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Volumn 261, Issue , 2015, Pages 87-111

Construction of image reduction operators using averaging aggregation functions

Author keywords

Aggregation functions; Averaging functions; Image reduction; Local reduction operators; Reduction operators

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 84922236397     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2014.03.008     Document Type: Article
Times cited : (80)

References (36)
  • 1
    • 80053633453 scopus 로고    scopus 로고
    • Construction of interval-valued fuzzy relations with application to the generation of fuzzy edge images
    • E. Barrenechea, H. Bustince, B. De Baets, and C. Lopez-Molina Construction of interval-valued fuzzy relations with application to the generation of fuzzy edge images IEEE Trans. Fuzzy Syst. 19 2011 819 830
    • (2011) IEEE Trans. Fuzzy Syst. , vol.19 , pp. 819-830
    • Barrenechea, E.1    Bustince, H.2    De Baets, B.3    Lopez-Molina, C.4
  • 5
    • 34247170413 scopus 로고    scopus 로고
    • Semiautoduality in a restricted family of aggregation operators
    • H. Bustince, J. Montero, E. Barrenechea, and M. Pagola Semiautoduality in a restricted family of aggregation operators Fuzzy Sets Syst. 158 2007 1360 1377
    • (2007) Fuzzy Sets Syst. , vol.158 , pp. 1360-1377
    • Bustince, H.1    Montero, J.2    Barrenechea, E.3    Pagola, M.4
  • 6
    • 33750710399 scopus 로고    scopus 로고
    • Construction of fuzzy indices from fuzzy DI-subsethood measures: Application to the global comparison of images
    • H. Bustince, M. Pagola, and E. Barrenechea Construction of fuzzy indices from fuzzy DI-subsethood measures: application to the global comparison of images Inf. Sci. 177 2007 906 929
    • (2007) Inf. Sci. , vol.177 , pp. 906-929
    • Bustince, H.1    Pagola, M.2    Barrenechea, E.3
  • 7
    • 67349130884 scopus 로고    scopus 로고
    • Interval-valued fuzzy sets constructed from matrices: Application to edge detection
    • H. Bustince, E. Barrenechea, M. Pagola, and J. Fernandez Interval-valued fuzzy sets constructed from matrices: application to edge detection Fuzzy Sets Syst. 160 2009 1819 1840
    • (2009) Fuzzy Sets Syst. , vol.160 , pp. 1819-1840
    • Bustince, H.1    Barrenechea, E.2    Pagola, M.3    Fernandez, J.4
  • 11
    • 77949485464 scopus 로고    scopus 로고
    • Aggregation functions based on penalties
    • T. Calvo, and G. Beliakov Aggregation functions based on penalties Fuzzy Sets Syst. 161 2010 1420 1436
    • (2010) Fuzzy Sets Syst. , vol.161 , pp. 1420-1436
    • Calvo, T.1    Beliakov, G.2
  • 12
    • 33947284013 scopus 로고    scopus 로고
    • Compression and decompression of images with discrete fuzzy transform
    • F. Di Martino, and S. Sessa Compression and decompression of images with discrete fuzzy transform Inf. Sci. 177 2007 2349 2362
    • (2007) Inf. Sci. , vol.177 , pp. 2349-2362
    • Di Martino, F.1    Sessa, S.2
  • 13
    • 40049087822 scopus 로고    scopus 로고
    • An image coding/decoding method based on direct and inverse fuzzy transforms
    • F. Di Martino, V. Loia, I. Perfilieva, and S. Sessa An image coding/decoding method based on direct and inverse fuzzy transforms Int. J. Approx. Reason. 48 2008 110 131
    • (2008) Int. J. Approx. Reason. , vol.48 , pp. 110-131
    • Di Martino, F.1    Loia, V.2    Perfilieva, I.3    Sessa, S.4
  • 14
    • 70450225253 scopus 로고    scopus 로고
    • A segmentation method for image compressed by fuzzy transform
    • F. Di Martino, V. Loia, and S. Sessa A segmentation method for image compressed by fuzzy transform Fuzzy Sets Syst. 161 2010 19 31
    • (2010) Fuzzy Sets Syst. , vol.161 , pp. 19-31
    • Di Martino, F.1    Loia, V.2    Sessa, S.3
  • 18
    • 0029306925 scopus 로고
    • An analysis of image interpolation, differentiation, and reduction using local polynomial fits
    • E. Karabassis, and M.E. Spetsakis An analysis of image interpolation, differentiation, and reduction using local polynomial fits Graph. Models Image Process. 57 1995 183 196
    • (1995) Graph. Models Image Process. , vol.57 , pp. 183-196
    • Karabassis, E.1    Spetsakis, M.E.2
  • 20
    • 0019654284 scopus 로고
    • Cubic convolution interpolation for digital image processing
    • R.G. Keys Cubic convolution interpolation for digital image processing IEEE Trans. Acoust. Speech Signal Process. 29 1981 1153 1160
