Modifikasi Speed-Up Robust Feature (SURF) dengan Histogram of Oriented Gradient (HOG) pada Klasifikasi Citra Blur
DAFTAR PUSTAKA
Acharya, Tinku & Ray, Ajoy K. 2005. Image Processing – Principles and Applications.
Wiley-Blackwell: New Jersey.
Bay, Herbert, Tuytelaars, Tinne & Van Gool, Luc. 2006. Surf: Speeded Up Robust
Features. 9th European Conference on Computer Vision. 110(3):404-417.
Corburn, Craig A. 2002. Local Spatial Variability as a Measure of Image Texture: A
Multidimensional Approach to Image Texture Analysis and Classification. Thesis.
University of California.
Cruz-Roa, Angel, Caicedo, Juan C & Gonzalez, Fabio A. 2009. Visual Pattern Analysis in
Histopathology Images Using Bag of Features. CIARP 2009 : 14th Iberoamerican
Conference on Pattern Recognition 521-528.
Dalal, N. & Triggs, B. 2005. Histogram of Gradients for Human Detection. Computer
Vision and Pattern Recognition 1: 886-893.
Farhangi, Mohammad Mehdi, Soryani, Mohsen, & Fathy, Mahmood. 2013. Informative
Visual Words Construction to Improve Bag of Words Image Representation. IET
Image Process 8(5):310-318.
Gonzalez, R. & Woods, R. 2008. Digital Image Processing. 3rd Edition. Prentice Hall: New
Jersey.
Han, Jiawei & Kamber, Micheline. 2006. Data Mining: Concepts and Techniques. 2nd
Edition. Morgan Kaufmann: Amsterdam.
Harris, C. & Stephens, M. 1988. A Combined Corner and Edge Detector. Proceedings
International Conference Alvey Vision. 147-151.
Khrisnamoorthy, R. & Punidha, R. 2012. An Orthogonal Polynomials Transform-Based
Variable Block Size Adaptive Vector Quantization for Color Image Coding. IET Image
Process 6(6):635-646.
Lowe, K.D. 2004. Distinctive Image Features from Scale-Invariant Keypoints.
International Journal Computer Vision 60(2):91-110.
Marques, Oge. 2011. Practical Image and Video Processing Using Matlab. WileyBlackwell: New Jersey.
Mikolajczyk, Krystian & Schmid, Cordelia. 2001. Scale & Affine Invariant Interest Point
Detectors. International Journal of Computer Vision 60(1):63-86.
Nixon, Mark S. & Aguado, Alberto S. 2008. Feature Extraction and Image Processing.
Elsevier: London.
Raza, S. Husein, Parry, R.Mitchell, Moffit, Richard A., Young, Andrew N & Wang, May
D. 2011. An Analysis of Scale and Rotation Invariance in the Bag-of-feature Method
for Histopathological Image Classification. Medical Image Computing and ComputerAsissted Intervention 3:66-74.
Rassem, Taha H. & Khoo, Bee Ee. 2015. Performance evaluation of new colour histogrambased interest point detectors. Multimedia Tools and Application 74(24):11357-11398.
Salomon, Chris & Breckon, Toby. 2011. Fundamentals of Digital Image Processing.
Wiley-Blackwell: Oxford.
Universitas Sumatera Utara
51
Shukla, Tuhin, Mishra, Nishchol & Sharma, Sanjeev. 2013. Automatic Image Annotation
using SURF Features. International Journal Computer Applications 68(4):17-24.
Sivic, J. Zisserman. 2003. Video google: A Text Retrieval Approach to Object Matching
in Videos. International Conference on Computer Vision 2:1470-1477.
Suta, Loreta A. & Vaida, Mircea F. 2012. Global Blur Assessment And Blurred Region
Detection In Natural Images. Acta Technica Napocensis 53(2):30-35.
Szelizki, R. 2011. Computer Vision : Algorithms and Applications. Springer: New York.
Tiwari, Shamik , Shukla, V.P., Biradar, S.R. & Singh, A.K. 2014. Blur Classification Using
Wavelet Transform and Feed Forward Network. International Journal of Modern
Education and Computer Science 4:16-23.
Vignesh, R. & Sivabalakrishnan, M. A. 2015. Comperative Study on Blur Families and
Their Algorithmic Applications Methods to Make An Image Restoration By Image
Deblurring. International Journal of Scientific Progress and Research 11(1):8-11.
Zhou, Huiyu., Jiahua, Wu & Zhang, Jianguo. 2010. Digital Image Processing Part I. Ventus
Publishing ApS: Denmark.
