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Abstract:
This paper presents a method of deriving moment invariants under similarity transformation. The invariants sets are algebraically independent and complete. The method can be adopted for arbitrary dimension and order. This paper also presents some explicit formulas for computing invariant sets' dimension, which reveals how the number of invariants increases with moments' order and dimension elevating. (C) 2015 Elsevier Ltd. All rights reserved.
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PATTERN RECOGNITION
ISSN: 0031-3203
Year: 2015
Issue: 11
Volume: 48
Page: 3641-3651
8 . 0 0 0
JCR@2022
ESI Discipline: ENGINEERING;
ESI HC Threshold:174
JCR Journal Grade:1
CAS Journal Grade:2
Cited Count:
WoS CC Cited Count: 7
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 1
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