Implement the Hardware Image Sum Modulus Difference Algorithm for an Automatic Focus Control System

碩士 === 國立虎尾科技大學 === 電機工程研究所 === 103 === This study used a System-On-Programming-Chip (SOPC) method and a development platform with a Field-Programmable-Gate-Array (FPGA) to develop a passive automatic focus control system. A 32-bit processor was established as the system control center within the F...

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Main Authors: Bo-Jhou Lin, 林柏州
Other Authors: Kai-Hsiung Chang
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/8ktf2m
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spelling ndltd-TW-103NYPI54410252019-09-22T03:41:17Z http://ndltd.ncl.edu.tw/handle/8ktf2m Implement the Hardware Image Sum Modulus Difference Algorithm for an Automatic Focus Control System 硬體化影像差距係數總合演算法之自動對焦控制系統 Bo-Jhou Lin 林柏州 碩士 國立虎尾科技大學 電機工程研究所 103 This study used a System-On-Programming-Chip (SOPC) method and a development platform with a Field-Programmable-Gate-Array (FPGA) to develop a passive automatic focus control system. A 32-bit processor was established as the system control center within the FPGA, with hardware modules for control the motor movement and for processing images to achieve autofocus, In addition, the modularity of the design improved the flexibility of the system during development and porting. The motor control loop contained Proportional-Derivative (PD) and Proportional -Integral (PI) controllers for controlling position and speed, respectively. In addition, the Constant Sample-time Digital Tachometer (CSDT) method was used for measuring the motor speed, with the Sum Modulus Difference (SMD) algorithm being employed to calculate the image sharpness. System used twice global search methods as focus strategy. Finally, we tested three versions of an object to verify the feasibility of the system, thus determining any performance disparity between the SMD software and hardware modules. Kai-Hsiung Chang 張凱雄 2015 學位論文 ; thesis 83 zh-TW
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language zh-TW
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description 碩士 === 國立虎尾科技大學 === 電機工程研究所 === 103 === This study used a System-On-Programming-Chip (SOPC) method and a development platform with a Field-Programmable-Gate-Array (FPGA) to develop a passive automatic focus control system. A 32-bit processor was established as the system control center within the FPGA, with hardware modules for control the motor movement and for processing images to achieve autofocus, In addition, the modularity of the design improved the flexibility of the system during development and porting. The motor control loop contained Proportional-Derivative (PD) and Proportional -Integral (PI) controllers for controlling position and speed, respectively. In addition, the Constant Sample-time Digital Tachometer (CSDT) method was used for measuring the motor speed, with the Sum Modulus Difference (SMD) algorithm being employed to calculate the image sharpness. System used twice global search methods as focus strategy. Finally, we tested three versions of an object to verify the feasibility of the system, thus determining any performance disparity between the SMD software and hardware modules.
author2 Kai-Hsiung Chang
author_facet Kai-Hsiung Chang
Bo-Jhou Lin
林柏州
author Bo-Jhou Lin
林柏州
spellingShingle Bo-Jhou Lin
林柏州
Implement the Hardware Image Sum Modulus Difference Algorithm for an Automatic Focus Control System
author_sort Bo-Jhou Lin
title Implement the Hardware Image Sum Modulus Difference Algorithm for an Automatic Focus Control System
title_short Implement the Hardware Image Sum Modulus Difference Algorithm for an Automatic Focus Control System
title_full Implement the Hardware Image Sum Modulus Difference Algorithm for an Automatic Focus Control System
title_fullStr Implement the Hardware Image Sum Modulus Difference Algorithm for an Automatic Focus Control System
title_full_unstemmed Implement the Hardware Image Sum Modulus Difference Algorithm for an Automatic Focus Control System
title_sort implement the hardware image sum modulus difference algorithm for an automatic focus control system
publishDate 2015
url http://ndltd.ncl.edu.tw/handle/8ktf2m
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