MARC

 008081222s2007        ulka                    000      kor
■020    ▼a9788955501766
■0801  ▼a621.397.3
■082    ▼a621.367▼b이97ㄷ▼223
■090    ▼a621.367▼b이97ㄷ
■1001  ▼a이흥규  지음
■24510▼a디지털  영상처리  이론  및  구현▼bVisual  C++  접근  방법▼xDigital  Image  Processing▼d이흥규  지음
■260    ▼a서울▼b(주식회사)사이텍미디어▼c2007
■300    ▼a544p.▼b삽도▼c26cm
■505    ▼a영상처리  개요▼a1.1  영상처리란?▼c2▼a1.2  인간의  눈에서의  영상처리▼c3▼a1.3  영상처리  연구분야▼c7▼a1.4  디지털  영상  형성  및  표현▼c13▼a1.5  요약▼c15▼a1.6  연습문제▼c16▼a디지털  영상  입출력  클래스  설계  및  구현▼a2.1  영상  파일의  입출력  클래스  설계  및  구현▼c18▼a2.1.1  RAW  영상▼c1800▼a2.1.2  PGM  영상▼c2011▼a2.1.3  BMP  영상▼c2622▼a2.2  통합  영상  입출력  클래스  설계  및  구현▼c3933▼a픽셀  처리  연산자44▼a3.1  산술  연산자▼c5855▼a3.1.1  컬러의  표현  범위▼c5866▼a3.1.2  덧셈  연산자▼c5977▼a3.1.3  뺄셈  연산자▼c6488▼a3.1.4  곱셈  및  나눗셈  연산자▼c6999▼a3.2  이진  연산자▼c7300▼a3.3  픽셀  처리  응용▼c8511▼a3.3.1  블렌딩▼c8522▼a3.3.2  영상의  밝기  및  명암대비▼c8933▼a3.3.3  스래시홀딩을  이용한  영상  이진▼c9244▼a3.3.4  클리핑▼c9555▼a3.4  매개변수  설정  다이얼로그  생성  방법▼c9866▼a3.5  요약▼c10777▼a3.6  연습문제▼c11088▼a기하학  변환  및  처리99▼a4.1  기하학  변환▼c11200▼a4.1.1  전방향  사상  및  역방향  사상기법▼c11211▼a4.1.2  영상  이동▼c11422▼a4.1.3  영상  회전▼c11933▼a4.1.4  영상  스케일링  -  확대  및  축소▼c12644▼a4.1.5  영상  반전▼c12955▼a4.1.6  영상  전단▼c13366▼a4.1.7  어파인  변환▼c13777▼a4.1.8  원근  투영  변환▼c13788▼a4.1.9  직각  투영  변환▼c13999▼a4.2  보간법▼c14000▼a4.2.1  중간  값(미디언:  Median)  보간법▼c14011▼a4.2.2  평균  값  보간법▼c14122▼a4.2.3  이중  선형  보간법▼c14633▼a4.2.4  B-Spline  보간법  및  기타  보간  방법▼c15244▼a4.3  매개변수  설정  다이얼로그  생성  방법▼c15555▼a4.4  요약▼c16466▼a4.5  연습문제▼c16777▼a영상  향상  및  필터링88▼a5.1  영상  잡음의  종류  및  생성▼c17099▼a5.2  점  처리에  기반한  영상  개선▼c18100▼a5.2.1  로그  연산자▼c18111▼a5.2.2  멱함수  변환  연산자▼c18422▼a5.2.3  히스토그램  및  히스토그램  평활화▼c18833▼a5.2.4  히스토그램  스트레칭▼c19544▼a5.3  공간적  필터에  기반한  영상  개선▼c20155▼a5.3.1  평활화  필터▼c20266▼a5.3.2  가우시안  필터▼c21577▼a5.3.3  차수  통계학적  필터(Order  Statistic  Fiter)▼c21888▼a5.3.4  영상  선명화  -  샤프닝(Sharpening)▼c23199▼a5.3.5  하프토닝  및  디더링▼c23400▼a5.3.6  양각  효과(엠보싱:  embossing)▼c24111▼a5.3.7  모자이크  효과▼c24422▼a5.3.8  부드러운  효과  -  소프튼  필터▼c24833▼a5.4  요약▼c25144▼a5.5  연습문제▼c25355▼a영역의  경계  추출66▼a6.1  유사  연산  및  차  연산  에지  검출  방법▼c25777▼a6.2  미분을  이용한  에지  검출  방법▼c26288▼a6.2.1  1차  미분을  이용하는  방법▼c26299▼a6.2.2  Compass  Gradient  연산자를  이용하는  방법▼c27600▼a6.2.3  2차  미분을  이용하는  방법▼c28111▼a6.3  점.  선.  원과  같은  경계  검출▼c28722▼a6.3.1  점.  