Method of image binarization using histogram modeling

Details Method of image binarization using histogram modeling Method of image binarization using histogram modeling

2005-09-06

2005-09-06

Mehta, Bhavesh M. (Department: 2625)

Image analysis

Histogram processing

C382S176000, C382S237000, C382S251000, C358S462000, C345S610000

Reexamination Certificate

active

06941013

ABSTRACT:
Method of image binarization using histogram modeling, which combines spatial resolution expansion with binarization in a single integrated process using a combination of spatial expansion, histogram modeling, classification, and quantization. Each pixel of the input image is expanded into a higher resolution image, and a count of the number of times each distinct gray scale intensity value occurs in the input image is calculated from pixel values of the input image and then modeled with an approximate histogram that is computed as the sum of weighted modeling functions. The input pixel values are then classified using the modeling functions and the results of the pixel classification are used to quantize the high resolution gray scale image to create a binary output image.

REFERENCES:
patent: 6577762 (2003-06-01), Seeger et al.
patent: 6876760 (2005-04-01), Vaisberg et al.
Taxt et al., “Segmentation of Document Images,” IEEE T. Pattern Analysis & Machine Intelligence, vol. 11, No. 12, Dec. 1989, pp. 1322-1329.
Sahoo et al. “Threshold Selection Based on Histogram Modeling,” IEEE Int'l Conf. on Systems, Man and Cybernetics, vol. 1, □□ Oct. 18-21, 1992, pp. 351-356.

Affiliated with

Also associated with

Rating

Method of image binarization using histogram modeling 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 of image binarization using histogram modeling, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method of image binarization using histogram modeling will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3372133