Multilevel Object Extraction by BDSONN Architecture

In the previous chapter, a bidirectional self-organizing neural network (BDSONN) architecture [88, 241–244] with a feedforward mode of propagation of input information and efficient for real-time extraction of objects from a binary noisy image has been presented. The BDSONN architecture [88, 241–244] addresses the inherent limitations of the multilayer self-organizing neural network (MLSONN) architecture [89] when it comes to the extraction of binary objects.

[1]  Jan P. Allebach,et al.  Halftoning via direct binary search using analytical and stochastic printer models , 2003, IEEE Trans. Image Process..

[2]  Tomer Hertz,et al.  Learning Distance Functions using Equivalence Relations , 2003, ICML.

[3]  Ahmed S. Abutableb.  Automatic thresholding of gray-level pictures using two-dimensional entropy , 1989 .

[4]  Jong-Sen Lee,et al.  The use of fully polarimetric information for the fuzzy neural classification of SAR images , 2003, IEEE Trans. Geosci. Remote. Sens..

[5]  Martin T. Hagan,et al.  Neural network design , 1995 .

[6]  M.-R. Akbarzadeh-T,et al.  Fast image segmentation using C-means based Fuzzy Hopfield neural network , 2008, 2008 Canadian Conference on Electrical and Computer Engineering.

[7]  Ujjwal Maulik,et al.  Binary object extraction using bi-directional self-organizing neural network (BDSONN) architecture with fuzzy context sensitive thresholding , 2007, Pattern Analysis and Applications.

[8]  Jitendra Malik,et al.  Normalized Cuts and Image Segmentation , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  George D. C. Cavalcanti,et al.  Classification and Segmentation of Visual Patterns Based on Receptive and Inhibitory Fields , 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

[10]  Alicia Fernández,et al.  Ultrasound Image Segmentation With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation , 2007, IEEE Transactions on Image Processing.

[11]  Lawrence D. Jackel,et al.  Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.

[12]  Ujjwal Maulik,et al.  Multilevel image segmentation with adaptive image context based thresholding , 2011, Appl. Soft Comput..

[13]  A. Bouzerdoum,et al.  Texture Classification using Convolutional Neural Networks , 2006, TENCON 2006 - 2006 IEEE Region 10 Conference.

[14]  Chun-Jen Chen,et al.  A linear-time component-labeling algorithm using contour tracing technique , 2004, Comput. Vis. Image Underst..

[15]  Paola Campadelli,et al.  Quantitative evaluation of color image segmentation results , 1998, Pattern Recognit. Lett..

[16]  William E. Higgins,et al.  Symmetric region growing , 2003, IEEE Trans. Image Process..

[17]  Yu-Tai Ching,et al.  Fuzzy Hopfield neural network with fixed weight for medical image segmentation , 2002 .

[18]  Thierry Pun,et al.  A new method for grey-level picture thresholding using the entropy of the histogram , 1980 .

[19]  C. L. Liu.  Elements of Discrete Mathematics , 1985 .

[20]  Hong Yan,et al.  A technique of three-level thresholding based on probability partition and fuzzy 3-partition , 2001, IEEE Trans. Fuzzy Syst..

[21]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[22]  Jan-Ru Chen,et al.  Object segmentation for video coding , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[23]  P.K Sahoo,et al.  A survey of thresholding techniques , 1988, Comput. Vis. Graph. Image Process..

[24]  Christopher M. Bishop,et al.  Neural networks for pattern recognition , 1995 .

[25]  Michael Georgiopoulos,et al.  Classification of noisy signals using fuzzy ARTMAP neural networks , 2001, IEEE Trans. Neural Networks.

[26]  Hamed Hamid Muhammed,et al.  Unsupervised fuzzy clustering and image segmentation using weighted neural networks , 2003, 12th International Conference on Image Analysis and Processing, 2003.Proceedings..

[27]  Mohammad Bagher Menhaj,et al.  Training feedforward networks with the Marquardt algorithm , 1994, IEEE Trans. Neural Networks.

[28]  Claire Cardie,et al.  Proceedings of the Eighteenth International Conference on Machine Learning, 2001, p. 577–584. Constrained K-means Clustering with Background Knowledge , 2022 .

