ΧΑΡΑΛΑΜΠΟΣ Π. ΣΤΡΟΥΘΟΠΟΥΛΟΣ

 

 

ΚΑΘΗΓΗΤΗΣ

τμ. ΠΛΗΡΟΦΟΡΙΚΗΣ & ΕΠΙΚΟΙΝΩΝΙΩΝ

ΤΕΙ ΣΕΡΡΩΝ

 

 

 

 

 

 

 

 

 

 

ΒΙΟΓΡΑΦΙΚΟ ΣΗΜΕΙΩΜΑ

 

ΣΠΟΥΔΕΣ - ΤΙΤΛΟΙ - ΔΡΑΣΗ

 

ΕΡΕΥΝΗΤΙΚΟ ΚΑΙ ΕΚΠΑΙΔΕΥΤΙΚΟ ΕΡΓΟ

 

 

 

 

 

 

 

 

 

 

 

 

ΣΕΡΡΕΣ ΑΥΓΟΥΣΤΟΣ 2009

 

ATOMIKA ΣTOIXEIA

Ονοματεπώνυμο

Ημερομηνία γεννήσεως

:

:

Χαράλαμπος Στρουθόπουλος

26 Μαΐου 1962

Τόπος γεννήσεως

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Δράμα

Διεύθυνση κατοικίας

:

Πατρ.Φρηγορίου Ζ΄ 34, 62125, Σέρρες

Τηλέφωνο Εργασίας

Κινητό τηλέφωνο

e-mail

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:

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2321-49150

6979790304

strch@teiser.gr

Απασχόληση

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Καθηγητής τμ. Πληροφορικής & Επικοινωνιών ΣΤΕΦ ΤΕΙ  Σερρών.

Προϊστάμενος του τμήματος.

Ξένες γλώσσες

:

Αγγλική.

Οικογενειακή κατάσταση

:

Δύο παιδιά.

 

ΣΠΟΥΔΕΣ

1. 1985 - Δίπλωμα Ηλεκτρολόγου Μηχανικού της Πολυτεχνικής Σχολής του Πανεπιστημίου Πατρών.

2. 1999 - Διδακτορικό δίπλωμα του Τμήματος Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών της Πολυτεχνικής Σχολής του Δημοκρίτειου Πανεπιστήμιου Θράκης με βαθμό "ΑΡΙΣΤΑ".

ΠΕΠΡΑΓΜΕΝΑ  ΤΗΣ ΤΕΛΕΥΤΑΙΑΣ ΤΡΙΕΤΙΑΣ ΣΤΟ ΤΕΙ ΣΕΡΡΩΝ

Ø      Διορισμός σε κενή οργανική θέση Εκπαιδευτικού Προσωπικού (ΕΠ) της βαθμίδος Καθηγητή, με γνωστικό αντικείμενο «Επεξεργασία Εικόνας και Σημάτων» του Τμήματος Πληροφορικής και Επικοινωνιών, του ΤΕΙ Σερρών (Φ1/29107/Ε5/18-4-2002 Υ.Α. – ΦΕΚ 106/τ. Ν.Π.Δ.Δ./20-5-2002)

Ø      Ορκωμοσία και ανάληψη καθηκόντων 3-6-2002.

Ø      Μετατροπή θέσης τακτικού μέλους Ε.Π. σε προσωποπαγή θέση (Φ18/108210/Ε5/15-10-02 Υ.Α.)

Α. Εκπαιδευτικό έργο (3/6/2002 – σήμερα)

Ø      Διδασκαλία θεωρίας του μαθήματος «Αντικειμενοστραφής Προγραμματισμός».

Ø      Διδασκαλία θεωρίας και συγγραφή σημειώσεων του μαθήματος «Αναγνώριση Προτύπων – Νευρωνικά δίκτυα» .

Ø      Διδασκαλία θεωρίας του μαθήματος «Ψηφιακή Επεξεργασία Εικόνας.

Ø      Επίβλεψη εκπόνησης εννέα (9) πτυχιακών εργασιών.

