In present study, I developed a powerful Matlab-based software package,
imageProcAnal (Version 1.0), for image processing and analysis. Several modules
were available for uses. Functions to resize, crop, rotate, dilate, pixelate and
watermark images are included in Basic module. Adjustment of image edge,
contrast and gamma factor is available in Adjustment module. In Denoising
module, four elementary denoising methods and their joint uses are provided for
image filtering and denoising. In Edge and Contour Detection module, five methods
for detection of image edge and contour are provided. Also three methods for
image sharpening are available in Sharpening module. Segmentation module
includes three methods for image segmentation. Connected components recognition
can be made in Object Recognition module. In Analysis module, Pearson correlation
measure was provided to align images. Pearson correlations and p values among
images can be obtained. Mutiple methods across different modules can be
sequentially and jointly used to achieve ideal image. Finally, some examples for
image processing can be found in Demo module. In addition to conventional
methods, I proposed two new methods for image segmentation, i.e., TDOS
(Two-Dimensional Ordered Segmentation) and MWAS (Moving Windows Averaging
Segmentation). In TDOS, which is based on two-dimensional ordered cluster
analysis, the pixels belonging to the same segment (class) are adjoint and are not
separated by any of remaining segments. MWAS is based on moving windows
averaging method for transect boundary detection. Algorithms of TDOS and MWAS
were given, and full Matlab codes of MWAS were given.

제 1편 : MATLAB 기본편
1. MATLAB 기본사용편 ···················· 003
1.1 MATLAB 시작하기 ·························· 003
명령창(command Window)에서의 입력 005
도움말(Help)의 이용 ······························· 007
1.2 입력 오류의 수정 ····························· 008
계산의 중지 ·············································· 009
MATLAB 종료하기 ································· 009
1.3 연산과 변수의 할당 ·························· 009
연산자 우선순위 ······································· 011
내장함수 ···················································· 012
1.4 데이터의 표현 ··································· 013
1.5 변수의 처리 ······································· 015
변수 이름 ·················································· 015
clear 명령어 ············································· 016
특수변수와 정수 ······································· 017
whos 명령어 ············································ 017
1.6 벡터와 행렬 ······································· 018
벡터 ··························································· 018
행렬 ·························································· 023
스크린 출력과 억제 ································· 024
1.7 랜덤(Random)수와 복소수 ·············· 025
랜덤 수 ····················································· 025
복소수 ······················································· 027
1.8 기호를 이용한 연산 ·························· 028
기호식에서의 치환 ··································· 029
1.9 코드 파일 ·········································· 030
스크립트 코드 파일 ································· 030
코멘트의 추가 ·········································· 032
함수 코드 파일 ···································· 033
사용자 정의함수 ······································ 036
1.10 간단한 그래프의 생성 ····················· 037
ezplot을 이용한 그래프 ·························· 037
plot을 이용한 그래프 ·························· 039
3차원 그래프 ··········································· 042
1.11 MATLAB과 엑셀(Excel)의 접속 043 엑셀 데이터 불러오기 ····························· 043
데이터 가져오기 옵션 ························· 046
스크립트 생성 옵션 ································· 049
함수 생성 옵션 ········································ 049
생성된 데이터를 엑셀파일로 저장하기 ·· 050

제 2편 : 연구논문
imageProcAnal: A novel Matlab software package for image
processing and analysis

1. Introduction 51
2. Materials and Methods 52
3. Image alignment 67
4. Software package 68
5. Demo images 68
6. Sharpening module 76
7. References 82