JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
Content Based Image Retrieval Based on A Novel Image Block Technique Combining Color and Edge Features |
| 영문제목(English Title) |
Content Based Image Retrieval Based on A Novel Image Block Technique Combining Color and Edge Features |
| 저자(Author) |
Goo-Rak Kwon
Zou Haoming
Sei-Seung Park
|
| 원문수록처(Citation) |
VOL 08 NO. 02 PP. 0185 ~ 0190 (2010. 04) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
In this paper we propose the CBIR algorithm which is based on a novel image block method that combined both color and edge feature. The main drawback of global histogram representation is dependent of the color without spatial or shape information, a new image block method that divided the image to 8 related blocks which contained more information of the image is utilized to extract image feature. Based on these 8 blocks, histogram equalization and edge detection techniques are also used for image retrieval. The experimental results show that the proposed image block method has better ability of characterizing the image contents than traditional block method and can perform the retrieval system efficiently. |
| 키워드(Keyword) |
CBIR
color feature
edge feature
image block matching
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| 파일첨부 |
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