2010년 춘계 학술대회
Current Result Document :
| 한글제목(Korean Title) |
지역 근처 차이를 이용한 텍스쳐 분류에 관한 연구 |
| 영문제목(English Title) |
Texture Classification Using Local Neighbor Differences |
| 저자(Author) |
뮤잠멜
팽소호
박민욱
김덕환
Khairul Muzzammil Saipullah
Shao-Hu Peng
Min-Wook Park
Deok-Hwan Kim
|
| 원문수록처(Citation) |
VOL 17 NO. 01 PP. 0377 ~ 0380 (2010. 04) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
This paper proposes texture descriptor for texture classification called Local Neighbor Differences (LND). LND is a high discriminating texture descriptor and also robust to illumination changes. The proposed descriptor utilizes the sign of differences between surrounding pixels in a local neighborhood. The differences of those pixels are thresholded to form an 8-bit binary codeword. The decimal values of these 8-bit code words are computed and they are called LND values. A histogram of the resulting LND values is created and used as feature to describe the texture information of an image. Experimental results, with respect to texture classification accuracies using OUTEX_TC_00001 test suite has been performed. The results show that LND outperforms LBP method, with average classification accuracies of 92.3% whereas that of local binary patterns (LBP) is 90.7%. |
| 키워드(Keyword) |
texture classification
texture descriptor
illumination invariant
local neighbor differences
|
| 파일첨부 |
PDF 다운로드
|
