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Volumn 5857 LNCS, Issue , 2009, Pages 66-77

Optimal discrete wavelet frames features for texture-based image retrieval applications

Author keywords

Content based image retrieval; Discrete wavelet frames; Texture analysis

Indexed keywords

BRODATZ TEXTURES; CHANNEL SELECTION; CONTENT BASED IMAGE RETRIEVAL; DATA SETS; DECOMPOSITION LEVEL; DISCRETE WAVELET FRAME; DISTANCE METRICS; OPTIMAL CONFIGURATIONS; OPTIMUM VALUE; RETRIEVAL PERFORMANCE; STATISTICAL FUNCTIONS; TEXTURE ANALYSIS; TEXTURE FEATURE EXTRACTION; TEXTURE-BASED IMAGE RETRIEVAL; WAVELET BASIS;

EID: 76549093655     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-05036-7_8     Document Type: Conference Paper
Times cited : (6)

References (9)
  • 1
    • 0029409269 scopus 로고
    • Texture classification and segmentation using wavelet frames
    • Unser, M.: Texture classification and segmentation using wavelet frames. IEEE Transactions on Image Processing 4, 1549-1560 (1995)
    • (1995) IEEE Transactions on Image Processing , vol.4 , pp. 1549-1560
    • Unser, M.1
  • 4
    • 4744350895 scopus 로고    scopus 로고
    • Color and texture image retrieval using chromaticity histograms and wavelet frames
    • Liapis, S., Tziritas, G.: Color and texture image retrieval using chromaticity histograms and wavelet frames. IEEE Transactions on Multimedia 6, 676-686 (2004)
    • (2004) IEEE Transactions on Multimedia , vol.6 , pp. 676-686
    • Liapis, S.1    Tziritas, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.