Masters Theses

Date of Award

8-1988

Degree Type

Thesis

Degree Name

Master of Science

Major

Electrical Engineering

Major Professor

M. A. Abidi

Committee Members

R. C. Gonzalez, M. J. Roberts

Abstract

In this thesis, a new analytic method for the fusion of range and intensity edge maps is presented. This method focuses on the integration of registered information in order to increase one's confidence in the presence/absence of edges in a depicted scene. The algorithm is based on the interaction between two constraints: the principle of existence, which tends to maximize the value of the output edge map at a given location if one input edge map features a strong edge, and the principle of confirmability, which adjusts this value according to the edge content in the other input edge map at the same location by maximizing the similarity between them. The latter two maximizations axe achieved using the Euler-Lagrange Calculus of Variations equations. This method was tested with synthetic range/intensity data. The resulting edge maps combining both range and intensity data satisfy both principles of existence and confirmability.

This method is extended to another type of registered data, namely color edge maps. The range-intensity fusion algorithm is used twice in the frame of its extension to color edge detection. A color component is selected and fused with each of the other two components. This step provides two intermediate edge maps which implicitly contain information about the three color components. These intermediate edge maps are then combined to yield the final color edge map. Experiments were conducted using not only the red, green, and blue representation of color information but also other bases.

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