumor Feature Identification", S.E. Umbaugh, R.H. Moss, W.V. Stoecker, G.A. Hance, IEEE Engineering in Medicine and Biology, Volume 12, Number 3, September 1993, pp. 75-82.
• "Identification of Variegated Coloring in Skin Tumors: Neural Network vs. Rule-Based Induction Methods", A. Durg, W.V. Stoecker, J.P. Cookson, S.E. Umbaugh, R.H. Moss, IEEE Engineering in Medicine and Biology, Volume 12, Number 3, September 1993, pp. 71-74.
• "An Automatic Color Segmentation Algorithm with Application to Identification of Skin Tumor Borders", S.E. Umbaugh, R.H. Moss, W.V. Stoecker, Computerized Medical Imaging and Graphics, Volume 16, Number 3, May/June 1992, pp. 227-235.
• "Capstone Design Courses as Preparation for Industry", S.E. Umbaugh, R.R. Romick-Allen, Proceedings of the American Society for Engineering Education, March 13-14 1992, University of Notre Dame, Notre Dame, Indiana, 46556.
• "Motivating Effective Design Teams in a Classroom Environment", R.K. Romick-Allen, S.E. Umbaugh, Proceedings of the American Society for Engineering Education, March 13-14 1992, University of Notre Dame, Notre Dame, Indiana, 46556.
• "Applying Artificial Intelligence to the Identification of Variegated Coloring in Skin Tumors", S.E. Umbaugh, R.H. Moss, W.V. Stoecker, IEEE Engineering in Medicine and Biology, Volume 10, Number 4, December 1991, pp. 57-62.
• "Computer Vision in Medicine: Color Metrics and Image Segmentation Methods for Skin Cancer Diagnosis", S.E. Umbaugh, Electrical Engineering Department, PhD Dissertation, U of MO-Rolla, UMI Dissertation Services, Ann Arbor MI, 1990.
• "Computer Vision in Medicine: Color Metrics and Image Segmentation Methods for Skin Cancer Diagnosis", S.E. Umbaugh, Ph.D. dissertation abstract, IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence Newsletter, September, 1990, p.33.
• "Automatic Color Segmentation of Images with Application to Detection of Variegated Coloring in Skin Tumors", S.E. Umbaugh, R.H. Moss, W.V. Stoecker, IEEE Engineering in Medicine and Biology, December, 1989, Volume 8, Number 4, pp. 43-52.
• "Computer Vision in Dermatology: Automatic Recognition of Melanoma Features", W.V. Stoecker, I.E. Dhillon, R.H. Moss, S.E. Umbaugh, et al, presented at the American Academy of Dermatology Congress on Technology, Nov. 11, 1988.
• "Computer Vision in Medicine: Identification of Variegated Coloring in Digitized Skin Tumor Images", S.E. Umbaugh, MSEE thesis, Electrical Engineering Department, U of MO-Rolla, 1987.

 

Contact Information

sumbaug@siue.edu