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P1: Leaf Classification from Boundary Analysis Author: Anne Jorstad , Advisor: David Jacobs (CS) Problem Statement Presentation Project Proposal Abstract I have developed an algorithm for classifying leaves
based on local analysis of their boundary curves. The wavelet transform
is used to generate a coefficient vector at each boundary point over
several scales. The distributions of these vectors are compared to
determine similarity between leaves. This method is meant to complement
an already-implemented leaf classification system whose decisions rely
entirely on global shape information, and the combined results of the
local and global models are presented.
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