ADAPTIVE VISION SYSTEM

Patent №

US 5,481,620

Granted

1996-01-02

Filed 1991

Owner

E. I. DU PONT DE NEMOURS AND COMPANY A CORPORATION OF DE

Lab

AI components

2

ml · vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

07767339

The present invention relates to image analysis methods and systems for identifying objects in a background by generating a description, which may be either a histogram or co-occurrence matrix, of the gray level space of the image by using an entropic kernel to recursively analyze the gray level space for candidate objects and validating the presence of valid objects by comparing the candidate object attribute values to a defined set of valid object attribute values contained in a driver. The present invention includes recursive, iterative and parallel processing methods. The methods may be used in a wide variety of industrial inspection techniques, including colony counting and the identification of discrete features in carpets and of pigment elements embedded in a polymer.

Machine learningVisionG06T 11/40G06T 7/0012G06T 7/11G06T 7/136G06T 9/20G06V 10/46G06V 20/695G06T 2207/30024+1 more

AI classification

Vision1.00
Machine learning1.00
AI hardware0.41
Planning0.04
Knowledge representation0.00
Speech0.00
Natural language0.00
Evolutionary computation0.00

Ownership

E. I. DU PONT DE NEMOURS AND COMPANY A CORPORATION OF DE

assignment · 60360961

Assignors

VAIDYANATHAN, AKHILESWAR G.

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

© 2026 NYSGPT2525 LLC