Automated systems and methods for testing infrared cameras

Television – Responsive to nonvisible energy – Infrared

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C382S266000, C382S141000, C382S199000

Reexamination Certificate

active

08004564

ABSTRACT:
Systems and methods are disclosed herein to provide automated testing on infrared image data to detect image quality defects. For example, in accordance with an embodiment of the present invention, image processing algorithms are disclosed to generate an image quality metric that may be compared to one or more thresholds to perform an automated test for image quality defects. For example, the image quality metric may be compared to two thresholds to determine if the corresponding infrared sensor or infrared camera is defective or not due to image quality or requires further manual inspection by test personnel.

REFERENCES:
patent: 6373992 (2002-04-01), Nagao
patent: 7308153 (2007-12-01), Wang
patent: 2004/0037457 (2004-02-01), Wengender et al.
patent: 2005/0178130 (2005-08-01), Van Gilder et al.
patent: 2005/0238234 (2005-10-01), Lin
Cressie, N.A., Statistics for Spatial Data, John Wiley & Sons, New York, ISBN: 0 471 00255 0, 1993, 15 pages.
Canny, J.F., A computational approach to edge detection, IEEE Transaction on Pattern Analysis and Machine Intelligence, 1986, vol. 8, No. 6, pp. 679-698.
Beaudet, P.R., Rotational Invariant Image Operators, Int'l Joint Conf. Pattern Recognition, 1978, pp. 579-583.
Fang, J.Q., and Huang, T.S., A Corner Finding Algorithm for Image Analysis and Registration, Proc. AAAI Conf., 1982, pp. 46-49.
Harris, C.G., Determination of Ego-Motion From Matched Points, Proc. Alvey Vision Conf., Cambridge, UK, 1987, pp. 189-192.
Zuniga, O.A. and Haralick, R.M., Corner Detection Using the Facet Model, Proc. Conf. Pattern Recognition and Image Processing, 1983, pp. 30-37.
Dreschler, L., and Nagel, H. H., Volumetric Model and 3D Trajectory of a Moving Car Derived From Monocular TV Frame Sequences of a Street Scene, Int'l Joint Conf. Artificial Intelligence, 1981, pp. 692-697.
Arrebola, F., A. Bandera, P. Camacho, and F. Sandoval, Corner Detection by Local Histograms of Contour Chain Code, Electronic Letters, 1997, vol. 33, No. 21, pp. 1769-1771.
Chen, W.C., and Rockett, P., Bayesian Labelling of Corners Using a grey-Level Corner Image Model, IEEE Int'l Conf. Image Processing, 1997, vol. 1, pp. 687-690.
Davies, E.R., Application of the Generalized Hough Transform to Corner Detection, IEE Proc., 1988, vol. 135, pp. 49-54.
Grigorescu, C, Petkov, N., and Westenberg, M.A., Contour and boundary detection improved by surround suppression of texture edges, Image and Vision Computing, 2004, v. 22, pp. 609-622.
Ji, Q and Haralick, R.M., Corner Detection With Covariance Propagation, Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1997, pp. 362-367.
Kitchen, L and Rosenfeld, A., Gray Level Corner Detection, Pattern Recognition Letters, 1982, pp. 95-102.
Kohlmann, K., Corner Detection in Natural Images Based on the 2-D Hilbert Transform, Signal Processing, 1996, vol., 48, No. 3, pp. 225-234.
Lai, K.K. and Wu, P.S.Y., Effective Edge-Corner Detection Method for Defected Images, Proc. Int'l Conf. Signal Processing, 996, vol. 2, pp. 1151-1154.
Lee, K.J. and Bien, Z., Grey-Level Corner Detector Using Fuzzy Logic, Pattern Recognition Letters, 1996, vol. 17, No. 9, pp. 939-950.
Mehrotra, R., Nichani, S., and Ranganathan, N., Corner Detection, Pattern Recognition, 1990, vol. 23, No. 11, pp. 1223-1233.
Mokhtarian, F and Suomela, R., Robust Image Corner Detection Through Curvature Scale Space, IEEE Transactions on Pattern Analysis and Machine Intelligence, Dec. 1998, vol. 20, No. 12, pp. 1376-1381.
Mokhtarian, F. and Mackworth, A.K., A Theory of Multscale, Curvature-Based Shape Representation for Planar Curves, IEEE Trans. Pattern Analysis and Machine Intelligence, Aug. 1992, vol. 14, No. 8, pp. 789-805.
Mokhtarian, F. and Suomela, R., Curvature Scale Space for Robust Image Corner Detection, Int'l Conf. Pattern Recognition, 1998, Brisba, Australia, 3 pages.
Nassif, S, Capson, D., and Vaz, A., Robust Real-Time Corner Location Measurement, Proc. IEEE Conf. Instrumentation and Measurement Technology, 1997, pp. 106-111.
Noble, A., Finding Corners, Image and Vision Computing, 1998, vol. 6, pp. 121-128.
Orange, C.M. and Groen, F.C.A., Model Based Corner Detection, Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1993, pp. 690-691.
