Patent №
US 6,947,597
Granted
2005-09-20
Filed 2001
Owner
XEROX CORPORATION
Lab
—
AI components
3
ml · vision · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
09965880
A method and system for image processing, in conjunction with classification of images between natural pictures and synthetic graphics, using SGLD texture (e.g., variance, bias, skewness, and fitness), color discreteness (e.g., R_L, R_U, and R_V normalized histograms), or edge features (e.g., pixels per detected edge, horizontal edges, and vertical edges) is provided. In another embodiment, a picture/graphics classifier using combinations of SGLD texture, color discreteness, and edge features is provided. In still another embodiment, a “soft” image classifier using combinations of two (2) or more SGLD texture, color discreteness, and edge features is provided. The “soft” classifier uses image features to classify areas of an input image in picture, graphics, or fuzzy classes.
AI classification
Ownership
XEROX CORPORATION
assignment · 125710219
Assignors
LIN, YING-WEI, SHIAU, JENG-NAN, FAN, ZHIGANG, SCHWEID, STUART A., BALA, RAJA
On an employer assignment, the assignors are typically the inventors.