nach oben

International Journal of Multimedia Information Retrieval

Erschienen in:

01.10.2012 | Regular Paper

Directional local extrema patterns: a new descriptor for content based image retrieval

verfasst von: Subrahmanyam Murala, R. P. Maheshwari, R. Balasubramanian

Erschienen in: International Journal of Multimedia Information Retrieval | Ausgabe 3/2012

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

In this paper, a new algorithm using directional local extrema patterns meant for content-based image retrieval application is proposed. The standard local binary pattern (LBP) encodes the relationship between reference pixel and its surrounding neighbors by comparing gray-level values. The proposed method differs from the existing LBP in a manner that it extracts the directional edge information based on local extrema in 0\(^{\circ }\), 45\(^{\circ }\), 90\(^{\circ }\), and 135\(^{\circ }\) directions in an image. Performance is compared with LBP, block-based LBP (BLK_LBP), center-symmetric local binary pattern (CS-LBP), local edge patterns for segmentation (LEPSEG), local edge patterns for image retrieval (LEPINV), and other existing transform domain methods by conducting four experiments on benchmark databases viz. Corel (DB1) and Brodatz (DB2) databases. The results after being investigated show a significant improvement in terms of their evaluation measures as compared with other existing methods on respective databases.

Vorheriger Artikel Optical music recognition: state-of-the-art and open issues

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Rui Y, Huang TS (1999) Image retrieval: current techniques, promising directions and open issues. J Vis Commun Image Represent 10:39–62CrossRef

Smeulders AWM, Worring M, Santini S, Gupta A, Jain R (2000) Content-based image retrieval at the end of the early years. IEEE Trans Pattern Anal Mach Intell 22(12):1349–1380CrossRef

Kokare M, Chatterji BN, Biswas PK (2002) A survey on current content based image retrieval methods. IETE J Res 48(3&4):261–271

Liu Y, Zhang D, Lu G, Ma W-Y (2007) A survey of content-based image retrieval with high-level semantics. J Pattern Recognit 40:262–282MATHCrossRef

Ahmadian A, Mostafa A (2003) An efficient texture classification algorithm using Gabor wavelet. In: 25th annual international conference of the IEEE EMBS, pp 930–933, Cancun, Mexico

Do MN, Vetterli M (2002) Wavelet-based texture retrieval using generalized Gaussian density and Kullback-leibler distance. IEEE Trans Image Process 11(2):146–158MathSciNetCrossRef

Unser M (1993) Texture classification by wavelet packet signatures. IEEE Trans Pattern Anal Mach Intell 15(11):1186–1191CrossRef

Manjunath BS, Ma WY (1996) Texture features for browsing and retrieval of image data. IEEE Trans Pattern Anal Mach Intell 18(8):837–842CrossRef

Kokare M, Biswas PK, Chatterji BN (2007) Texture image retrieval using rotated wavelet filters. J Pattern Recognit Lett 28:1240–1249CrossRef

10.

Kokare M, Biswas PK, Chatterji BN (2005) Texture image retrieval using new rotated complex wavelet filters. IEEE Trans Syst Man Cybernet 33(6):1168–1178CrossRef

11.

Kokare M, Biswas PK, Chatterji BN (2006) Rotation-invariant texture image retrieval using rotated complex wavelet filters. IEEE Trans Syst Man Cybernet 36(6):1273–1282CrossRef

12.

Ojala T, Pietikainen M, Harwood D (1996) A comparative sudy of texture measures with classification based on feature distributions. J Pattern Recognit 29(1):51–59CrossRef

13.

Ojala T, Pietikainen M, Maenpaa T (2002) Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans Pattern Anal Mach Intell 24(7):971–987CrossRef

14.

Pietikainen M, Ojala T, Scruggs T, Bowyer KW, Jin C, Hoffman K, Marques J, Jacsik M, Worek W (2000) Overview of the face recognition using feature distributions. J Pattern Recognit 33(1):43–52CrossRef

15.

Ahonen T, Hadid A, Pietikainen M (2006) Face description with local binary patterns: applications to face recognition. IEEE Trans Pattern Anal Mach Intell 28(12):2037–2041CrossRef

16.

Zhao G, Pietikainen M (2007) Dynamic texture recognition using local binary patterns with an application to facial expressions. IEEE Trans Pattern Anal Mach Intell 29(6):915–928CrossRef

17.

Heikkiala M, Pietikainen M (2006) A texture based method for modeling the background and detecting moving objects. IEEE Trans Pattern Anal Mach Intell 28(4):657–662CrossRef

18.

Huang X, Li SZ, Wang Y (2004) Shape localization based on statistical method using extended local binary patterns. In: Proc Int Conf Image and Graphics, pp 184–187

19.

Heikkila M, Pietikainen M, Schmid C (2009) Description of interest regions with local binary patterns. J Pattern Recognit 42:425–436CrossRef

20.

Li M, Staunton RC (2008) Optimum Gabor filter design and local binary patterns for texture segmentation. J Pattern Recognit 29:664–672CrossRef

21.

Zhang B, Gao Y, Zhao S, Liu J (2010) Local derivative pattern versus local binary pattern: Face recognition with higher-order local pattern descriptor. IEEE Trans Image Process 19(2):533–544MathSciNetCrossRef

22.

Takala V, Ahonen T, Pietikainen M (2005) Block-based methods for image retrieval using local binary patterns. SCIA 2005, LNCS, vol 3450, pp 882–891

23.

Heikkil M, Pietikainen M, Schmid C (2009) Description of interest regions with local binary patterns. Pattern Recognit 42:425– 436CrossRef

24.

Yao C-H, Chen S-Y (2003) Retrieval of translated, rotated and scaled color textures. Pattern Recognit 36:913–929CrossRef

25.

Corel-1 K image database. [Online]. http://wang.ist.psu.edu/docs/rela-ted.shtml

26.

Brodatz P (1996) Textures: a photographic album for artists and designers. Dover, New York

27.

University of Southern California, Signal and Image Processing Institute, Rotated Textures. [Online]. http://sipi.usc.edu/database/

Titel: Directional local extrema patterns: a new descriptor for content based image retrieval
verfasst von: Subrahmanyam Murala
R. P. Maheshwari
R. Balasubramanian
Publikationsdatum: 01.10.2012
Verlag: Springer-Verlag
Erschienen in: International Journal of Multimedia Information Retrieval / Ausgabe 3/2012
Print ISSN: 2192-6611
Elektronische ISSN: 2192-662X
DOI: https://doi.org/10.1007/s13735-012-0008-2

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"