-         Υλοποίηση ασαφούς ταξινομητού με νευρωνικό δίκτυο για την αναγνώριση χειρόγραφων αριθμητικών συμβόλων.

-         Λογισμικό εισαγωγής, διαχείρισης και εξαγωγής δεδομένων για την υλοποίηση ωρολογίου προγράμματος.

-         Διόρθωση της λοξότητας ψηφιοποιημένων εγγράφων.

-         Μέθοδοι πολυκατωφλίωσης ψηφιακών εικόνων αποχρώσεων του γκρι.. Υλοπoίηση εκπαιδευτικού λογισμικού.

-         Μέθοδοι δυαδικοποίησης ψηφιακών εικόνων αποχρώσεων του γκρι. Υλοπoίηση εκπαιδευτικού λογισμικού.

-         Λογισμικού αυτόματης υποδικτύωσης και υπερδικτύωσης σε δίκτυα Η/Υ με διευθυνσιοδότηση IP.

-         Μορφολογία σε δυαδικές ψηφιακές εικόνες. Υλοπoίηση εκπαιδευτικού λογισμικού.

-         Εύρεση ευθειών σε δυαδικές εικόνες με τον μετασχηματισμό του Hough. Υλοπoίηση εκπαιδευτικού λογισμικού.

-         Διερεύνηση, παρουσίαση και αξιολόγηση προϊόντων λογισμικού υλοποίησης εφαρμογών για βάσεις δεδομένων.

 

Β.  Δράσεις

Ø      Επιστημονικός υπεύθυνος του ερευνητικού προγράμματος με θέμα «ΔΙΑΡΘΡΩΣΗ ΠΕΡΙΕΧΟΜΕΝΟΥ ΕΓΧΡΩΜΩΝ ΕΓΓΡΑΦΩΝ», Υποέργο 3 της Ενέργειας 2.2.ζ «Ενίσχυση ερευνητικών ομάδων του ΤΕΙ Σερρών» του έργου «Αρχιμήδης: Ενίσχυση ερευνητικών ομάδων στα ΤΕΙ» του Β΄ ΕΠΕΑΕΚ – Γ΄ ΚΠΣ

Ø      Μέλος της ερευνητικής ομάδος του ερευνητικού προγράμματος με θέμα «ΑΚΡΙΒΗΣ ΧΑΡΑΚΤΗΡΙΣΜΟΣ ΤΟΥ ΜΕΣΟΥ ΔΙΑΔΟΣΗΣ ΣΤΗΝ ΕΛΛΗΝΙΚΗ ΕΠΙΚΡΑΤΕΙΑ ΣΕ ΧΙΛΙΟΣΤΟΜΕΤΡΙΚΑ ΜΗΚΗ ΚΥΜΑΤΟΣ ΑΠΟ ΔΕΔΟΜΕΝΑ ΤΟΠΙΚΗΣ ΚΛΙΜΑΤΟΛΟΓΙΑΣ, ΠΡΟΣΔΙΟΡΙΣΜΟΣ ΤΗΣ ΕΠΙΔΡΑΣΗΣ ΤΗΣ ΑΤΜΟΣΦΑΙΡΑΣ ΣΕ ΑΣΥΡΜΑΤΑ ΣΥΣΤΗΜΑΤΑ ΕΠΙΚΟΙΝΩΝΙΩΝ ΚΙ ΑΞΙΟΛΟΓΗΣΗ ΣΤΑΤΙΚΩΝ ΚΑΙ ΔΥΝΑΜΙΚΩΝ ΤΕΧΝΙΚΩΝ ΓΙΑ ΤΗΝ ΒΕΛΤΙΩΣΗ ΤΗΣ ΑΠΟΔΟΣΗΣ ΤΩΝ..», Υποέργο 6 της Ενέργειας 2.2.ζ «Ενίσχυση ερευνητικών ομάδων του ΤΕΙ Σερρών» του έργου «Αρχιμήδης: Ενίσχυση ερευνητικών ομάδων στα ΤΕΙ» του Β΄ ΕΠΕΑΕΚ – Γ΄ ΚΠΣ

