Morphological scale-space in image processing

被引:18
作者
Bosworth, JH [1 ]
Acton, ST [1 ]
机构
[1] Univ Virginia, Dept Elect Engn, Charlottesville, VA 22904 USA
关键词
non-linear filters; scale-space; morphology;
D O I
10.1016/S1051-2004(02)00033-7
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 [电气工程]; 0809 [电子科学与技术];
摘要
The purpose of this paper is twofold. First, we provide an extensive review of the state-of-the-art in scale-space generation techniques for image processing, including linear methods, diffusion-based methods, and emphasizing morphological methods. Then, we introduce a new morphological approach to scale-space, called the lomo scale-space. The technique introduces a novel two-dimensional generalization of the concept of locally monotonic (lomo) signals. The lomo scale-space is a sequence of locally monotonic image representations where the scale is specified by the spatial extent or degree of local monotonicity. The morphological process used to generate the lomo scale-space retains many desirable properties of other morphological methods, such as edge localization and smoothing of extrema. In contrast to previous morphological scale-space methods, the filters employed here are self-dual, and thus do not induce a gray-level bias into the scaled signal representations. The scale-space methods reviewed and introduced in this paper are applicable to several multiscale image processing tasks such as segmentation, object-based image compression, content-based retrieval, and video tracking. (C) 2002 Elsevier Science (USA). All rights reserved.
引用
收藏
页码:338 / 367
页数:30
相关论文
共 44 条
[1]
ACTON ST, 1999, IMAGE VIDEO PROCESSI
[2]
UNIQUENESS OF THE GAUSSIAN KERNEL FOR SCALE-SPACE FILTERING [J].
BABAUD, J ;
WITKIN, AP ;
BAUDIN, M ;
DUDA, RO .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1986, 8 (01) :26-33
[3]
Morphological scale-space preserving transforms in many dimensions [J].
Bangham, JA ;
Harvey, R ;
Ling, PD ;
Aldridge, RV .
JOURNAL OF ELECTRONIC IMAGING, 1996, 5 (03) :283-299
[4]
Scale-space from nonlinear filters [J].
Bangham, JA ;
Ling, PD ;
Harvey, R .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1996, 18 (05) :520-528
[5]
BOSWORTH J, 1999, P AS C SIGN SYST COM, P53
[6]
STREAKING IN MEDIAN FILTERED IMAGES [J].
BOVIK, AC .
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1987, 35 (04) :493-503
[7]
A MULTISCALING APPROACH BASED ON MORPHOLOGICAL FILTERING [J].
CHEN, MH ;
YAN, PF .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1989, 11 (07) :694-700
[8]
A THEORETICAL-ANALYSIS OF THE PROPERTIES OF MEDIAN FILTERS [J].
GALLAGHER, NC ;
WISE, GL .
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1981, 29 (06) :1136-1141
[9]
Ghosh PK, 1996, COMP IMAG VIS, P7
[10]
Haralick R. M., 1992, COMPUTER ROBOT VISIO, V1