Automatic Recognition Technology of Partial Masked Target
| Autor: | 宋玉龙 Song Yu-long, 王文生 Wang Wensheng, 苗华 Miao Hua, 陈宇 Chen Yu |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
business.industry
Computer science media_common.quotation_subject Speech recognition Wavelet transform Spectral density Pattern recognition Luminance Atomic and Molecular Physics and Optics Wavelet Clutter Contrast (vision) Artificial intelligence business Joint (audio engineering) Energy (signal processing) media_common |
| Zdroj: | ACTA PHOTONICA SINICA. 42:997-1001 |
| ISSN: | 1004-4213 |
| DOI: | 10.3788/gzxb20134208.0997 |
| Popis: | The result of target recognition is always influenced by clutter background,low contrast and deficiency luminance of image.Besides the factors mentioned above,detection and recognition of partial masked target has the character of imperfection and information loss of target,which leads to recognition problem.All the harmful factors cannot make target recognition be realized by hybrid optoelectronic joint transform correlator due to the weak correlation peaks or even no peaks.Aiming at this phenomenon,partial masked target image in hybrid optoelectronic joint transform correlator is processed by the method of adaptive threshold,and power spectrum is processed by Mexican wavelet transform.The combination depresses the noise disturbance effectively and enhances the energy of diffractive light of obscuration target and reference template.This enhances the contrast and energy of correlation peaks of partial masked target and improves the ability of detection and recognition for partial masked target with joint transform correlator.The experimental results show that the combination of adaptive threshold and Mexican wavelet transform can improve the ability of detection and recognition for partial masked target with hybrid optoelectronic joint transform correlator effectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|