Ø      Αξιολογητής του ΥΠΕΠΘ των ερευνητικών προτάσεων των προγραμμάτων Ενίσχυσης ερευνητικών ομάδων στα ΤΕΙ «Αρχιμήδης Ι» και «Αρχιμήδης ΙΙ»

Ø      Υπεύθυνος Συντονισμού του Πακέτου Π.Ε.1, του προγράμματος «Ενίσχυση σπουδών Πληροφορικής στο ΤΕΙ Σερρών» Ενέργεια 2.2.γ,

Ø      Επιστημονικός Υπεύθυνος του προγράμματος, «Ενίσχυση σπουδών Πληροφορικής στο ΤΕΙ Σερρών» Ενέργεια 2.2.γ

Γ. Διοικητικό έργο

Προϊστάμενος του τμήματος Πληροφορικής & Επικοινωνιών επί τρία έτη.
ΚΑΤΑΛΟΓΟΣ ΕΠΙΣΤΗΜΟΝΙΚΩΝ ΕΡΓΑΣΙΩΝ

Α. Διδακτορική Διατριβή

"Μέθοδοι Διαχωρισμού και Αναγνώρισης Εικόνων", Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών της Πολυτεχνικής Σχολής του Δ. Π. Θράκης, Ξάνθη 1999.

 

Β. Πρωτότυπες εργασίες σε έγκυρα διεθνή επιστημονικά περιοδικά με κριτές

[1]                    C. Strouthopoulos, N. Papamarkos and C. Chamzas, “Identification of Text-Only Areas in Mixed-Type Documents”, Engineering Applications of Artificial Intelligence, Vol. 10, No. 4, pp. 387-401, 1997.

[2]                    C. Strouthopoulos and N. Papamarkos, “Text Identification for Document Image Analysis Using a Neural Network”, Image and Vision Computing Journal, Special Issue on Document Image Processing and Multimedia Environments, Vol. 16, Iss. 12, pp. 879-896, 1998.

 

[3]                    C. Strouthopoulos, N. Papamarkos and C. Chamzas, “PLA using RLSA and a Neural Network”, Engineering Applications of Artificial Intelligence, Vol. 12, No. 2, pp. 119-138, 1999.

 

[4]                    N. Papamarkos, C. Strouthopoulos and I. Andreadis, “Multithresholding of color and gray-level images through a neural network technique”, Image and Vision Computing Journal, Vol. 18, pp. 213-222, 2000.

[5]                    C. Strouthopoulos, N. Papamarkos, “Multithresholding of mixed type documents”, Engineering Applications of Artificial Intelligence, Vol 13, No 3, pp. 323-343, 2000.

[6]                    C.Strouthopoulos, N. Papamarkos and A. Atsalakis, “Text extraction in complex color documents”, Pattern Recognition, Vol 35, Issue 8, pp. 1743-1758, 2002.

[7]                    Atsalakis, N. Papamarkos and C. Strouthopoulos, “Adaptive Color Reduction”, IEEE Trans. on Systems. Man, and Cybernetics - Part B, Vol.32, No.1, pp. 44-56, Feb. 2002.

Γ. Εργασίες δημοσιευμένες σε πρακτικά διεθνών συνεδρίων με κριτές.

[8]                    C. Strouthopoulos, N. Papamarkos and C. Chamzas, “Identification of Text-Only Areas in Mixed Type Documents”, IEEE Workshop on Nonlinear Signal and Image Processing, NSIP95, Vol. 1, pp. 162-165, Halkidiki, Hellas, 1995.

 

[9]                    C. Strouthopoulos and N. Papamarkos, “Document Block Identification Using A Neural Network”, 13th Int’l Conf. on Digital Signal Processing, DSP97, Vol. 2, pp. 999-1002, Santorini, Hellas, 1997.

