That the pattern feature “width as a function of angle” possesses several possible interpretations is demonstrated in this paper, which is a review of the width concept in pattern recognition and the geometrical concept itself.
The object of the work is to clarify how the word description can be made precise so that computer algorithms for feature extraction may be obtained; the focus is on theoretical subject matter. The results consist of a set-theoretic definition of width-at-angle, a theorem relating it to the pattern boundary radius vector, and descriptions of alternate widths. All widths are calculated for an illustrative example; graphical and tabular comparisons are given. Substantial variation in width-at-angle magnitude is found. The principal conclusion is that the set-theoretic width-at-angle is a useful pattern feature when it can be easily computed. Further investigation of the information contained in only part of a width function is recommended for cases where computation of width-at-angle is difficult.
[1]
R. Ledley,et al.
Chromosome Analysis by Computer
,
1966
.
[2]
Russell C. Serbagi,et al.
HUMAN CHROMOSOME ANALYSIS BY COMPUTER—AN OPTICAL PATTERN RECOGNITION PROBLEM *
,
1966
.
[3]
Azriel Rosenfeld,et al.
Picture Processing by Computer
,
1969,
CSUR.
[4]
Thomas Marill,et al.
Statistical Recognition Functions and the Design of Pattern Recognizers
,
1960,
IRE Trans. Electron. Comput..
[5]
H. Steinhaus.
Length, shape and area
,
1954
.
[6]
Herbert Freeman,et al.
On the Encoding of Arbitrary Geometric Configurations
,
1961,
IRE Trans. Electron. Comput..
[7]
Paul R. Chernoff.
An Area-Width Inequality for Convex Curves
,
1969
.
[8]
H S Frey,et al.
An interactive computer program for chromosome analysis.
,
1969,
Computers and biomedical research, an international journal.
[9]
Theodosios Pavlidis,et al.
Computer Recognition of Figures through Decomposition
,
1968,
Inf. Control..