Computer-assisted diagnosis method using correspondence checking and change detection of salient features in digital images
US6453058B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 7, 1999 |
| Grant date | Sep 17, 2002 |
| Priority date | — |
| Expiry date | Jun 7, 2019 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61B6/502
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer assisted diagnosis method using change detection of salient features in a first and a second digital image includes the step of converting the first and the second digital image into a first and a second relational attribute graph, respectively. Each graph comprises nodes and arcs. Each node corresponds to an identified salient feature and associated with information comprising a type and characteristics of the corresponding identified salient feature. The arcs correspond to a topological arrangement of the identified salient features. An optimal inexact structural match is determined between the nodes of the first graph and the nodes of the second graph so as to form matched sets of nodes comprising one node from each graph. A node lacking a determined match is matched with a null node. The characteristics of each of the nodes in a matched set are compared to one another to identify variances among the compared characteristics. A corresponding score is generated for each of the nodes in the matched set based on each of the identified variances. The nodes are identified whose appearances vary more than pre-specified thresholds based on the scores corresponding thereto, a…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.