 

[10]                C. Strouthopoulos, N. Papamarkos and C. Chamzas, “A Page Layout Analysis System”, Int. Conf on Telecomunications, ICT98, Vol. IV, pp. 172-176, Halkidiki, Hellas, 1998.

 

[11]                N. Papamarkos and C. Strouthopoulos, “Multithresholding of Gray-level Images via a SOFM”, 7th International Conference on Advances in Communications and Control, COMCON7, pp. 633-641, 28 June – 2 July 1999, Athens, Greece.

 

[12]                N. Papamarkos and C. Strouthoppoulos, “Multithresholding of mixed type documents”, IEEE International Symposium of Circuits and Systems, ISCAS 2000, Vol. 5, pp. 301-304,  May 28-31 2000, Geneva, Switzerland. 

 

[13]                A. Atsalakis, N. Papamarkos* and C. Strouthopoulos, “A new adaptive color quantization technique”, International Conference on Artificial Neural Networks, ICANN 2001, Vienna Austria, pp. 1006-1012, 2001.

 

[14]                C. Strouthopoulos, N. Papamarkos and A. Atsalakis, “Locating text in color documents”, IEEE Signal Processing Society, International Conference on Image Processing, ICIP2001, Thessaloniki, Greece, October 2001.

 

[15]                C. Strouthopoulos, N. Papamarkos, A. Atsalakis, C. Chamzas “Text Identification in Color Documents” , IEEE Signal Processing Society, International Conference on Image Processing, ISPA 2003, Rome, Italy, September 2003.

 

[16]                N. Nikolaou, E. Badekas, N. Papamarkos and C. Strouthopoulos, "Text localization in color documents", International Conference on Computer Vision Theory and Applications, Setúbal, Portugal, 2006.

 

[17]                Charalambos Strouthopoulos Athanasios Nikolaidis, “A robust technique for text extraction in mixed-type binary documents”, 19th International Conference on Pattern Recognition, IARP 2008, Tampa, Florida USA.

ΑΝΑΦΟΡΕΣ ΣΤΙΣ ΔΗΜΟΣΙΕΥΣΕΙΣ ΑΠΟ ΜΗ ΣΥΝ-ΣΥΓΓΡΑΦΕΙΣ

Στην εργασία [1].

 

1.    Zheng Zhang and Chew Lira Tan, "Recovery of Distorted Document Images from Bound Volumes", ICDAR 2001, Sixth International Conference on Document Analysis and Recognition Seattle, Washington, U.S.A., September 10-13, 2001.

       «Our system groups the words into text lines by using a modified “box-hands” method [1]».

2.    Zheng Zhang and Chew Lira Tan, " Restoration of images scanned from thick bound documents", IEEE Signal Processing Society, International Conference on Image Processing, ICIP2001, Thessaloniki, Greece.

3.    Β. Gatos, S. L. Mantzaris, S. J. Perantonis and A. Tsigris, "Automatic page analysis for the creation of a  digital Library from newspaper   archives",     International Journal on Digital Libraries (IJODL), vol. 3(1), pp. 77-84, 2000.

«Many algorithms for page segmentation have been proposed based on three fundamental approaches: on the smearing and labeling of regions [.], on the image profiling in various directions [.] and on texture information [1,2,8 άλλη 1].».

4.    Paul Clark, Internal Report, Computer Science Department, Bristol University, 1999. http://www.cs.bris.ac.uk/~pclark/results/report1.htm.

«Strouthopoulos and Papamarkos use a neural network which looks for the existence of 3x3 bitmap features in the image, and identifies text regions according to the abundance of these bitmaps (alone and with relation to each other). Although I believe this could be extended to locate text at any orientation, the method only works on black and white images, so would require that we know the color of the text before we start looking for it.».

5.    S. L. Mantzaris, B. Gatos, N. Gouraros and P. Tzavelis, “Integrated Search Tools for Newspaper Digital Libraries”, Proc. of the ACM Conference on Research and Development in Information Retrieval (SIGIR 2000), page 389, Athens, Greece, July 2000.

