Preparation of a digital image with subsequent edge detection

Details Preparation of a digital image with subsequent edge detection Preparation of a digital image with subsequent edge detection

2008-04-08

2008-04-08

Wu, Jingge (Department: 2624)

Image analysis

Pattern recognition

Feature extraction

C382S264000, C382S266000, C382S274000

Reexamination Certificate

active

07356185

ABSTRACT:
For object recognition, an image is segmented into areas of similar homogeneity at a coarse scale, which are then interpreted as surfaces. Information from different spatial scales and different image features is simultaneously evaluated by exploiting statistical dependencies on their joint appearance. Thereby, the local standard deviation of specific gray levels in the close environment of an observed pixel serves as a measure for local image homogeneity that is used to get an estimate of dominant global object contours. This information is then used to mask the original image. Thus, a fine-detailed edge detection is only applied to those parts of an image where global contours exist. After that, said edges are subject to an orientation detection. Moreover, noise and small details can be suppressed, thereby contributing to the robustness of object recognition.

REFERENCES:
patent: 4571635 (1986-02-01), Mahmoodi et al.
patent: 5081692 (1992-01-01), Kwon et al.
patent: 6198089 (2001-03-01), Shi
patent: 0 357 842 (1990-03-01), None
patent: PCT WO 99/28853 (1999-06-01), None
Image Enhancement via Adaptive Unsharp Masking, Polesel et al., Mar. 2000, IEEE, pp. 505-510.
Ahuja, Narendra et al., “Neighbor Gray Levels as Features in Pixel Classification”, Pattern Recognition, Nov. 14, 1979, vol. 12, Pergamon Press, Ltd., Great Britain.
Chan, Francis H.Y. et al, “Adaptive Thresholding by Variational Method”, IEEE Transactions on Image Processing, Mar. 1998, pp. 468-473, vol. 7, No. 3.
Goerick, Christian et al., “Local Orientation Coding and Neural Network Classifiers with an Application to Real Time Car Detection and Tracking”, Proceedings of the 16thSymposium on the DAGM and the 19thWorkshop of the OAGM, Springer-Verlag, 1994.
Kalinke, Thomas, “Entropie als maβ des lokalen Informationsgehalts in Bildern zur Realisierung einer Aufmerksamkeitssteuerung”, Internal Report 96-0.7, Institut fur Neuroinformatic der Ruhr-Universitat Bochum, 1996, pp. 627-634, Springer-Verlag, Berlin/Heidelberg.
Li, Liyuan et al., “Gray-Level Image Thresholding Based on Fisher Linear Projection of Two-Dimensional Histogram”, Pattern Recognition, 1997, pp. 743-749, vol. 30, No. 5, Elsevier Science Ltd., Great Britain.
Perkins, W.A., “Area Segmentation of Images Using Edge Points”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Jan. 1980, pp. 8-15.
Prager, John M., “Extracting and Labeling Boundary Segments in Natural Scenes”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Jan. 1980, pp. 16-26, vol. PAMI-2, No. 1.
European Search Report, European Application No. 02014189, Sep. 5, 2003, 3 pages.
Stein, R.A., Boyd, J.E., “Evaluation of the Variance Function for Edge Enhancement in Multidimensional Data”, IEEE Proceedings ISCAS, 1988, pp. 2553-2556.
Bezdek, James C., et al., “A Geometric Approach to Edge Detection”, IEEE Transactions on Fuzzy Systems, vol. 6, No. 1, XP-000734649, Feb. 1, 1988, pp. 52-75.

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