A study of recursive method to design optimal image edge detection system

碩士 === 逢甲大學 === 自動控制工程研究所 === 77 ===

Bibliographic Details
Main Authors: LI, GING-LONG, 李清隆
Other Authors: ZHAO, MING
Format: Others
Language:zh-TW
Published: 1989
Online Access:http://ndltd.ncl.edu.tw/handle/05803374032046161002
id ndltd-TW-077FCU02146009
record_format oai_dc
spelling ndltd-TW-077FCU021460092016-07-29T04:13:03Z http://ndltd.ncl.edu.tw/handle/05803374032046161002 A study of recursive method to design optimal image edge detection system 利用遞廻方式設計最佳影像邊線偵測系統之研究 LI, GING-LONG 李清隆 碩士 逢甲大學 自動控制工程研究所 77 ZHAO, MING 趙銘 1989 學位論文 ; thesis 86 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 逢甲大學 === 自動控制工程研究所 === 77 ===
author2 ZHAO, MING
author_facet ZHAO, MING
LI, GING-LONG
李清隆
author LI, GING-LONG
李清隆
spellingShingle LI, GING-LONG
李清隆
A study of recursive method to design optimal image edge detection system
author_sort LI, GING-LONG
title A study of recursive method to design optimal image edge detection system
title_short A study of recursive method to design optimal image edge detection system
title_full A study of recursive method to design optimal image edge detection system
title_fullStr A study of recursive method to design optimal image edge detection system
title_full_unstemmed A study of recursive method to design optimal image edge detection system
title_sort study of recursive method to design optimal image edge detection system
publishDate 1989
url http://ndltd.ncl.edu.tw/handle/05803374032046161002
work_keys_str_mv AT liginglong astudyofrecursivemethodtodesignoptimalimageedgedetectionsystem
AT lǐqīnglóng astudyofrecursivemethodtodesignoptimalimageedgedetectionsystem
AT liginglong lìyòngdìhuífāngshìshèjìzuìjiāyǐngxiàngbiānxiànzhēncèxìtǒngzhīyánjiū
AT lǐqīnglóng lìyòngdìhuífāngshìshèjìzuìjiāyǐngxiàngbiānxiànzhēncèxìtǒngzhīyánjiū
AT liginglong studyofrecursivemethodtodesignoptimalimageedgedetectionsystem
AT lǐqīnglóng studyofrecursivemethodtodesignoptimalimageedgedetectionsystem
_version_ 1718364900540022784