Intensity texture based classification system and method

Details Intensity texture based classification system and method Intensity texture based classification system and method

1994-06-03

1997-04-29

Couso, Jose L.

Image analysis

Applications

Biomedical applications

382133, G06K 900

Patent

active

056257058

ABSTRACT:
A method for classifying objects within a specimen as likely to be premalignant or malignant cells includes the steps of forming an intensity image of a specimen, calculating and storing the maximum and minimum grey scale values at a plural number of distances from a pixel in the intensity image, finding the difference between the maximum and minimum grey scale values at like distances from the pixel, determining the slope of the log of the differences as a function of the log of the distances, storing the slope at the pixel location in a resultant image, and identifying objects in the intensity image as likely to be malignant or premalignant based on the value of the slope.

REFERENCES:
patent: 4207554 (1980-06-01), Resnick et al.
patent: 4618937 (1986-10-01), Elias et al.
patent: 4661913 (1987-04-01), Wu et al.
patent: 4853777 (1989-08-01), Hupp
patent: 4965725 (1990-10-01), Rutenberg
patent: 5103306 (1992-04-01), Weiman et al.
patent: 5107422 (1992-04-01), Kamentsky et al.
patent: 5117293 (1992-05-01), Asada et al.
patent: 5194949 (1993-03-01), Poulsen et al.
patent: 5257182 (1993-10-01), Luck et al.
patent: 5287272 (1994-02-01), Rutenberg et al.
patent: 5333207 (1994-07-01), Rutenberg
patent: 5353061 (1994-10-01), Rodriguez et al.
Oldham, W.J.B. et al. "Neural Network Recognition of Mammographic Lesions", 73rd Scientific Assembly and Annual Meeting of the Radiological Society of North America, Nov. 1987.

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