---
title: "Feature Selection in Colour Images for Token Matching"
authors:
  - "Leonie S. Dreschler-Fischer"
  - "Frank Gnutzmann"
doi: ""
url: "https://ijcai.org/proceedings/1987/151"
pdf: "https://ijcai.org/proceedings/1987/0151.pdf"
venue: "Proceedings of the Tenth International Joint Conference on Artificial Intelligence"
year: 1987
pages: "749-750"
track: "Perception"
keywords:
---

# Feature Selection in Colour Images for Token Matching

Leonie S. Dreschler-Fischer, Frank Gnutzmann

*Proceedings of the Tenth International Joint Conference on Artificial Intelligence*, pages 749-750.

## Abstract

We are currently developing an algorithm for knowledge-based correspondence analysis in dynamic stereo images. In this paper we describe the feature selection algorithms and the relational data structure used for matching. We also present a clustering algorithm that is used to group the tokens into sets of similar tokens. The matching algorithm uses this classification information to plan a matching strategy. The least ambiguous image features are matched first and are used as a 'handle' for constraint propagation. We present two algorithms for feature selection in colour images - a region grower and an interest operator, as well as experimental results for point classification and region classification.