Data reduction via the wavelet transform for the synthesis of the projection-slice filter

被引:0
|
作者
Riasati, VR [1 ]
Zhou, HY
Chao, TH
Gregory, DA
机构
[1] Univ S Alabama, Mobile, AL 36688 USA
[2] CALTECH, Jet Prop Lab, Adv Comp Technol Grp, Pasadena, CA 91109 USA
[3] Univ Alabama, Dept Phys, Huntsville, AL 35899 USA
关键词
projection-slice filter; wavelet transforms; synthetic discriminant functions; optical pattern recognition;
D O I
10.1117/1.602489
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The projection-slice synthetic discriminant function, which was described earlier, reduces significant portions of the training data in the synthesis process as compared to the normal synthetic discriminant function filters. This enables the matching of particular features of each training image. The wavelet transform is utilized to further reduce the data in the synthesis stage and thereby reduce the data overlap in filters. The method for this type of filter synthesis is discussed and simulation results of the algorithms involved are presented to show that the relative performance of the newly synthesized filter is improved. while the data representing the training images has been reduced. (C) 2000 Society of Photo-Optical Instrumentation Engineers. [S0091-3286(00)01505-1].
引用
收藏
页码:1218 / 1222
页数:5
相关论文
共 50 条
  • [1] Feature extraction with wavelet transforms for implementation of the Projection-Slice filter
    Riasati, VR
    Gregory, DA
    OPTICAL PATTERN RECOGNITION X, 1999, 3715 : 259 - 271
  • [2] Rotation-invariant projection-slice filter
    Riasati, VR
    Banerjee, PP
    Abushagur, MAG
    Gregory, DA
    OPTICAL PATTERN RECOGNITION IX, 1998, 3386 : 231 - 240
  • [3] Clutter rejection via the wavelet transform for improved target detection using the Projection-Slice Synthetic Discriminant Function filters
    Riasati, VR
    Chao, TH
    Zhou, HY
    Gregory, DA
    OPTICAL PATTERN RECOGNITION XI, 2000, 4043 : 175 - 181
  • [4] Robust Sparse Fourier Transform Based on The Fourier Projection-Slice Theorem
    Wang, Shaogang
    Patel, Vishal M.
    Petropulu, Athina
    2018 IEEE RADAR CONFERENCE (RADARCONF18), 2018, : 1427 - 1432
  • [5] Multidimensional Sparse Fourier Transform Based on the Fourier Projection-Slice Theorem
    Wang, Shaogang
    Patel, Vishal M.
    Petropulu, Athina
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2019, 67 (01) : 54 - 69
  • [6] Adaptive grahm-schmidt orthogonalization for the projection-slice synthetic discriminant function filter
    Riasati, Vahid R.
    Grishin, Denis
    DATA MINING, INTRUSION DETECTION, INFORMATION ASSURANCE, AND DATA NETWORKS SECURITY 2007, 2007, 6570
  • [7] Non-linear Sampling For Efficient Implementation Of The Projection-Slice Synthetic Discriminant Function Filter
    Riasati, Vahid R.
    ELECTRO-OPTICAL REMOTE SENSING, PHOTONIC TECHNOLOGIES, AND APPLICATIONS VIII; AND MILITARY APPLICATIONS IN HYPERSPECTRAL IMAGING AND HIGH SPATIAL RESOLUTION SENSING II, 2014, 9250
  • [8] The projection-slice synthetic discriminant function filter feature selection based on maximum energy considerations
    Riasati, VR
    OPTICAL PATTERN RECOGNITION XIV, 2003, 5106 : 106 - 116
  • [9] FPS-SFT: A MULTI-DIMENSIONAL SPARSE FOURIER TRANSFORM BASED ON THE FOURIER PROJECTION-SLICE THEOREM
    Wang, Shaogang
    Patel, Vishal M.
    Petropulu, Athina
    2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2018, : 4729 - 4733
  • [10] AN ADAPTIVE FILTER BASED ON WAVELET TRANSFORM AND AFFINE PROJECTION ALGORITHM
    Wu, Wei-Wei
    Wang, Yan-Song
    Zhang, Jue-Cheng
    PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, 2010, : 392 - 397