Texture discrimination method

Details Texture discrimination method Texture discrimination method

1994-06-21

1995-09-05

Boudreau, Leo H.

Image analysis

Image segmentation

Distinguishing text from other regions

382171, 382271, G06K 934

Patent

active

054486513

ABSTRACT:
To reliably discriminate the characters only from the headlines having any background textures, the present invention analyzes the projection profile of a grey image in a headline area in order to automatically set a learning area A in the area of background texture only of the periphery in the headline area, and set a learning area B in the area that includes background texture of a central portion and characters; determines a discriminant function having, as variables, characteristics that use a plurality of pixel densities in the vicinity of a pixel which is processed so that output values of the discriminant function at each of the positions in the learning area A forms a profile with an average Va, that the output values at each of the positions in the learning area B forms a profile with an average Vb, and that the sum of dispersion values of the two profiles becomes smaller than a predetermined value, in order to discriminate in which area is included the pixel which is processed in the headline area; and determines in which area of the background pattern or the characters the pixel is included depending upon whether the output value of the discriminant function is close to the value Va or to the value Vb for each of the pixels in the headline area, in order to discriminate the headline area into areas.

REFERENCES:
patent: 4339745 (1982-07-01), Barber et al.
patent: 4408181 (1983-10-01), Nakayama
patent: 4550435 (1985-10-01), Hayman
patent: 4574395 (1986-03-01), Kato
patent: 4769849 (1988-09-01), Alsing
patent: 5048096 (1991-09-01), Beato
patent: 5065444 (1991-11-01), Garber
patent: 5073953 (1991-12-01), Westdijk
Proc. of the 1st Int. Conference on Computer Vision, Jun. 8, 1987, London, GB, pp. 439-443; W. E. Blanz et al: "Control-free low-level image segmentation: theory, architecture, and experimentation".
Electronics and Communications in Japan; vol. 71, No. 6, Jun. 1988, Silver Spring, Md., US; pp. 76-85; O. Nakamura et al: "Extraction of photographic area from document images".

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