 

6.    Β. Gatos, S. L. Mantzaris, K. V. Chandrinos, A. Tsigris and S. J. Perantonis,     "Integrated algorithms for newspaper page decomposition and article tracking", Proc. of fifth International Conference on Document Analysis and Recognition     (ICDAR'99), ), pp. 559-562, Bangalore, India, September 1999.

«Algorithms for page segmentation referred to in the literature are mainly based on the smearing and labeling regions [.], on the image profiling in various directions [.] and on the texture information [1, 2].».

7. Zheng Zhang and Chew Lim Tan, “Correcting document image warping based on regression of curved text lines”, Proc. of  ICDAR03, pp. 589-594, 2003.

 

Στην εργασία [2].

8. Keechul Junk, "Neural network-based text location in color images", Pattern Recognition Letters 22, Volume 22, Issue 14, December 2001, Pages 1503-1515.

«Accordingly, several approaches to text location in images have been proposed for specific applications includeing page segmentation, address block location, license plate location and indexing for video archives ( [2] και άλλες 6).

9.    R.B. Johnson, "Recognizing Electronic Symbols Using Neural Networks",    Digest of IEE Colloquium on Document Image  Processing and Multimedia,    London, March 25, 1999.

«In [2] a self-organised neural network classifier is combined with a set of     features to implement a method that clusters the content of a mixed type     document into text and non-text areas.».

10.  Β. Gatos, S. L. Mantzaris, K. V. Chandrinos, A. Tsigris and S. J. Perantonis,     "Integrated Algorithms for Newspaper Page Decomposition and Article Tracking",     Proc. of fifth International Conference on Document Analysis and Recognition     (ICDAR'99), ), pp. 559-562, Bangalore, India, September 1999.

«Algorithms for page segmentation referred to in the literature are mainly based on the smearing and labeling regions [.], on the image profiling in various directions [.], and on the texture information [1, 2].».

 

11. Β. Gatos, S. L. Mantzaris, S. J. Perantonis and A. Tsigris, "Automatic page analysis for the creation of a digital Library from newspaper archives", International Journal on Digital Libraries, (IJODL), vol. 3(1), pp. 77-84, 2000.

«Algorithms for page segmentation referred to in the literature are mainly based on the smearing and labeling regions [.], on the image profiling in various directions [.], and on the texture information [1, 2].».

12.  K. Jung, E. Y. Kim and J.H. Han, "Text location using learning-based texture discrimination", Engineering Applications of Artificial Intelligence, σε έκδοση.

       «Text location has been studied for many applications including document analysis, text-based video indexing, multimedia systems, digital libraries, and vehicle license plate recognition ([2] κ.ά. 4).».

13. B. Gatos and S. L. Mantzaris, “A novel recursive algorithm for area location using isothetic polygons”, Proc. of the 15th International Conference on Pattern Recognition (ICPR2000), pp. 496-499, Barcelona, Spain, September 2000.

14. M. Egmont-Petersen, D. de Ridder, H. Handels, “Image processing with neural networks”, Pattern Recognition 35 (10) (2002) pp. 2279-2301.

15. B. Gatos, S. Mantzaris, A Antonacopoulos," First international newspaper segmentation contest",  ICDAR 2001, Sixth International Conference on Document Analysis and Recognition Seattle, Washington, U.S.A., September 10-13, 2001.

16. Veal D.C., “Techniques of document managεment: A review of text retrieval and related technologies”, Journal of Documentation, Vol.57, Issue 2, pp. 192-217, 2001.

17.  Phillip E. Mitchella, Hong Yana, “Newspaper layout analysis incorporating connected component separation”, Image and Vision Computing 22 (4): 307-317 APR 1 2004.

18.  Chi Z, Wang Q and Siu WC, “Hierarchical content classification and script determination for automatic document image processing”, PATTERN RECOGN 36 (11): 2483-2500 NOV 2003.

19. Swapnil Khedekar, Vemulapati Ramanaprasad, Srirangaraj Setlur, Venugopal Govindaraju, “Text - Image Separation in Devanagari Documents”, Seventh International Conference on Document Analysis and Recognition Volume II, pp. 1265, August 03 - 06,  Edinburgh, Scotland, 2003.

