Image analysis – Pattern recognition – Feature extraction
Patent
1994-12-05
2000-05-02
Couso, Yon J.
Image analysis
Pattern recognition
Feature extraction
382133, 382286, G06K 946
Patent
active
06058209&
ABSTRACT:
When identifying an object in an image, very often redundant identifications of the object may occur. The present invention relates to methods of image analysis for resolving such redundant identifications of an object. More specifically, the present invention relates to object identification schemes which obtain multiple representations of the same object. In addition, such identification schemes may identify void, or donut-shaped objects when a single search, or multiples searches, of the image are performed. Further, the present invention is useful in resolving several distinct objects where other identification schemes employing either single or multiple searching have identified these distinct objects as a single clumped object. The present invention may be used, for instance, to determine whether a smaller object is contained within another, larger object.
REFERENCES:
patent: 3736432 (1973-05-01), Sweet
patent: 3811036 (1974-05-01), Perry
patent: 3873974 (1975-03-01), Bouton et al.
patent: 3999047 (1976-12-01), Green
patent: 4097845 (1978-06-01), Bacus
patent: 4183013 (1980-01-01), Agrawala
patent: 4334274 (1982-06-01), Agui et al.
patent: 4453266 (1984-06-01), Bacus
patent: 4493105 (1985-01-01), Beall et al.
patent: 4618989 (1986-10-01), Tsukune et al.
patent: 4637053 (1987-01-01), Schalkowsky
patent: 4718090 (1988-01-01), Cooper, Jr.
patent: 4747153 (1988-05-01), Kouno et al.
patent: 4763119 (1988-08-01), Matsubara et al.
patent: 4809349 (1989-02-01), Herby et al.
patent: 4958217 (1990-09-01), Kimura et al.
patent: 4959869 (1990-09-01), Hongo
patent: 4998211 (1991-03-01), Hamada et al.
patent: 5029106 (1991-07-01), Kai et al.
patent: 5038385 (1991-08-01), Kasahara
patent: 5046118 (1991-09-01), Ajewole et al.
patent: 5073960 (1991-12-01), Nakai et al.
patent: 5083313 (1992-01-01), Reinsch
patent: 5138671 (1992-08-01), Yokoyama
patent: 5220620 (1993-06-01), Nakano et al.
patent: 5457754 (1995-10-01), Han et al.
Whitcomb et al., Adaptive Image Analysis For Object Recognition Part II--Redundant Object Resolution, IEEE, vol. 2, pp. 1892-1898, 1995.
Couch et al., Analysis of Images of Colonies of Tissue Culture Cells and Microorganisms, Proc. Pateern Recognition and Image Processing, pp. 473-8, Aug. 1979.
Marr, D, "Early Processing of Visual Information", Image Understanding, eds. Ullman and W. Richards, Ablex Publishing Company, 1984.
Shannon, C.E.,"A Mathematical Theory of Communication", Bell Syst. Tech. J., 27, 379-423, Jul. 1948.
Pun, T., "Entropic Thresholding, A New Approach", Comp. Graphics and Image Proc., 16, 210-239, 1981.
Kapur, J.N. et al,. "A New Method for Gray-Level Picture Thresholding Using the Entropy of the Histogram", Comp. Graphics and Image Proc., 29, 273-285, 1985.
Pal, S.K. et al, "Entropic Thresholding", Signal Processing, 16, 97-108, 1989.
Haralick, R.M. et al, "Textural Features for Image Classification", IEEE Transactions on Systems, Man & Cybernetics, SMC-3(6), 610-621, 1973.
Wang, S. et al, "Automatic Multithreshold Selection", Computer Vision Graphics and Image Processing, 25, 46-67, 1984.
Fernandes, M.A. et al, "Detection and Quantification of Microorganisms in a Heterogeneous Foodstuff by Image Analysis", Cabios, 4(2), 291-295, 1988.
Johannsen, G. et al, "A Threshold Selection Method Using Information Measures", Proc. 6th Int. Conf. on Pattern Recognition, 1982.
Sahoo, P.K. et al, "A Survey of Thresholding Techniques", Computer Vision, Graphics and Image Processing, 41, 233-260, 1988.
Abutaleb, A.S. , "Automatic Thresholding of Grey-Level Pictures Using Two Dimensional Entropy", Computer Vision, Graphics and Image Processing, 47, 22-32, 1989.
Lee, S.U. et al, "A Comparative Performance Study of Several Global Thresholding Techniques for Segmentation", Computer Vision, Graphics, and Image Processing, 52, 171-190, 1990.
Wong,A.K.C., et al, "A Gray Level Threshold Selection Method Based on Maximum Entropy Principle", IEEE Transactions on System, Man and Cybernetics, 19, 866-871, 1989.
Mehmet Celenk, "A Color Clustering Technique for Image Segmentation", Computer Vision, Graphics and Image Processing, 52, 145-170, 1990.
Miyamoto, S. et al, "Enhancement of Laser Radar Images By A Class of Piecewise Linear Transformations of Gray Levels Based on Entropy Criteria", 1985 IEEE Workshop on Languages for Automation, Jun. 29, 1985, Palma De Mallorca, Spain, 265-269.
Chang, L.W. et al, "A Fast Algorithm for the Restoration of Images Based on Chain Codes Description and Its Applications", Computer Vision, Graphics and Image Processing, 50, 296-307, 1990.
Landeweerd, G.H. et al, "Pattern Recognition of Nucleated Cells from the Peripheral Blood", Pattern Recognition, 16(2), 131-140, 1983.
Freeman, H., "Computer Processing of Line-Drawing Images", Computing Surveys, 6(1), 57-97, Mar. 1974.
Barba et al, "Automatic Region Construction by Edge Detection and Contour Following in Image Segmentation", Proceedings of the Eight Inter. Conf. on Pattern Recog., Paris, France, IEEE Press, 681-683, Oct. 27-31, 1986.
Iwata et al, "A Discrimination Method of the Interior and Exterior of a Closed Curve", System, Computers, Controls, 11(6), 11-20, Nov.-Dec. 1980.
Ali et al, "A New Algorithm for Extracting the Interior of Bounded Regions Based on Chain Coding", Computer Vision, Graphics and Image Processing, 43(2), 256-264, Aug. 1988.
G. Wyszecki and W.S. Stile, "Color Science, Concepts and Methods, Quantitative Data and Formulae", pp. 228-230 (1967).
Vaidyanathan Akhileswar Ganesh
Whitcomb James Arthur
Couso Yon J.
E. I. Du Pont de Nemours and Company
LandOfFree
Method for resolving redundant identifications of an object does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method for resolving redundant identifications of an object, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for resolving redundant identifications of an object will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-1600272