论文信息 - Distortion-invariant pattern recognition based on a synthetic hit-miss transform

Distortion-invariant pattern recognition based on a synthetic hit-miss transform

A new synthetic hit-miss transform (SHMT) algorithm is proposed for distortion-invariant recognition of various objects in noisy and cluttered input images. The proposed SHMT algorithm uses synthetic structuring elements (SEs), which are synthesized based on a synthetic discriminant function (SDF) filter algorithm. The synthetic hit SE is composed of the linear combination of the reference hit SEs, and the synthetic miss SE is composed of the linear combination of the reference miss SEs. Based on various simulations, it is shown that the proposed algorithm can be applied to an HMT correlator to improve its ability to detect various objects with distortions in noisy and cluttered scenes.

[1] Soo-Joong Kim,et al. New morphological detection algorithm based on the hit-miss transform , 2002 .

[2] Weibin Zhu,et al. Shape recognition method using morphological hit-or-miss transform , 1995 .

[3] David Casasent,et al. Projection Synthetic Discriminant Function Performance , 1984 .

[4] David Casasent,et al. Nonlinear optical hit-miss transform for detection. , 1995, Applied optics.

[5] Yingbai Yan,et al. New optoelectronic morphological scheme for multiple-object recognition , 1994 .

[6] D Casasent,et al. Optical hit-miss morphological transform. , 1992, Applied optics.

[7] Liren Liu. Morphological hit-or-miss transform for binary and gray-tone image processing and its optical implementation , 1994 .

[8] D Casasent,et al. Unified synthetic discriminant function computational formulation. , 1984, Applied optics.

[9] M. Karim,et al. Illumination-invariant pattern recognition with joint-transform-correlator-based morphological correlation. , 1999, Applied optics.

[10] M A Karim,et al. Morphologically preprocessed joint transform correlation. , 1999, Applied optics.