Top down preprocessor for a machine vision system

Image analysis – Pattern recognition – Feature extraction

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

382288, 382295, G06K 936, G06K 946

Patent

active

058704930

ABSTRACT:
An image recognition and classification system includes a preprocessor in which a "top-down" method is used to extract features from an image; an associative learning neural network system, which groups the features into patterns and classifies the patterns: and a feedback mechanism which improves system performance by tuning preprocessor scale, feature detection, and feature selection.

REFERENCES:
patent: 4599693 (1986-07-01), Denenberg
patent: 4958939 (1990-09-01), Samad
patent: 5263107 (1993-11-01), Ueda et al.
"Neocognition: A Hierarchical Neural Network Capable of Visual Pattern Recognition," K. Fukushima, Neural Networks, vol. 1, pp. 119-130, 1988.
"Computer Generation Of Fractional Brownian Noise," Leigh Harrington, ERIM Techical Report #C558301-1-T, Jul. 1988.
"Theory of Communication," Gabor, J. Inst. Elec. Eng., 93:429-459, 1946.
Calway et al. "Curve Extraction in Images using the Multiresolutional Fourier Transform." ICASSP 90, vol. 4, pp. 2129-2132, Apr. 1990.
Calway, "Image Analysis using a Generalized Wavelet Transform," IEE Colloquim on Applications of Wavelet Transforms in Image Processing, four pages, Jan. 1993.
Manjunath et al. "A Computational Approach to Boundary Detection." Proceedings 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recogntion, pp. 358-363, Jun. 1991.
Chang et al. "A Wavelet Transform Approach to Texture Analysis." ICASSP 92, vol. 4, pp. 661-664, Mar. 1992.
Meystel et al. "Top-down/bottom-up Algorithm for Adaptive Multiresolutional Representation of Gray-Level Images." Proceedings of SPIE, vol. 1904, pp. 70-84, Feb. 1993.
Jolion, "A Hierarchical Framework for Robust Extraction and Delineation of Geometric Features." Pattern Recognition. vol. 26, No. 9, 1993, pp. 1295-1304.
Viard-Gaudin et al. "A Multi-Resolution Approach to Extract the Address Block on Flat Mail Pieces". ICASSP '91, vol. 4, Apr. 1991, pp. 2701-2704.
Neural Networks, vol. 2, No, 1, 1989 Elmsford, NY, USA, Michael Seibert and Allen M. Waxman, `Spreading Activation Layers . . . Recognition Systems`, pp. 22-23.
1993 IEEE International Conference on Neural Networks, San Francisco, CA, USA, 28 Mar. 1993, pp. 399-406, Keiji Yamada, Inverse Recall . . . Pattern Recognition.
Proceedings of the International Joint Conference on Neural Network (IJCNN), Seattle, WA, USA, Jul. 8-12, 1991, vol. 1, 8, Jul. 1991, Inst. of Electronics Engineers, pp. 695-700, `Methods for Enhancing Neural Network Handwritten Character Recognition`.
IJCNN Intl. Joint Conference on Neural Networks, vol. 3, 7 Jun. 1992, Baltimore, MD, USA, pp. 760-768, Sukhan Lee and Yeongwoo Choi, `Robust Recognition of Handwritten Numerals . . . Cooperative Network`.
Pattern Recognition, vol. 25, No. 6, Jun. 1992, pp. 655-666. Blackwell, et al., `A New Approach to Hand-Written Character Recognition`.
IEEE Transactions on Systems, Man and Cybernetics, vol. 23, No. 6, Nov. 1993-Dec. 1993,, NY, NY, USA, pp. 1672-1682, G.W. Rogers et al., A Self Organizing Network . . . Conditional Class Probability.
Fukushima "Neocognition: A Hierarchal Neural Network Capable Of Visual . . . ", Neural Networks, 1:119-30, 1988.
Gabor "Theory of Communications", J. Inst. Elec. Eng., 93:429-59, 1946.
Harrington "Computer-Generation of Fractional Brownian Noise", ERIM Technical Report, No. c58501-1-T, 1989.
Rosenfeld, "Multiresolution Image Processing And Analysis", Springer-Verlag, Berlin, (1984) Table of Contents only.
Alkon et al., "Biological Plausability Of Artificial Neural Networks: Learning By Non-Hebbian Synapses", Biological And Psychological Connections, pp. 31-49, (1993).
Daugman, "Uncertainty Relation For Resolution In Space, Spatial Frequency, And Orientation Optimized By Two-Dimensional Visual Cortical Filters", J. Opt. Soc. Am., vol. 2:1160-1169, (1985).
Desimone, "Face-Selective Cells in The Temporal Cortex Of Monkeys", Journal Of Cognitive Neuroscience, vol. 3:1-8, (1991).
Funahashi et al., "Dorsolateral Prefrontal Lesions And Oculomotor Delayed-Response Performance: Evidence For Mnemonic Scotomas", The Journal of Neuroscience, vol. 13:1479-1497, (1993).
Gilbert, "Laminar Differences In Receptive Field Properties Of Cells In Cat Primary Visual Cortex", J. Physiol., vol. 268:391-421, (1977).
Grossberg, "Neural Dynamics Of 1-D and 2-D Brightness Perception: A Unified Model Of Classical And Recent Phenomena", Perception & Psychophysics, vol. 43:241-277, (1988).
Hubel et al., "Receptive Fields, Binocular Interaction And Functional Architecture In The Cat's Visual Cortex", J. Physiol., vol. 160:106-154, (1962).
Hubel et al., "Receptive Fields And Functional Architecture In Two Nonstriate Visual Areas (18 and 19) Of The Cat", J. Neurophysiology, vol. 28:229-289, (1965).
Jones et al., "An Evaluation Of The Two-Dimensional Gabor Filter Model Of Simple Receptive Fields In Cat Striate Cortex", Journal of Neurophysiology, vol. 58:1233-1258, (1987).
Loomis et al., "Similarity Of Tactual And Visual Picture Recognition With Limited Field Of View", Perception, vol. 20:167-177, (1991).
Malik et al., "Preattentive Texture Discrimination With Early Vision Mechanisms", J. Opt. Soc. Am. A, vol. 7:923-932, (1990).
Pentland, "From Pixels To Predicates", Ablex Publishing Corporation pp. 1-174, (1986).
Porat et al., "Localized Texture Processing In Vision: Analysis And Synthesis In the Gaborian Space", IEEE Transactions On Biomedical Engineering, vol. 36:115-129, (1989).
Wenskay, "Neural Networks: A Prescription For Effective Protection", The Computer Lawyer, vol. 8:12-23, (1991).
Sajda et al., "A Neural Network Model Of Object Segmentation And Feature Binding In Visual Cortex", IEEE, pp. 43-48, (1992).

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Top down preprocessor for a machine vision system does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Top down preprocessor for a machine vision system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Top down preprocessor for a machine vision system will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-1956970

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.