선  검출▼c28733▼a6.3.2  허프  변환▼c29144▼a6.4  에지  연결▼c29755▼a6.5  에지  추적▼c30166▼a6.6  요약▼c30677▼a6.7  연습문제▼c30888▼a주파수  도메인  처리99▼a7.1  주파수  공간  개요▼c31100▼a7.1.1  신호의  생성,  변환,  복원▼c31111▼a7.1.2  주파수  공간으로의  변환▼c31222▼a7.1.3  연속  신호와  불연속  신호▼c31533▼a7.2  고속  푸리에  변환▼c31744▼a7.2.1  입력  데이터  재배열  및  나비흐름도  계산▼c31855▼a7.2.2  영상  스펙트럼▼c33066▼a7.2.3  고속  푸리에  변환  적용  예▼c33377▼a7.3  고속  푸리에  역  변환▼c33588▼a7.4  주파수  영역에서의  필터링▼c33999▼a7.4.1  버터워스(Butterworth)  필터▼c34100▼a7.4.2  이상적인  필터▼c34711▼a7.4.3  가우시안  필터▼c35222▼a7.5  불연속  코사인  변환▼c35733▼a7.6  요약▼c35944▼a7.7  연습문제▼c36255▼a형태학적  처리-모폴로지66▼a8.1  팽창  및  침식  연산▼c36477▼a8.1.1  이진  영상  모폴로지▼c36488▼a8.1.2  그레이  영상  모폴로지▼c37299▼a8.2  열림  및  닫힘  연산▼c3770000▼a8.3  모폴로지  응용▼c3800101▼a8.3.1  영역의  경계  추출▼c3800202▼a8.3.2  영상  향상▼c3850303▼a8.4  요약▼c3900404▼a8.5  연습문제▼c3910505▼a영상  분할  및  정합0606▼a9.1  임계치  설정에  의한  영상  분할▼c3940707▼a9.1.1  단순  임계치  설정에  의한  방법▼c3940808▼a9.1.2  히스토그램을  이용한  임계치  설정▼c3970909▼a9.2  영역  분할/합병을  통한  영상  분할▼c4001010▼a9.2.1  영역  합병▼c4001111▼a9.2.2  영역  분할▼c4061212▼a9.2.3  영역  분할  및  합병▼c4101313▼a9.3  그래프  기반  영상  분할▼c4161414▼a9.4  오브젝트  레이블링▼c4261515▼a9.5  텍스처▼c4311616▼a9.5.1  영상  히스토그램에  기반한  방법▼c4321717▼a9.5.2  런렝스(run-length)에  기반한  방법▼c4331818▼a9.5.3  주파수  특징에  기반한  방법▼c4341919▼a9.6  템플레이트  정합▼c4362020▼a9.7  요약▼c4512121▼a9.8  연습문제▼c4542222▼a영상  묘사2323▼a10.1  체인  코드▼c4572424▼a10.2  푸리에  묘사자▼c4602525▼a10.3  형상  묘사를  위한  특징벡터▼c4622626▼a10.3.1  경계  길이▼c4632727▼a10.3.2  모서리  표현을  위한  곡률  정보▼c4632828▼a10.3.3  구부림  에너지▼c4642929▼a10.3.4  오브젝트  영역▼c4653030▼a10.3.5  오브젝트의  크기  및  중심▼c4653131▼a10.3.6  원형도▼c4663232▼a10.4  회전,  스케일,  이동에  불변인  특징벡터  -  모멘트▼c4673333▼a10.5  영상  피라미드▼c4713434▼a10.6  세션화  알고리즘▼c4733535▼a10.6.1  세션화  알고리즘▼c4733636▼a10.6.2  2단계  세션화  알고리즘▼c4773737▼a10.7  오브젝트의  골격  묘사▼c4833838▼a10.8  요약▼c4883939▼a10.9  연습문제▼c4904040▼a컬러  영상처리4141▼a11.1  컬러  모델▼c4924242▼a11.1.1  RGB  모델▼c4924343▼a11.1.2  YIQ  모델▼c4974444▼a11.1.3  CMY  모델▼c5034545▼a11.1.4  HSI  모델▼c5084646▼a11.1.5  YCbCr  모델▼c5164747▼a11.2  컬러  영상처리▼c5214848▼a11.2.1  명도  조절▼c5214949▼a11.2.2  영상  블러링:  평균  값  필터링▼c5245050▼a11.2.3  중간  값  필터링▼c5265151▼a11.2.4  영상  선명화▼c5305252▼a11.2.5  엠보싱  효과▼c5335353▼a11.2.6  에지  추출▼c5365454▼a11.3  요약▼c5395555▼a11.4  연습문제▼c5405656▼a인덱스▼c5415757
■653    ▼a영상처리
■9500  ▼c28,000

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