Universitas Sumatera Utara
Acharya, Tinku & Ray, Ajoy K. 2005. Image Processing – Principles and Applications.
Wiley-Blackwell: New Jersey.
Bay, Herbert, Tuytelaars, Tinne & Van Gool, Luc. 2006. Surf: Speeded Up Robust
Features. 9th European Conference on Computer Vision. 110(3):404-417.
Corburn, Craig A. 2002. Local Spatial Variability as a Measure of Image Texture: A
Multidimensional Approach to Image Texture Analysis and Classification. Thesis.
University of California.
Cruz-Roa, Angel, Caicedo, Juan C & Gonzalez, Fabio A. 2009. Visual Pattern Analysis in
Histopathology Images Using Bag of Features. CIARP 2009 : 14th Iberoamerican
Conference on Pattern Recognition 521-528.
Dalal, N. & Triggs, B. 2005. Histogram of Gradients for Human Detection. Computer
Vision and Pattern Recognition 1: 886-893.
Farhangi, Mohammad Mehdi, Soryani, Mohsen, & Fathy, Mahmood. 2013. Informative
Visual Words Construction to Improve Bag of Words Image Representation. IET
Image Process 8(5):310-318.
Gonzalez, R. & Woods, R. 2008. Digital Image Processing. 3rd Edition. Prentice Hall: New
Jersey.
Han, Jiawei & Kamber, Micheline. 2006. Data Mining: Concepts and Techniques. 2nd
Edition. Morgan Kaufmann: Amsterdam.
Harris, C. & Stephens, M. 1988. A Combined Corner and Edge Detector. Proceedings
International Conference Alvey Vision. 147-151.
Khrisnamoorthy, R. & Punidha, R. 2012. An Orthogonal Polynomials Transform-Based
Variable Block Size Adaptive Vector Quantization for Color Image Coding. IET Image
Process 6(6):635-646.
Lowe, K.D. 2004. Distinctive Image Features from Scale-Invariant Keypoints.
International Journal Computer Vision 60(2):91-110.
Marques, Oge. 2011. Practical Image and Video Processing Using Matlab. WileyBlackwell: New Jersey.
Mikolajczyk, Krystian & Schmid, Cordelia. 2001. Scale & Affine Invariant Interest Point
Detectors. International Journal of Computer Vision 60(1):63-86.
Nixon, Mark S. & Aguado, Alberto S. 2008. Feature Extraction and Image Processing.
Elsevier: London.
Raza, S. Husein, Parry, R.Mitchell, Moffit, Richard A., Young, Andrew N & Wang, May
D. 2011. An Analysis of Scale and Rotation Invariance in the Bag-of-feature Method
for Histopathological Image Classification. Medical Image Computing and ComputerAsissted Intervention 3:66-74.
Rassem, Taha H. & Khoo, Bee Ee. 2015. Performance evaluation of new colour histogrambased interest point detectors. Multimedia Tools and Application 74(24):11357-11398.
Salomon, Chris & Breckon, Toby. 2011. Fundamentals of Digital Image Processing.
Wiley-Blackwell: Oxford.
Universitas Sumatera Utara
51
Shukla, Tuhin, Mishra, Nishchol & Sharma, Sanjeev. 2013. Automatic Image Annotation
using SURF Features. International Journal Computer Applications 68(4):17-24.
Sivic, J. Zisserman. 2003. Video google: A Text Retrieval Approach to Object Matching
in Videos. International Conference on Computer Vision 2:1470-1477.
Suta, Loreta A. & Vaida, Mircea F. 2012. Global Blur Assessment And Blurred Region
Detection In Natural Images. Acta Technica Napocensis 53(2):30-35.
Szelizki, R. 2011. Computer Vision : Algorithms and Applications. Springer: New York.
Tiwari, Shamik , Shukla, V.P., Biradar, S.R. & Singh, A.K. 2014. Blur Classification Using
Wavelet Transform and Feed Forward Network. International Journal of Modern
Education and Computer Science 4:16-23.
Vignesh, R. & Sivabalakrishnan, M. A. 2015. Comperative Study on Blur Families and
Their Algorithmic Applications Methods to Make An Image Restoration By Image
Deblurring. International Journal of Scientific Progress and Research 11(1):8-11.
Zhou, Huiyu., Jiahua, Wu & Zhang, Jianguo. 2010. Digital Image Processing Part I. Ventus
Publishing ApS: Denmark.
Universitas Sumatera Utara