Optimal training image registration for optical correlation synthesis

碩士 === 元智大學 === 電機工程學系 === 90 === Abstract In our previous published papers on the non-zero order opto-electronic joint transform correlator, classical training images are put around the center to synthesize the reference function. However, it can’t guarantee that minimum average cross co...

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Main Authors: Yeao-Hwang Chung, 鍾耀寰
Other Authors: Chulung Chen
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/76807742829048821905
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spelling ndltd-TW-090YZU004420022017-06-02T04:42:14Z http://ndltd.ncl.edu.tw/handle/76807742829048821905 Optimal training image registration for optical correlation synthesis 光學相關濾波器之最佳化影像位置的研究 Yeao-Hwang Chung 鍾耀寰 碩士 元智大學 電機工程學系 90 Abstract In our previous published papers on the non-zero order opto-electronic joint transform correlator, classical training images are put around the center to synthesize the reference function. However, it can’t guarantee that minimum average cross correlation energy can be achieved. To improve this, we shift training images pixel by pixel from the left to the right and from the top to the bottom. We record the power spectrum and calculate the reference function to find minimum average cross correlation energy while shifting the training image each time. By this procedure, the optimal training image database will be found. Compared with the original method, our method will get sharp correlation peaks and less sidelobes, which can increase the recognition efficiency and reduce false alarm rates. Chulung Chen 陳祖龍 2002 學位論文 ; thesis 56 zh-TW
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language zh-TW
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description 碩士 === 元智大學 === 電機工程學系 === 90 === Abstract In our previous published papers on the non-zero order opto-electronic joint transform correlator, classical training images are put around the center to synthesize the reference function. However, it can’t guarantee that minimum average cross correlation energy can be achieved. To improve this, we shift training images pixel by pixel from the left to the right and from the top to the bottom. We record the power spectrum and calculate the reference function to find minimum average cross correlation energy while shifting the training image each time. By this procedure, the optimal training image database will be found. Compared with the original method, our method will get sharp correlation peaks and less sidelobes, which can increase the recognition efficiency and reduce false alarm rates.
author2 Chulung Chen
author_facet Chulung Chen
Yeao-Hwang Chung
鍾耀寰
author Yeao-Hwang Chung
鍾耀寰
spellingShingle Yeao-Hwang Chung
鍾耀寰
Optimal training image registration for optical correlation synthesis
author_sort Yeao-Hwang Chung
title Optimal training image registration for optical correlation synthesis
title_short Optimal training image registration for optical correlation synthesis
title_full Optimal training image registration for optical correlation synthesis
title_fullStr Optimal training image registration for optical correlation synthesis
title_full_unstemmed Optimal training image registration for optical correlation synthesis
title_sort optimal training image registration for optical correlation synthesis
publishDate 2002
url http://ndltd.ncl.edu.tw/handle/76807742829048821905
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