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RGB 최대 주파수 인덱싱과 BW 클러스터링을 이용한 콘텐츠 기반 영상검색

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Author(s)
강지영
Issued Date
2008
Keyword
RGB 최대 주파수 인덱싱|BW 클러스터링|콘텐츠 기반 영상검색
Abstract
This thesis presents content based image retrieval (CBIR) using RGB maximum frequency indexing and BW clustering in order to improve the precision error of image retrieval algorithm that is using histograms. In first stage, RGB color image is segmented into R, G, and B components and their respective histograms are extracted. Each of these histograms are divided into 32 bins. The maximum pixel occurrence values are recorded in each bin's histogram, subsequently which are analyzed and compared. Hence, image retrieval using the maximum pixel value occurrences could be performed, and top 100 output results gathered. In second stage, the extracted 100 images are stored in a database, and are filtered once again using the number and the distributional rate of the clusters. After converting the query image from RGB to grayscale, this histogram is equalized in order to level the biased distributional rate. This equalized histogram is divided into 8 bins, and converted to binary. Then, total number of clusters and percent area of clusters with respect to image is computed. This result is compared with the similar features of the Top 100 matches drawn through the first step.
Therefore, the number of bins is changed by applying the existing grayscale histogram algorithm in this research. Similar bin divisions are also performed over color histogram, that involves each of R, G and B components.
Finally, The proposed algorithm is analyzed through performance tests and compared against existing methods. The tests verify that proposed algorithm demonstrates better results, and improves precision in the rate of search and priority. Hence, the proposed algorithm is better than the existing grayscale methods.
Alternative Title
Content based Image Retrieval using RGB Maximum Frequency Indexing and BW Clustering
Alternative Author(s)
Kang, Ji Young
Affiliation
조선대학교 대학원
Department
일반대학원 정보통신공학과
Advisor
박종안
Awarded Date
2008-08
Table Of Contents
도목 = ⅲ
표목차 = ⅴ
ABSTRACT = ⅵ
Ⅰ. 서론 = 1
A. 연구의 배경 및 목적 = 1
B. 연구의 내용 및 구성 = 3
II. 콘텐츠 기반 영상검색 시스템 = 5
A. 콘텐츠 기반 영상검색 시스템의 개념 및 구성 = 5
B. 칼라를 이용한 특성 표현 = 10
C. 칼라 영상검색 = 14
D. 모폴로지 영상검색 = 17
Ⅲ. 기존 알고리즘 = 22
A. 그레이스케일 히스토그램 알고리즘 = 22
Ⅳ. 영상검색 알고리즘 설계 = 25
A. 제안한 알고리즘 = 25
V. 시뮬레이션 = 32
A. 결과 및 분석 = 33
Ⅵ. 결론 = 45
참고문헌 = 46
Degree
Master
Publisher
조선대학교 대학원
Citation
강지영. (2008). RGB 최대 주파수 인덱싱과 BW 클러스터링을 이용한 콘텐츠 기반 영상검색.
Type
Dissertation
URI
https://oak.chosun.ac.kr/handle/2020.oak/7262
http://chosun.dcollection.net/common/orgView/200000236485
Appears in Collections:
General Graduate School > 3. Theses(Master)
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