Paler, K., Foglein, J., Illingworth, J., and Kittler, J., Local Ordered Grey Levels as an Aid to Corner Detection, Pattern Recognition, 1984, vol. 17, No. 5, pp. 535-543.
Press, W.H., Teukolsy, S.A., Vetterling, W.T., and Flannery, B.P., Numerical Recipes in C: The Art of Scientific Computer, Second Edition, Cambridge University Press, New York, 1992, ISBN: 0 521 43108 5, 13 pages.
Press, W.H., Teukolsy, S.A., Vetterling, W.T., and Flannery, B.P., License Information, Numerical Recipes in C: The Art of Scientific Computer, Second Edition, Cambridge University Press, New York, 1992, ISBN: 0 521 43108 5, 3 pages.
Press, W.H., Teukolsy, S.A., Vetterling, W.T., and Flannery, B.P., 2.1 Gauss-Jordan Elimination, Numerical Recipes in C: The Art of Scientific Computer, Second Edition, Cambridge University Press, New York, 1992, ISBN: 0 521 43108 5, pp. 36-41.
Press, W.H., Teukolsy, S.A., Vetterling, W.T., and Flannery, B.P., 7.1 Uniform Deviates, Numerical Recipes in C: The Art of Scientific Computer, Second Edition, Cambridge University Press, New York, 1992, ISBN: 0 521 43108 5, pp. 275-287.
Press, W.H., Teukolsy, S.A., Vetterling, W.T., and Flannery, B.P., 8.4 Indexing and Ranking, Numerical Recipes in C: The Art of Scientific Computer, Second Edition, Cambridge University Press, New York, 1992, ISBN: 0 521 43108 5, pp. 338-341.
Press, W.H., Teukolsy, S.A., Vetterling, W.T., and Flannery, B.P., 8.5 Selecting the Mth Largest, Numerical Recipes in C: The Art of Scientific Computer, Second Edition, Cambridge University Press, New York, 1992, ISBN: 0 521 43108 5, pp. 341-456.
Press, W.H., Teukolsy, S.A., Vetterling, W.T., and Flannery, B.P., 12.2 Fast Fourier Transform (FFT), Numerical Recipes in C: The Art of Scientific Computer, Second Edition, Cambridge University Press, New York, 1992, ISBN: 0 521 43108 5, pp. 504-510.
Press, W.H., Teukolsy, S.A., Vetterling, W.T., and Flannery, B.P., 12.3 FFT of Real Functions, Sine and Cosine Transforms, Numerical Recipes in C: The Art of Scientific Computer, Second Edition, Cambridge University Press, New York, 1992, ISBN: 0 521 43108 5, pp. 510-521.
Press, W.H., Teukolsy, S.A., Vetterling, W.T., and Flannery, B.P., 13.1 Convolution and Deconvolution Using the FFT, Numerical Recipes in C: The Art of Scientific Computer, Second Edition, Cambridge University Press, New York, 1992, ISBN: 0 521 43108 5, pp. 538-545.
Press, W.H., Teukolsy, S.A., Vetterling, W.T., and Flannery, B.P., 15.4 General Linear Least Squares, Numerical Recipes in C: The Art of Scientific Computer, Second Edition, Cambridge University Press, New York, 1992, ISBN: 0 521 43108 5, pp. 671-680.
Press, W.H., Teukolsy, S.A., Vetterling, W.T., and Flannery, B.P., 15.5 Nonlinear Models, Numerical Recipes in C: The Art of Scientific Computer, Second Edition, Cambridge University Press, New York, 1992, ISBN: 0 521 43108 5, pp. 681-689.
Rangarajan, K., Shah, M. and Van Brackle, D., Optimal Corner Detector, Computer Vision, Graphics, and Image Processing, 1989, vol. 48, pp. 90-94.
Shilat, E., Werman, M., and Gdalyahu, Y., Ridge's Corner Detection and Correspondence, Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1997, pp. 976-981.
Smith, S.M., and Brady, J.M., Susan—A New Approach to Low Level Image Processing, Defense Research Agency, Technical Report No. TR95SMS1, Farnborough, England, 1994, pp. 45-78.
Sohn, Kwanghoon, Kim, Jung H., and Alexander, Winser E., Mean Field Annealing Approach to Robust Corner Detection, IEEE Trans. Systems, Man, and Cybernetics, 1998, vol. 28B, No. 1, pp. 82-90.
Trajkovic, Miroslav and Hedley, Mark, Fast Corner Detection, Image and Vision Computing, 1998, vol. 16, No. 2, pp. 75-87.
Tsai, D.M., Boundary Based Corner Detection Using Neural Networks, Pattern Recognition, 1998, vol. 30, No. 1, pp. 85-97.
Wang, H. and Brady, H., A Practical Solution to Corner Detection, Proc. Int'l Conf. Image Processing, 19

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

Automated systems and methods for testing infrared cameras does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Automated systems and methods for testing infrared cameras, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automated systems and methods for testing infrared cameras will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2706209

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