IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Interpretation Using Bayesian Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Classification by Wavelet Packet Signatures
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Neural Network Approach to CSG-Based 3-D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Applying General Regression Neural Network in Digital Image Watermarking
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 05
An Edge Detection Method Based on Optimized BP Neural Network
ISISE '08 Proceedings of the 2008 International Symposium on Information Science and Engieering - Volume 02
Novel Edge Detection Using BP Neural Network Based on Threshold Binarization
ICCEE '09 Proceedings of the 2009 Second International Conference on Computer and Electrical Engineering - Volume 02
A Study of Face Recognition Using the PCA and Error Back-Propagation
IHMSC '10 Proceedings of the 2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 02
Image Compression Using PCA and Improved Technique with MLP Neural Network
ARTCOM '10 Proceedings of the 2010 International Conference on Advances in Recent Technologies in Communication and Computing
Toward a completely automatic neural-network-based human chromosomeanalysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An HVS-Directed Neural-Network-Based Image Resolution Enhancement Scheme for Image Resizing
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Image Processing
Fast road classification and orientation estimation using omni-view images and neural networks
IEEE Transactions on Image Processing
Image compression by self-organized Kohonen map
IEEE Transactions on Neural Networks
Evaluation of convolutional neural networks for visual recognition
IEEE Transactions on Neural Networks
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons
IEEE Transactions on Neural Networks
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This paper reviews the application of artificial neural networks in image preprocessing. Neural networks, especially uses feed-forward neural networks, Kohonen feature maps, back-propagation neural networks, multi-layer perception neural networks and Hopfield neural networks. The various applications are categorized into a novel two-dimensional taxonomy. One dimension specifies the type of task performed by the algorithm, preprocessing, data reduction or feature extraction, segmentation, object recognition, image understanding and optimization. The other dimension captures the abstraction level of the input data processed by the algorithm that is pixel-level, local feature-level, structure-level, object-level, object-set-level and scene characterization. Each of the six types of tasks poses specific constraints to a neural-based approach. A synthesis is made of unresolved problems related to the application of pattern recognition techniques in image processing and specifically to the application of neural networks. By this survey, the paper try to answer what the major strengths and weakness of applying neural networks for image processing would be.