Βιβλιογραφία

• R. Gonzalez and R. Woods, Digital image processing, 4th Edition, Pearson, 2018.
• R. Gonzalez and R. Woods, Ψηφιακή Επεξεργασία Εικόνας, Εκδόσεις Τζιόλα, 2018.
• W. K. Pratt, Digital Image Processing, 4th Edition, J. Wiley and sons, 2007.
• Ν. Παπαμάρκος, Ψηφιακή Επεξεργασία και Ανάλυση Εικόνας, 3η Έκδοση, Κρίκος, 2017.
• M. Sonka, V. Hlavac and R.D. Boyle, Image Processing, Analysis and Machine Vision, 4th Edition, Cengage Learning, 2014.
• M. Nixon and A. Aguado, Feature Extraction and Image Processing for Computer Vision, 3rd Edition, Academic Press, 2013.
• A. Jain and R. Dubes, Algorithms for clustering data, Prentice Hall, 1988.
• J. Sethian, Level Set Methods and Fast Marching Methods, Cambridge University Press, 1999.

Άρθρα

• D. Ziou and S. Tabbone, Edge Detection Techniques - An Overview,
  International Journal of Pattern Recognition and Image Analysis, 1998.
• D. Marr and E. Hildreth, Theory of Edge Detection,
  Proceedings of the Royal Society of London. Series B, Biological Sciences, 1980.
• J. Canny, A Computational Approach to Edge Detection,
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986.
• R. Deriche, Using Canny' s criteria to derive a recursively implemented optimal edge detector,
  International Journal of Computer Vision, 1987.
• J. Shen and S. Castan, An optimal linear operator for step edge detection,
  CVGIP: Graphical Models and Image Processing, 1992.
• A. Jain, M. Murty and P. Flynn, Data Clustering: A Review,
  ACM Computing Surveys, 1999.
• N. Otsu, A threshold selection method for gray-level histograms,
  IEEE Transactions on Systems, Man, and Cybernetics, 1979.
• D. Comaniciu and P. Meer, Mean Shift : a robust approach towards feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002.
• S. Horowitz and T. Pavlidis, Picture segmentation by a tree traversal algorithm,
  Journal of the ACM, 1976.
• H. Samet, The quadtree and related hierarchical data structures,
  ACM Computing Surveys, 1984.
• P. Felzenszwalb and D. Huttenlocher, Efficient graph-based image segmentation,
  International Journal of Computer Vision, 2004.
• R. Achanta et al., SLIC superpixels compared to state-of-the-art superpixel methods,
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012.
• R. Adams and L. Bischof, Seeded region growing,
  IEEE Transactions on Pattern Analysis and Machine Intellegence, 1994.
• J. Fan, G. Zeng, M. Body and M.-S. Hacid, Seeded region growing: an extensive and comparative study, Pattern Recognition Letters, 2005.
• J. Shi and J. Malik, Normalized cuts and image segmentation,
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000.
• Y. Boykov and V. Kolmogorov, An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004.
• C. Wang, N. Komodakis and N. Paragios, Markov Random Field modeling, inference and learning in computer vision and image understanding: A survey,
  Computer Vision and Image Understanding, 2013.
• J. Besag, On the statistical analysis of dirty pictures, Journal of the Royal Statistical Society, Series B, 1986.
• D. Greig, B. Porteous and A. Seheult, Exact maximum a posteriori estimation for binary images, Journal of the Royal Statistical Society, Series B, 1989.
• Y. Boykov, O. Veksler and R. Zabih, Fast approximate energy minimization via graph cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001.
• N. Komodakis and G. Tziritas, Approximate labeling via graph cuts based on linear programming, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007.
• M. Kass, A. Witkin and D. Terzopoulos, Snakes: Active contour models,
  International Journal of Computer Vision, 1988.
• V. Caselles, R. Kimmel and G. Sapiro, Geodesic active contours,
  International Journal of Computer Vision, 1997.
• J. Sethian, Level set method: an act of violence, American Scientist, 1996.
• J. Sethian, Fast Marching methods, SIAM Review, 1999.
• E. Sifakis, C. Garcia and G. Tziritas, Bayesian level sets for image segmentation,
  Journal of Visual Communication and Image Representation, 2002.

Σημειώσεις

• Ανίχνευση ακμών
• Ανάλυση ιστογράμματος και ομαδοποίηση δεδομένων
• Τμηματοποίηση σε τοπολογικά συνεκτικές περιοχές
• Τμηματοποίηση με χρήση μοντέλου Markov ή Gibbs

MATLAB

• MATLAB primer
• MATLAB Image Processing Toolbox
• Image Segmentation and Analysis Toolbox
• Feature Detection and Extraction Toolbox

Περιοδικά

• IEEE Transactions on Image Processing
• IEEE Transactions on Pattern Analysis and Machine Intelligence
• Computer Vision and Image Understanding
• Image and Vision Computing
• International Journal of Computer Vision