Optimal snake-based segmentation of a random luminance target on a spatially disjoint background

被引：60

作者：

Germain, O

Refregier, P

机构：

[1] Laboratoire Signal et Image, Ecl. Natl. Sup. Phys. de Marseille, Domn. Univ. de S.-Jerome

来源：

OPTICS LETTERS | 1996年 / 21卷 / 22期

关键词：

D O I：

10.1364/OL.21.001845

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We describe a segmentation processor that is optimal for tracking the shape of a target with random white Gaussian intensity appearing on a random white Gaussian spatially disjoint background. This algorithm, based on an active contours model (snakes), consists of correlations of binary reference's with preprocessed versions of the scene image. This result can provide a practical method to adapt the reference image to correlation techniques. (C) 1996 Optical Society of America

引用

页码：1845 / 1847

页数：3

共 9 条

[1] USING CANNY CRITERIA TO DERIVE A RECURSIVELY IMPLEMENTED OPTIMAL EDGE DETECTOR
DERICHE, R
[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 1987, 1 (02) : 167 - 187
[2] OPTIMAL TRADE-OFF DISTORTION-TOLERANT CONSTRAINED-MODULATION CORRELATION FILTERS
FLANNERY, DL
[J]. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1995, 12 (01): : 66 - 72
[3] Optimal detection of a target with random gray levels on a spatially disjoint background noise
Goudail, F
Refregier, P
[J]. OPTICS LETTERS, 1996, 21 (07) : 495 - 497
[4] SNAKES - ACTIVE CONTOUR MODELS
KASS, M
WITKIN, A
TERZOPOULOS, D
[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 1987, 1 (04) : 321 - 331
[5] KERVRANN C, 1994, 1994 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, P724, DOI 10.1109/CVPR.1994.323887
[6] TUTORIAL SURVEY OF COMPOSITE FILTER DESIGNS FOR OPTICAL CORRELATORS
KUMAR, BVKV
[J]. APPLIED OPTICS, 1992, 31 (23) : 4773 - 4801
[7] REFREGIER P, 1994, OPT LETT, V19, P405
[8] RONFARD R, 1994, COMPUT VISION, V2, P229
[9] VANDERLUGT A, 1964, IEEE T INFORM THEORY, V10, P139

← 1 →