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あぁかがさざただなはばぱまやゃらわゎんいぃきぎしじちぢにひびぴみりうぅくぐすずつづっぬふぶぷむゆゅるえぇけげせぜてでねへべぺめれおぉこごそぞとどのほぼぽもよょろを

アァカサザタダナハバパマヤャラワヮンイィキギシジチヂニヒビピミリウゥクグスズツヅッヌフブプムユュルエェケゲセゼテデヘベペメレオォコゴソゾトドノホボポモヨョロヲ ―

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中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.

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Α Β Γ Δ Ε Ζ Η Θ Ι Κ Λ Μ Ν Ξ Ο Π Ρ Σ Τ Υ Φ Χ Ψ Ω α β γ δ ε ζ η θ ι κ λ μ ν ξ ο π ρ σ τ υ φ χ ψ ω

á à Á À é è É È ç Ç ê

Ä Ö Ü ä ö ü ß

ְ ֳ ֲ ֱ ָ ַ ֵ ֶ ִ ֹ ּ ֻ ׂ ׁ ּ פ ם ן ו ט א ר ק ף ך ל ח י ע כ ג ד ש ץ ת צ מ נ ה ב

‘ ’ “ ” 〔〕〈〉「」『』【】＂（）［］｛｝

± × ÷ ≠ ≤ ≥ ∞ ∴ ♂ ♀ ∠ ⊥ ⌒ ∂ ∇ ≡ ≒ ≪ ≫ √ ∽ ∝ ∵ ∫ ∬ ∈ ∋ ⊆ ⊇ ⊂ ⊃ ∪ ∩ ∧ ∨ ￢ ⇒ ⇔ ∀ ∃ ∮ ∑ ∏ ＋－＜＝＞

、。 · ‥ … ¨ 〃 ― ∥ ＼ ∼ ´ ～ ˇ ˘ ˝ ˚ ˙ ¸ ˛ ¡ ¿ ː ！＇，．／：；？＾＿｀｜

½ ⅓ ⅔ ¼ ¾ ⅛ ⅜ ⅝ ⅞ ¹ ² ³ ⁴ ⁿ ₁ ₂ ₃ ₄

Æ Ð Ħ Ĳ Ł Ø Œ Þ Ŧ Ŋ æ đ ð ħ ı ĳ ĸ ŀ ł ø œ ß þ ŧ ŋ ŉ

А Б В Г Д Е Ё Ж З И Й К Л М Н О П Р С Т У Ф Х Ц Ч Ш Щ Ъ Ы Ь Э Ю Я а б в г д е ё ж з и й к л м н о п р с т у ф х ц ч ш щ ъ ы ь э ю я

′ ″ ℃ Å ￠￡￥ ¤ ℉ ‰ ＄％Ｆ￦㎕㎖㎗ ℓ ㎘㏄㎣㎤㎥㎦㎙㎚㎛㎜㎝㎞㎟㎠㎡㎢㏊㎍㎎㎏㏏㎈㎉㏈㎧㎨㎰㎱㎲㎳㎴㎵㎶㎷㎸㎹㎀㎁㎂㎃㎄㎺㎻㎽㎾㎿㎐㎑㎒㎓㎔ Ω ㏀㏁㎊㎋㎌㏖㏅㎭㎮㎯㏛㎩㎪㎫㎬㏝㏐㏓㏃㏉㏜㏆

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ⅰ ⅱ ⅲ ⅳ ⅴ ⅵ ⅶ ⅷ ⅸ ⅹ Ⅰ Ⅱ Ⅲ Ⅳ Ⅴ Ⅵ Ⅶ Ⅷ Ⅸ Ⅹ

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형태학적 형태 분해 방법을 이용한 물체 인식에 관한 연구 = A Study on object recognition using morphological shape decomposition

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https://www.riss.kr/link?id=A19641421

저자

嚴景培 (群山大學校 컴퓨터科學科) ; 金準哲 (西南大學校電子工學科) ; 李俊煥 (全北大學校電子工學科)
발행기관
全北大學校
학술지명
論文集
권호사항

Vol.37 No.- [1994]
발행연도
1994
작성언어
Korean
KDC
404.000
자료형태
학술저널
수록면

109-116(8쪽)
제공처
RISS
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다국어 초록 (Multilingual Abstract)

Mathematical morphology based on the set theory has been applied to various areas in image processing. In this paper, we propose a new method for object recognition based on morphological shape decomposition.
The first step of our method decomposes a binary shape into a union of simple binary shapes, and then a new tree structure is constructed which can represent simple binary shapes of objects. Finally, we obtain the feature informations from the tree structures and calculate matching scores using efficient matching measure.
The experimental results of the proposed method show the good recognition rate.

번역하기

Mathematical morphology based on the set theory has been applied to various areas in image processing. In this paper, we propose a new method for object recognition based on morphological shape decomposition. The first step of our method decomposes a...

Mathematical morphology based on the set theory has been applied to various areas in image processing. In this paper, we propose a new method for object recognition based on morphological shape decomposition.
The first step of our method decomposes a binary shape into a union of simple binary shapes, and then a new tree structure is constructed which can represent simple binary shapes of objects. Finally, we obtain the feature informations from the tree structures and calculate matching scores using efficient matching measure.
The experimental results of the proposed method show the good recognition rate.