DOCUMENT IMAGE SEGMENTATION BASED ON PIXEL CLASSIFICATION

Patent №

US 9,715,624

Granted

2017-07-25

Filed 2016

Owner

KONICA MINOLTA LABORATORY U.S.A., INC.

Lab

AI components

2

vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15084353

In a document image segmentation method, pixels of the image are classified into different types such as background, text, table, etc., to generate an initial segmentation map. The initial segmentation map is processed multiple rounds. In each round, a working map is divided into 2×2 pixel blocks; based on pixel types in the block, a corresponding pixel in a combined map is assigned a type, and pixels in a corresponding block in the segmentation map are modified either to change some background pixels to other types or keep them unchanged. The initial segmentation map is used as the working map in the first round, and the combined map of the last round is used as the working map for the next round. After a number of rounds, remaining background pixels of the segmentation map are changed to other types based on the types of their neighboring areas.

VisionAI hardwareG06T 7/11G06V 30/413G06T 2207/20021G06T 2207/30176

AI classification

Vision1.00
AI hardware1.00
Machine learning0.04
Knowledge representation0.00
Evolutionary computation0.00
Speech0.00
Natural language0.00
Planning0.00

Ownership

KONICA MINOLTA LABORATORY U.S.A., INC.

assignment · 381280539

Assignors

FANG, GANG

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC