Optimum rotation-invariant filter for disjoint-noise scenes

被引:4
|
作者
Gualdron, O
Arsenault, HH
机构
[1] Centre d’Optique, Photonique et Laser, Departement de Physique, Université Laval, Ste-Foy, QC
[2] Univeridad Industrial de Santander, Bucamaranga
来源
APPLIED OPTICS | 1996年 / 35卷 / 14期
关键词
invariant pattern recognition; filters; correlation;
D O I
10.1364/AO.35.002507
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
We introduce an optimum matched filter for rotation-invariant pattern recognition in scenes with disjoint noise. The optimum filter maximizes the ratio between the correlation-peak intensity and the correlation-output energy; in order to ensure rotation invariance, we assume the filter to take the form of a circular-harmonic function. The performance of this new filter is tested by computer simulations with a variety of natural and artificial backgrounds. The results obtained from these tests show an excellent performance much better than the classical circular-harmonic function (the filter that maximizes the signal-to-noise ratio while maintaining rotation invariance). (C) 1996 Optical Society of America
引用
收藏
页码:2507 / 2513
页数:7
相关论文
共 50 条
  • [1] Discrimination ability of the optimum circular harmonic filter for disjoint noise scenes
    Gualdron, O
    Arsenault, HH
    OPTICAL PATTERN RECOGNITION VII, 1996, 2752 : 51 - 56
  • [2] Rotation-invariant projection-slice filter
    Riasati, VR
    Banerjee, PP
    Abushagur, MAG
    Gregory, DA
    OPTICAL PATTERN RECOGNITION IX, 1998, 3386 : 231 - 240
  • [3] Rotation-Invariant Nonrigid Point Set Matching in Cluttered Scenes
    Lian, Wei
    Zhang, Lei
    Zhang, David
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 21 (05) : 2786 - 2797
  • [4] ROTATION-INVARIANT OPERATORS ON WHITE-NOISE FUNCTIONALS
    OBATA, N
    MATHEMATISCHE ZEITSCHRIFT, 1992, 210 (01) : 69 - 89
  • [5] Rotation-invariant neoperceptron
    Fasel, Beat
    Gatica-Perez, Daniel
    18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, PROCEEDINGS, 2006, : 336 - +
  • [6] Rotation-invariant neocognitron
    Satoh, Shunji
    Kuroiwa, Jousuke
    Aso, Hirotomo
    Miyake, Shogo
    Systems and Computers in Japan, 1999, 30 (04) : 31 - 40
  • [7] Rotation-invariant synthetic discriminant function filter for pattern recognition
    Riasati, VR
    Banerjee, PP
    Abushagur, MAG
    Howell, KB
    OPTICAL ENGINEERING, 2000, 39 (05) : 1156 - 1161
  • [8] Wavelet GRI-MINACE filter for rotation-invariant pattern recognition
    Lee, HW
    Kim, SJ
    Kim, JW
    Doh, YH
    WAVELET APPLICATIONS III, 1996, 2762 : 343 - 352
  • [9] Rotation-invariant texture classification using steerable Gabor filter bank
    Pan, W
    Bui, TD
    Suen, CY
    IMAGE ANALYSIS AND RECOGNITION, 2005, 3656 : 746 - 753
  • [10] ROTATION-INVARIANT PATTERN-RECOGNITION USING OPTIMUM FEATURE-EXTRACTION
    WU, R
    STARK, H
    APPLIED OPTICS, 1985, 24 (02): : 179 - 184