PUBLICATIONS
[1] M.B.H. Rhouma, L. Hermi, and M.A.
Khabou, “Laplacian and Bilaplacian
Based Features for Shape Classification,” Proc. Int’l Conference on
Image Processing, Computer Vision, and Pattern Recognition,
[2] W. Maghrebi, M.A. Khabou, and A.M.
Alimi, “Extraction of Fuzzy Spatial Relationships for Multi Objects
Indexing of Historic Mosaic Images,” Proc. Int’l Conference on
Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, NV,
(2009)
[3] N.A. Chan and M.A. Khabou,
“Alarm-Triggered Web-connected Video Surveillance System,” Scholars
of Engineering, Applied Sciences and Technology Annual Research Symposium
(SEASTARS),
[4] M. A. Khabou, M. B. H. Rhouma, and
L. Hermi, “Performance Comparison of Laplacian-Based
Features,” Proc. Int’l Conference on Image Processing, Computer
Vision, and Pattern Recognition,
[5] E. M. El-Sheikh, B. A. Swain, and M
A. Khabou, “A Comparison of Neural Network Architectures for Handwritten
Digit Recognition,” Proc. Int’l Conference on Artificial
Intelligence,
[6] B. Swain, E. El-Sheikh, and M. A.
Khabou, “Recognize This! A Neural Network-based Recognizer of Handwritten
Digits,” Scholars of Engineering, Applied Sciences and Technology Annual
Research Symposium (SEASTARS), University of West Florida, (2008)—Paper
won the Computer Science Award” sponsored by Prompt Technologies.
[7] M. A. Khabou, L. Hermi, and M. B.
H. Rhouma, “Shape Recognition Using Eigenvalues
of the Dirichlet Laplacian,”
Pattern Recognition, Vol. 40, pp. 141–153, (2007)
[8] T. M. Hamdani, A. M. Alimi, and M.
A. Khabou, “An Iterative Method for Deciding SVM and Single Layer Neural
Network Structures,” Submitted to the journal Neural Networks, under
review, 19 pages, (2007)
[9] T. Ayadi,
T. M. Hamdani, A. M. Alimi, and M. A. Khabou, “2IBGSOM: Interior and
Irregular Boundaries Growing Self-Organizing Maps,” Int’l
Conference on Machine Learning and Applications,
[10] M. A. Khabou, M. B. H. Rhouma, and
L. Hermi, “Feature Generation Using the Laplacian
Operator with Neumann Boundary Condition,” Proc. IEEE Southeast
Conference, pp. 766-771,
[11] W. Maghrebi, A. Borchani,
M. A. Khabou, and A. M. Alimi, “A System for Historic Document Image Indexing
and Retrieval Based on XML Database Conforming to MPEG7 Standard,”
Int’l Workshop on Graphic Recognition,
[12] W. Maghrebi, L. Baccour, M.A. Khabou, and A.M. Alimi,
“An Indexing and Retrieval System of Historic Art Images Based on Fuzzy
Shape Similarity,” chapter in MICAI 2007: Advances in Artificial Intelligence, pp. 623–633, A. Gelbukh and A.F. Kuri Morales
(Eds.): Springer-Verlag Berlin Heidelberg (2007)
[13] M. A. Khabou and L. F. Solari, “A Morphological Neural Network-Based System
for Face Detection and Recognition,” IEEE Southeast Conference,
[14] W. Maghrebi, M. A. Khabou, and A.
M. Alimi, “A System for Indexing and Retrieving Historical Arabic
Documents Based on Fourier Descriptors,” International Conference on
Artificial and Computational Intelligence for Control, Automation and Decision
in Engineering and Industrial Systems,
[15] M. A. Khabou and S. G. Kleiner, “Face Detection: Combining Classifiers to
Improve Performance,” International Conference on Computing,
Communication and Control Technologies,
[16] M. A. Khabou, “Automatic
Detection of Human in Visual Scenes”, Technical Report, UWF Summer
Research Grant, (2003)
[17] J. Hereford, R. Selim,
and M. A. Khabou, “Remote Acquisition Storage System,” Technical
Report,
[18] P. D. Gader,
B. N. Nelson, A. K. Hocaoglu, S. Auephanwiriyakul,
and M. A. Khabou, “Neural Vs. Heuristic Development of Choquet Fuzzy Integral Fusion Algorithms for Land Mine
Detection,” chapter in Neuro-fuzzy Pattern
Recognition, H. Bunke, A. Kandel
(editors): World Scientific Publishing Co., (2000)
[19] M. A. Khabou, “Application of
Morphological Shared-Weight Neural Networks to Landmine Detection,”
International Conference on Artificial and Computational Intelligence for
Control, Automation and Decision in Engineering and Industrial Systems,
[20] P. D. Gader,
M. A. Khabou, and A. Koldobsky, “Morphological
Regularization Networks,” Pattern Recognition, Special Issue on
Mathematical Morphology and Its Application, Vol. 33, No. 6, pp. 935-944,
(2000)
[21] M. A. Khabou, P. D. Gader, and J. M. Keller, “LADAR Target Detection
Using Morphological Shared-Weight Neural Networks,” Machine Vision and
Applications, Vol. 11, No. 6, pp. 300-305, (2000)
[22] M. A. Khabou and P. D. Gader, “Automatic Target Detection Using
Entropy-Optimized Shared-Weight Neural Networks,” IEEE Trans. Neural Networks,
Vol. 11, No. 1, pp. 186-194, (2000)
[23] M. A. Khabou, P. D. Gader, and J. M. Keller, “Morphological Shared-Weight
Neural Networks: A
[24] M. A. Khabou, P. D. Gader, and H. Shi, “Entropy Optimized Morphological
Shared-Weight Neural Networks,” Optical Engineering, Vol. 38, No. 2, pp.
263-273, (1999)
[25] N. Theera-Umpon,
M. A. Khabou, P. D. Gader, J. M. Keller, H. Shi and
H. Li, “Detection and Classification of MSTAR Objects Via Morphological
Shared-Weight Neural Networks,” Proceedings SPIE, Vol. 3370, pp. 530-540,
(1998)
[26] P. D. Gader,
J. M. Keller, H. Shi, and M. A. Khabou, “Extension of Image Algebra-Based
Local Feature Extraction and Detection of Occluded Vehicles,” Technical
Report, Eglin AFB, (1997)
[27] M. A. Khabou and P. D. Gader, “Erosion and Dilation as Solutions to
Regularization Problem,” Proceedings SPIE, Vol. 3026, pp. 106-111, (1997)
[28] P. D. Gader,
J. M. Keller, and M. A. Khabou, “Image Algebra-Based Local Feature
Extraction and Detection of Occluded Vehicles,” Technical Report, Eglin
AFB, (1996)
[29] P. D. Gader
and M. A. Khabou, “Automatic Feature
[30] P. D. Gader,
Y. Won and M. A. Khabou, “Image Algebra Network for Pattern
Recognition,” SPIE Proceedings, Vol. 2300, pp. 157-168, (1994)
[31] P. D. Gader
and M. A. Khabou, “Automated Feature