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Real-Time Auto-Focus System Design Based on Climbing Algorithm and its FPGA Implementation
In real-time imaging applications, the auto-focus algorithm and hardware structure must be adapted to the limited resources for fast and accurate real-time auto-focusing. In this paper, to obtain more precision, a new clarity evaluation function base on image's edge energy is proposed. Then, we...
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creator | Haifeng Zhang Zhaohui Zhang Hongtao Yang Li Wu Linao Tang Qing Zhu Sen Dong Maoyuan Qin Yangjie Lei |
description | In real-time imaging applications, the auto-focus algorithm and hardware structure must be adapted to the limited resources for fast and accurate real-time auto-focusing. In this paper, to obtain more precision, a new clarity evaluation function base on image's edge energy is proposed. Then, we present the corresponding FPGA hardware implementation which has simple structure. Additionally, utilizing the prior knowledge during the climbing process, a new climbing algorithm for the auto-focus which has the random start point is proposed. The experiment results show the proposed auto-focus algorithm can reduce the steps during the climbing and accelerate the auto-focus speed simultaneously. |
doi_str_mv | 10.1109/CIS.2012.81 |
format | conference_proceeding |
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The experiment results show the proposed auto-focus algorithm can reduce the steps during the climbing and accelerate the auto-focus speed simultaneously.</description><subject>Auto-Focus</subject><subject>Brushless DC motors</subject><subject>Climbing Algorithm</subject><subject>Edge Energy Evaluation Function</subject><subject>Field programmable gate arrays</subject><subject>Focusing</subject><subject>Motor drives</subject><subject>Real-Time</subject><subject>Real-time systems</subject><isbn>1467347256</isbn><isbn>9781467347259</isbn><isbn>0769548962</isbn><isbn>9780769548968</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotzLtOwzAYQGEjhAQtnRhZ_AIpvsR2PIZASqRKIFoWlsqO_wSjOKlid-jbgwTTkb7hIHRHyZpSoh-qZrdmhLJ1QS_QgiipRV5oyS7RguZS8VwxIa_RKsZvQgglXBDJbtDnO5gh2_sAuDylKaun9hTx7hwTBPwE0fcjfjQRHJ5GXA0-WD_2uBz6afbpK2AzOuxTxPXbpsRNOA4QYEwm-Wm8RVedGSKs_rtEH_XzvnrJtq-bpiq3madKpMwqLqETUBjGNWu5MS1lpBWWcwUUREs72zpwhioLvwwFs86AVsyCE8TxJbr_-3oAOBxnH8x8PsicCM01_wFAxFJs</recordid><startdate>201211</startdate><enddate>201211</enddate><creator>Haifeng Zhang</creator><creator>Zhaohui Zhang</creator><creator>Hongtao Yang</creator><creator>Li Wu</creator><creator>Linao Tang</creator><creator>Qing Zhu</creator><creator>Sen Dong</creator><creator>Maoyuan Qin</creator><creator>Yangjie Lei</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201211</creationdate><title>Real-Time Auto-Focus System Design Based on Climbing Algorithm and its FPGA Implementation</title><author>Haifeng Zhang ; Zhaohui Zhang ; Hongtao Yang ; Li Wu ; Linao Tang ; Qing Zhu ; Sen Dong ; Maoyuan Qin ; Yangjie Lei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-b736ef5e8a2392c3aac120c5b337e1e5c1fbcdeda17bec5be82bdae972bed50d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Auto-Focus</topic><topic>Brushless DC motors</topic><topic>Climbing Algorithm</topic><topic>Edge Energy Evaluation Function</topic><topic>Field programmable gate arrays</topic><topic>Focusing</topic><topic>Motor drives</topic><topic>Real-Time</topic><topic>Real-time systems</topic><toplevel>online_resources</toplevel><creatorcontrib>Haifeng Zhang</creatorcontrib><creatorcontrib>Zhaohui Zhang</creatorcontrib><creatorcontrib>Hongtao Yang</creatorcontrib><creatorcontrib>Li Wu</creatorcontrib><creatorcontrib>Linao Tang</creatorcontrib><creatorcontrib>Qing Zhu</creatorcontrib><creatorcontrib>Sen Dong</creatorcontrib><creatorcontrib>Maoyuan Qin</creatorcontrib><creatorcontrib>Yangjie Lei</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore (Online service)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Haifeng Zhang</au><au>Zhaohui Zhang</au><au>Hongtao Yang</au><au>Li Wu</au><au>Linao Tang</au><au>Qing Zhu</au><au>Sen Dong</au><au>Maoyuan Qin</au><au>Yangjie Lei</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Real-Time Auto-Focus System Design Based on Climbing Algorithm and its FPGA Implementation</atitle><btitle>2012 Eighth International Conference on Computational Intelligence and Security</btitle><stitle>cis</stitle><date>2012-11</date><risdate>2012</risdate><spage>332</spage><epage>335</epage><pages>332-335</pages><isbn>1467347256</isbn><isbn>9781467347259</isbn><eisbn>0769548962</eisbn><eisbn>9780769548968</eisbn><coden>IEEPAD</coden><abstract>In real-time imaging applications, the auto-focus algorithm and hardware structure must be adapted to the limited resources for fast and accurate real-time auto-focusing. In this paper, to obtain more precision, a new clarity evaluation function base on image's edge energy is proposed. Then, we present the corresponding FPGA hardware implementation which has simple structure. Additionally, utilizing the prior knowledge during the climbing process, a new climbing algorithm for the auto-focus which has the random start point is proposed. The experiment results show the proposed auto-focus algorithm can reduce the steps during the climbing and accelerate the auto-focus speed simultaneously.</abstract><pub>IEEE</pub><doi>10.1109/CIS.2012.81</doi><tpages>4</tpages></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Auto-Focus Brushless DC motors Climbing Algorithm Edge Energy Evaluation Function Field programmable gate arrays Focusing Motor drives Real-Time Real-time systems |
title | Real-Time Auto-Focus System Design Based on Climbing Algorithm and its FPGA Implementation |
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