An image retrieval technique using rotationally invariant Gabor features and a localization method

Proceedings - IEEE International Conference on Multimedia and Expo

Volumn 2, Issue , 2003, Pages II701-II704

  Shin, Daekyu ^a   Kim, Daewon ^a   Kim, Hyunsool ^a   Park, Sanghui ^b  

^a SAMSUNG Electronics   (South Korea)

^b Yonsei University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; FEATURE EXTRACTION; TEXTURES; VECTOR QUANTIZATION;

CONTENT BASED IMAGE RETRIEVAL; GABOR FUNCTION; GABOR WAVELET FILTERS; IMAGE RETRIEVAL TECHNIQUES; LOCAL TEXTURE FEATURE; LOCALIZATION METHOD; ROTATED IMAGES; TEXTURE SEGMENTATION;

GABOR FILTERS;

EID: 38449107402     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2003.1221713     Document Type: Conference Paper

References (5)

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2. Robert Porter and Nishan Canagarajah, "Gabor Filterfor Rotation Invariant Texture Classification", IEEE International Symposium on Circuits and Systems,June 9-12 1997.
3. C. Schmid and R. Mohr, "Local grayvalue invariantsfor image retrieval", lEEE Trans. I'attem Analysisand Machine Intelligence, voI. 19, 110. 5, pp. 530-535,1997.
4. C. Harris and M. Stephens, "A combined comer andedge detector", Proc. 4th Alvey Vision Conference,pp. 147-151, 1988.
5. Dae-Kyu Shin, Hyun-Sool Kim, Tae-Yun Chung,Taek-Soo Kim and Sang-Hui Park, "Image retrievalusing VQ-based local Gabor feature", ElectronicsLetters, voI. 38, no.11 , pp. 505-507,23 May 2002.