20. Keechul Jung, JungHyun Han, “Hybrid approach to efficient text extraction in complex color images”, Pattern Recognition Letters, Volume 25, Issue 6, 19 April 2004, Pages 679-699.

21.  Phillip E. Mitchella, Hong Yana, “Newspaper layout analysis incorporating connected component separation”, Image and Vision Computing 22 (4): 307-317 APR 1 2004.

22.  S. J. Perantonis, B. Gatos and V. Maragos, “A novel Web image processing algorithm for text area identification that helps commercial OCR engines to improve their Web image recognition efficiency”, Proceedings of the Second International Workshop on Web Document Analysis (WDA 2003), Edinburgh, UK, August 3, 2003. 

23. Marco Gori,  Simone Marinai and Giovanni Soda, “Arti_cial Neural Networks for Document Analysis and Recognition”, Technical Report N.1/2003 University of Florence, 2003.

24. Perantonis SJ, Gatos B, Maragos V, et al., “Text area identification in Web images”, LECT NOTES COMPUT SC 3025: 82-92 2004.

 

Στην εργασία [4].

25.  Shah-Hosseini H, Safabakhsh R, "Automatic multilevel Thresholding for image segmentation by the growing time adaptive self-organizing map", IEEE Transactions on Pattern Analysis And Machine Intelligence, Vol. 24 (10): pp. 1388-1393, 2002.

26.  S.C. Cheng and C.K. Yang, “A fast and novel technique for color quantization using reduction of color space dimensionality”, Pattern Recognition Letters 22, pp.  845-856, 2001.

27. Tobias Hanning, “Nonparametric Segmentation of Grayvalue Images by n-level-set-fitting”, Proc of World Multiconference on Systemics, Proc. of Cybernetics and Informatics 2000, Vol “V”, pp. 90-95, Orlando, USA, July 2000.

28. Philippe Foucher, Paul Revollon, Bertrand Vigouroux, “Segmentation d’images en couleurs par reseau de neurones : Application an domaine vegetal”, ORASIS 2001.

29. Mona Sharma, "Performance Evaluation of Image Segmentation and Texture Extraction Methods in Scene Analysis ", University of Exeter, Thesis for the degree of Master of Philosophy in Computer Science, Jan. 2001

30. Ν. Κρούπης, Διαχείρηση Μνήμης Ενσωματωμένων Συστημάτων για Χαμηλή Κατανάλωση σε Αλγότιθμο Ταξινόμησης Χαρακτηριστικών Εικόνας, Μεταπτυχιακή Διατριβή, Τμήμα ΗΜ&ΜΥ του ΔΠΘ, 2002.

31. K. Veropoulos, “Machine Learning Approaches to Medical Decision Making”, PhD, University of Bristol, Department of Engineering Mathematics, 2001.

32. S.Mansor, T.C. Chuang, A.R. Shariff and N.Ahmad, “Multi-Threshold Technique for Segmentation of Satellite Imagery for Feature Extraction”, GISdevelopment.net http://www.gisdevelopment.net/technology/ip/techip008.htm

33.Yaowu Xu, Object Segmentation and Image Labeling By Learning From Examples, Ph.D. Dissertation, Department of Electrical and Computer Engineering, The College School of Engineering and Applied Sciences, University of Rochester, Rochester, New York, 2003.

34. Y. Sirisathitkul , S. Auwatanamongkol and B. Uyyanonvara, Color image quantization using distances between adjacent colors along the color axis with highest color variance, Pattern Recognition Letters, Volume 25, Issue 9, 2 July 2004, Pages 1025-1043 .

35.  C.C.Jay.Kuo, “Fast Gray-Level Image Thresholding Algorithms”, Department of Electrical Engineering, University of Southern California,  Term project of Selected Topics in Digital Image Processing, 2003.

