Efficient and accurate computation of geometric moments on gray-scale images

被引：42
|
作者：
Papakostas, G. A. [1 ]
Karakasis, E. G. [2 ]
Koulouriotis, D. E. [2 ]
机构：
[1] Democritus Univ Thrace, Dept Elect & Comp Engn, Xanthi 67100, Hellas, Greece
[2] Democritus Univ Thrace, Dept Prod Engn & Management, Xanthi 67100, Hellas, Greece
来源：
PATTERN RECOGNITION | 2008年 / 41卷 / 06期
关键词：
geometric moments; image block representation; feature extraction;
D O I：
10.1016/j.patcog.2007.11.015
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel algorithm that permits the fast and accurate computation of geometric moments on gray-scale images is presented in this paper. The proposed algorithm constitutes an extension of the IBR algorithm, introduced in the past, which was applicable only for binary images. A new image representation scheme, the ISR (intensity slice representation), which represents a gray-scale image as an expansion of several two-level images of different intensity values, enables the partially application of the IBR algorithm to each image component. Moreover, using the resulted set of image blocks, the geometric moments' computation can be accelerated through appropriate computation schemes. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1895 / 1904
页数：10
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