IMAGE REPRESENTATION USING TREE-LIKE STRUCTURES

Patent №

US 5,740,280

Granted

1998-04-14

Filed 1993

Owner

Lab

AI components

2

vision · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

08131261

An image, having N dimensions, is partitioned into a set of bounded arbitrarily shaped regions. This partitioning is achieved through the use of arbitrarily shaped N-1 dimensional surfaces which pass through the boundaries of the image. The arbitrarily shaped regions are represented in the leaf nodes of a binary tree and the arbitrarily shaped surfaces, which are used to partition the image, are represented in the non-leaf nodes of the tree. In a preferred embodiment, arbitrarily oriented lines passing through the image boundaries are employed to partition a two-dimensional image into a set of convex regions. The convex regions are represented in the leaf nodes of a binary tree and the arbitrarily oriented lines, which are used to partition the image, are represented in the non-leaf nodes of the tree. Furthermore, the arbitrarily oriented lines are selected through the use of a Hough transform and the image is partitioned, along the selected lines, in a recursive manner as the binary tree is developed.

VisionAI hardwareG06T 9/40G06V 10/40H04N 19/96H04N 19/20

AI classification

Vision1.00
AI hardware0.99
Machine learning0.03
Planning0.01
Evolutionary computation0.01
Natural language0.01
Knowledge representation0.00
Speech0.00
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