    • (1981) IEEE Trans. Acoust. Speech Signal Process. , vol.29 , pp. 1153-1160
    • Keys, R.G.1
  • 22
    • 0033233099 scopus 로고    scopus 로고
    • Survey: Interpolation methods in medical image processing
    • T.M. Lehmann, C. Gonner, and K. Spitzer Survey: interpolation methods in medical image processing IEEE Trans. Med. Imaging 18 1999 1049 1075
    • (1999) IEEE Trans. Med. Imaging , vol.18 , pp. 1049-1075
    • Lehmann, T.M.1    Gonner, C.2    Spitzer, K.3
  • 23
    • 13544263233 scopus 로고    scopus 로고
    • Fuzzy relation equations for coding/decoding processes of images and videos
    • V. Loia, and S. Sessa Fuzzy relation equations for coding/decoding processes of images and videos Inf. Sci. 171 2005 145 172
    • (2005) Inf. Sci. , vol.171 , pp. 145-172
    • Loia, V.1    Sessa, S.2
  • 25
    • 0035443388 scopus 로고    scopus 로고
    • Least-squares image resizing using finite differences
    • A. Muoz, T. Blu, and M. Unser Least-squares image resizing using finite differences IEEE Trans. Image Process. 10 2001 1365 1378
    • (2001) IEEE Trans. Image Process. , vol.10 , pp. 1365-1378
    • Muoz, A.1    Blu, T.2    Unser, M.3
  • 26
    • 85032751363 scopus 로고    scopus 로고
    • Super-resolution image reconstruction: A technical overview
    • S. Park, M. Park, and M. Kang Super-resolution image reconstruction: a technical overview IEEE Signal Process. Mag. 20 2003 21 36
    • (2003) IEEE Signal Process. Mag. , vol.20 , pp. 21-36
    • Park, S.1    Park, M.2    Kang, M.3
  • 27
    • 33644989946 scopus 로고    scopus 로고
    • Fuzzy transforms: Theory and applications
    • I. Perfilieva Fuzzy transforms: theory and applications Fuzzy Sets Syst. 157 2006 993 1023
    • (2006) Fuzzy Sets Syst. , vol.157 , pp. 993-1023
    • Perfilieva, I.1
  • 28
    • 33745155722 scopus 로고    scopus 로고
    • Fuzzy transform and their applications to image compression
    • I. Perfilieva Fuzzy transform and their applications to image compression Lecture Notes in Artificial Intelligence 3849 2006 19 31
    • (2006) Lecture Notes in Artificial Intelligence , vol.3849 , pp. 19-31
    • Perfilieva, I.1
  • 29
    • 77953650973 scopus 로고    scopus 로고
    • Fuzzy transform of monotone functions with application to image compression
    • I. Perfilieva, and B. De Baets Fuzzy transform of monotone functions with application to image compression Inf. Sci. 180 2010 3304 3315
    • (2010) Inf. Sci. , vol.180 , pp. 3304-3315
    • Perfilieva, I.1    De Baets, B.2
  • 31
    • 0002284825 scopus 로고
    • Sobre funciones de negación en la teoría de conjuntos difusos
    • (in Spanish). English translation reprinted S. Barro, A. Bugarin, A. Sobrino, Advances in Fuzzy Logic 1998 Universidad de Santiago de Compostela 31 43
    • E. Trillas Sobre funciones de negación en la teoría de conjuntos difusos Stochastica III 1 1979 47 59 (in Spanish). English translation reprinted S. Barro, A. Bugarin, A. Sobrino, Advances in Fuzzy Logic 1998 Universidad de Santiago de Compostela 31 43
    • (1979) Stochastica , vol.III , Issue.1 , pp. 47-59
    • Trillas, E.1
  • 32
    • 0029275627 scopus 로고
    • Enlargement or reduction of digital images with minimum loss of information
    • M. Unser, A. Aldroubi, and M. Eden Enlargement or reduction of digital images with minimum loss of information IEEE Trans. Image Process. 4 1995 247 258
    • (1995) IEEE Trans. Image Process. , vol.4 , pp. 247-258
    • Unser, M.1    Aldroubi, A.2    Eden, M.3
  • 33
    • 0023855863 scopus 로고
    • Ordered weighted averaging aggregation operators in multicriteria decision making
    • R.R. Yager Ordered weighted averaging aggregation operators in multicriteria decision making IEEE Trans. Syst. Man Cybern. 18 1988 183 190
    • (1988) IEEE Trans. Syst. Man Cybern. , vol.18 , pp. 183-190
    • Yager, R.R.1
  • 34
    • 33847208486 scopus 로고    scopus 로고
    • Centered OWA operators
    • R.R. Yager Centered OWA operators Soft Comput. 11 2007 631 639
    • (2007) Soft Comput. , vol.11 , pp. 631-639
    • Yager, R.R.1
  • 36
    • 49449088902 scopus 로고    scopus 로고
    • Learning a Mahalanobis distance metric for data clustering and classification
    • S. Xiang, F. Nie, and C. Zhang Learning a Mahalanobis distance metric for data clustering and classification Pattern Recognit. 41 2008 3600 3612
    • (2008) Pattern Recognit. , vol.41 , pp. 3600-3612
    • Xiang, S.1    Nie, F.2    Zhang, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.