A Study of Color and Pattern Multi-Interpretations Based on Random Walk and Resonance Concept

碩士 === 國立清華大學 === 電機工程學系 === 97 === For these years, computer vision has made great progress in pattern recognition. Many recognition models have been proposed and some of them achieved fairly good recognition rate. The ultimate goal of these methods is mainly to realize the recognition capability o...

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Main Authors: Hsu, Ying-Che, 徐英哲
Other Authors: Jong, Tai-Lang
Format: Others
Language:en_US
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/85709312651566843123
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spelling ndltd-TW-097NTHU54421082015-11-13T04:08:49Z http://ndltd.ncl.edu.tw/handle/85709312651566843123 A Study of Color and Pattern Multi-Interpretations Based on Random Walk and Resonance Concept 基於隨機漫步與共振概念的色彩與圖形之多重解釋研究 Hsu, Ying-Che 徐英哲 碩士 國立清華大學 電機工程學系 97 For these years, computer vision has made great progress in pattern recognition. Many recognition models have been proposed and some of them achieved fairly good recognition rate. The ultimate goal of these methods is mainly to realize the recognition capability of human vision. Usually, for an image containing a simple object, the human vision will associate only one interpretation of the object in response to such image. However, there are cases where one viewer or different viewers may not always respond with the same answer when viewing the same simple figure. We call this multi-interpretations. About this phenomenon, we propose an explanation that it is because the viewer(s) might have different sensing criterion when viewing an image. After the differently sensed result is received and processed by the brain, different response pattern might be produced, thus different interpretations to the same image occur. To support our idea of explaining the aforementioned phenomena, we develop a pixel resonance concept based on random sampling and the photon cluster resonance concept of quantum mechanics to model different sensing criterion effect. A Monte Carlo method is applied in our pixel resonance simulation to illustrate the proposed multi-interpretations concept. If a given image is randomly sampled by different sampling energy, different resonance results might be obtained, thus multi-interpretations. We then extend the pixel resonance and multi-interpretations concept to color image and color blindness tests. Using different resonance conditions, the different resonance images are obtained. In addition, we further explain the concept about multi-interpretations by simulating color blind vision of color blindness tests. Jong, Tai-Lang 鐘太郎 2009 學位論文 ; thesis 60 en_US
collection NDLTD
language en_US
format Others
sources NDLTD
description 碩士 === 國立清華大學 === 電機工程學系 === 97 === For these years, computer vision has made great progress in pattern recognition. Many recognition models have been proposed and some of them achieved fairly good recognition rate. The ultimate goal of these methods is mainly to realize the recognition capability of human vision. Usually, for an image containing a simple object, the human vision will associate only one interpretation of the object in response to such image. However, there are cases where one viewer or different viewers may not always respond with the same answer when viewing the same simple figure. We call this multi-interpretations. About this phenomenon, we propose an explanation that it is because the viewer(s) might have different sensing criterion when viewing an image. After the differently sensed result is received and processed by the brain, different response pattern might be produced, thus different interpretations to the same image occur. To support our idea of explaining the aforementioned phenomena, we develop a pixel resonance concept based on random sampling and the photon cluster resonance concept of quantum mechanics to model different sensing criterion effect. A Monte Carlo method is applied in our pixel resonance simulation to illustrate the proposed multi-interpretations concept. If a given image is randomly sampled by different sampling energy, different resonance results might be obtained, thus multi-interpretations. We then extend the pixel resonance and multi-interpretations concept to color image and color blindness tests. Using different resonance conditions, the different resonance images are obtained. In addition, we further explain the concept about multi-interpretations by simulating color blind vision of color blindness tests.
author2 Jong, Tai-Lang
author_facet Jong, Tai-Lang
Hsu, Ying-Che
徐英哲
author Hsu, Ying-Che
徐英哲
spellingShingle Hsu, Ying-Che
徐英哲
A Study of Color and Pattern Multi-Interpretations Based on Random Walk and Resonance Concept
author_sort Hsu, Ying-Che
title A Study of Color and Pattern Multi-Interpretations Based on Random Walk and Resonance Concept
title_short A Study of Color and Pattern Multi-Interpretations Based on Random Walk and Resonance Concept
title_full A Study of Color and Pattern Multi-Interpretations Based on Random Walk and Resonance Concept
title_fullStr A Study of Color and Pattern Multi-Interpretations Based on Random Walk and Resonance Concept
title_full_unstemmed A Study of Color and Pattern Multi-Interpretations Based on Random Walk and Resonance Concept
title_sort study of color and pattern multi-interpretations based on random walk and resonance concept
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/85709312651566843123
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