[29]  Ujjwal Maulik,et al.  High-speed target tracking by fuzzy hostility-induced segmentation of optical flow field , 2009, Appl. Soft Comput..

[30]  Ujjwal Maulik,et al.  Self organizing neural network (SONN) based gray scale object extractor with a multilevel sigmoidal (MUSIG) activation function , 2008 .

[31]  Christian Viard-Gaudin,et al.  A Convolutional Neural Network Approach for Objective Video Quality Assessment , 2006, IEEE Transactions on Neural Networks.

[32]  Christophe Garcia,et al.  Convolutional face finder: a neural architecture for fast and robust face detection , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[33]  David Dagan Feng,et al.  Real-Time Volume Rendering Visualization of Dual-Modality PET/CT Images With Interactive Fuzzy Thresholding Segmentation , 2007, IEEE Transactions on Information Technology in Biomedicine.

[34]  Hui Zhang,et al.  An entropy-based objective evaluation method for image segmentation , 2003, IS&T/SPIE Electronic Imaging.

[35]  Martin A. Riedmiller,et al.  A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.

[36]  Pan Lin,et al.  Image thresholding based on spatially weighted fuzzy c-means clustering , 2004, The Fourth International Conference onComputer and Information Technology, 2004. CIT '04..

[37]  Josef Kittler,et al.  Minimum error thresholding , 1986, Pattern Recognit..

[38]  Y. J. Zhang,et al.  A survey on evaluation methods for image segmentation , 1996, Pattern Recognit..

[39]  Massimo Piccardi,et al.  Background subtraction techniques: a review , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[40]  Huilong Duan,et al.  Cellular Neural Network Based Urinary Image Segmentation , 2007, Third International Conference on Natural Computation (ICNC 2007).

[41]  U. Maulik,et al.  Fuzzy Context Sensitive Thresholding Guided Bidirectional Self Organizing Neural Network (BDSONN): A Gray Scale Object Extractor , 2006, 2006 Fourth International Conference on Intelligent Sensing and Information Processing.

[42]  Beat Fasel,et al.  Head-pose invariant facial expression recognition using convolutional neural networks , 2002, Proceedings. Fourth IEEE International Conference on Multimodal Interfaces.

[43]  Daphna Weinshall,et al.  Subordinate class recognition using relational object models , 2006, NIPS.

[44]  Andrew K. C. Wong,et al.  A new method for gray-level picture thresholding using the entropy of the histogram , 1985, Comput. Vis. Graph. Image Process..

[45]  Shouhong Wang,et al.  Classification with incomplete survey data: a Hopfield neural network approach , 2005, Comput. Oper. Res..

[46]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[47]  Yee-Hong Yang,et al.  Multiresolution Color Image Segmentation , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[48]  Abdesselam Bouzerdoum,et al.  A Pyramidal Neural Network For Visual Pattern Recognition , 2007, IEEE Transactions on Neural Networks.

[49]  Abdesselam Bouzerdoum,et al.  Efficient training algorithms for a class of shunting inhibitory convolutional neural networks , 2005, IEEE Transactions on Neural Networks.

[50]  Martin D. Levine,et al.  Dynamic Measurement of Computer Generated Image Segmentations , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[51]  O. Nelles,et al.  An Introduction to Optimization , 1996, IEEE Antennas and Propagation Magazine.

[52]  John M. Gauch,et al.  Image segmentation and analysis via multiscale gradient watershed hierarchies , 1999, IEEE Trans. Image Process..

[53]  S. Pal,et al.  Segmentation of remotely sensed images with fuzzy thresholding, and quantitative evaluation , 2000 .

[54]  Kenji Suzuki,et al.  Fast connected-component labeling based on sequential local operations in the course of forward raster scan followed by backward raster scan , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[55]  Sankar K. Pal,et al.  Self-organization for object extraction using a multilayer neural network and fuzziness measures , 1993, IEEE Trans. Fuzzy Syst..

[56]  Hugo Guterman,et al.  An adaptive neuro-fuzzy system for automatic image segmentation and edge detection , 2002, IEEE Trans. Fuzzy Syst..