36. Cheng Bing, Wang Ying, Zheng Nanning, Bian Zhengzhong and Zhang Yongping, “A two-step method for preprocessing volume data”, Computer Vision and Image Understanding, Volume 95, Issue 2, August 2004, Pages 150-164.

 

Στην εργασία [5].

37. B. Abidi, M. Mitckes, M. A. Abidi, and J. Liang, "Grayscale Enhancement Techniques for X-ray Images of Carry-on Luggage," Proc. of SPIE 6th International Conference on Quality Control by Artificial Vision, Vol. 5132, pp. 579-591, Gatlinburg, TN, May 2003.

38. Jimin Liang, Besma R. Abidi and Mongi A. Abidi, “Automatic X-ray Image Segmentation for Threat Detection”, Fifth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'03),  pp. 396-399, September 2003.

39. Sezgin M., Sankur B. “ Survey over image thresholding techniques and quantitative performance evaluation”, J ELECTRON IMAGING 13 (1): 146-168 JAN 2004.

 

Στην εργασία [6].

40. Yunnan Wua and Daniel Lopresti, “Resource-Optimized Delivery of Web Images to Small-Screen Devices”, Document Recognition and Retrieval X conference at IS&T/SPIE's , Electronic Imaging, Jan. 2003.

41. Keechul Junga, Kwang In Kimb and Anil K. Jain, “Text information extraction in images and video: a survey”, Pattern Recognition, Volume 37, Issue 5, May 2004, Pages 977-997.

 

Στην εργασία [7].

42. Du, Y.; Chang, C. and Thouin, P., "An Unsupervised Approach to Color Video Thresholding", OPT ENG 43 (2): 282-289 FEB 2004.

43. E.J.A. Krooman, C. Scheffers, S.H. Snippe and B.M.C. Venderbosch, “Color reduction for full-screen movie playback on the GameBoy Advance”, Universiteit Twente, 2003.

44. Li XL, Yuan TQ, Yu NH, et al., “Adaptive color quantization based on perceptive edge protection”, PATTERN RECOGN LETT 24 (16): 3165-3176 DEC 2003.

45. Yunnan Wua and Daniel Lopresti, “Resource-Optimized Delivery of Web Images to Small-Screen Devices”, Document Recognition and Retrieval X conference at IS&T/SPIE's , Electronic Imaging, Jan. 2003.

46. C.C.Jay.Kuo, “Fast Gray-Level Image Thresholding Algorithms”, Department of Electrical Engineering, University of Southern California,  Term project of Selected Topics in Digital Image Processing, 2003.

47. Cheng Hong, Zheng Nanning,Gao Zhenhai and Li Qin, “Road Recognition Algorithm Using Principal Component Neural Networks and KMeans”, Journal of Xi′An Jiao Tong University, Vol. 37. No. 8, pp. 812-815, 2003.

 

Στην εργασία [8].

48.  Β. Gatos, S. L. Mantzaris, S. J. Perantonis and A. Tsigris, "Automatic page analysis for the creation of a digital Library from newspaper archives", International Journal on Digital Libraries, (IJODL), vol. 3(1), pp. 77-84, 2000.

«Many algorithms for page segmentation have been proposed based on three fundamental approaches: on the smearing and labeling of regions [.], on the image profiling in various directions [.] and on texture information [4.α.1, 4.α.2, 4.α.8 και άλλη 1].».

Αναφορές στο scopus

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ΚΡΙΤΗΣ ΔΙΕΘΝΩΝ ΕΠΙΣΤΗΜΟΝΙΚΩΝ ΠΕΡΙΟΔΙΚΩΝ

- Engineering Applications of Artificial Intelligence

ΔΙΑΚΡΙΣΕΙΣ

1. Έπαινος στον Πανελλήνιο διαγωνισμό της Μαθηματικής Εταιρείας του 1980.

ΕΠΙΣΤΗΜΟΝΙΚΕΣ ΕΝΩΣΕΙΣ

1.      Mέλος του Τ.Ε.Ε. (Α.Μ. 47791).

2.      Μελετητής δημοσίων έργων (Α.Μ. 8190).