Image Representation Using 2D Gabor Wavelets
IEEE Transactions on Pattern Analysis and Machine Intelligence
A review of biologically motivated space-variant data reduction models for robotic vision
Computer Vision and Image Understanding
Morphogenic neural networks encode abstract rules by data
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent information systems and applications
Comparison of Texture Features Based on Gabor Filters
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
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Hopfield network requires that state vectors of images to be orthogonal to eliminate cross-talk. In practical sense, it cannot be achieved. A solution is to orthogonalize the state vectors with each other as a pre-processing. The QMS (Quantum Morphogenetic System) is a mathematical model devised to give a different more elegant and intuitive perspective of the pre-processing by assuming a non-Euclidean geometry. Input image is projected to the feature vector in terms of its contra-variant components which are interdependent. Image reconstruction is achieved by parallelogram summation of the vector of those components. Besides, an extension to Holonomic brain model and tensor network theory is discussed.