English version

Dr. habil. Hajdu András
tanszékvezető, egyetemi docens

• Komputergrafika és Képfeldolgozás Tanszék
• Cím: H-4028 Debrecen, Kassai út 26.
• Postacím: H-4010 Debrecen, Pf. 12.
• Telefon: +36 52 512900/75124, +36 52 512900/62830
• Fax: +36 52 416857
• E-mail:hajdu.andras@inf.unideb.hu
• URL: http://www.inf.unideb.hu/~hajdua

• Magamról

---

Hallgatói információk

---

Szakmai információk

• Curriculum Vitae
• Kutatási témák
• Publikációk

Válogatott publikációk:

• Bálint Antal, András Hajdu: Improving microaneurysm detection using an optimally selected subset of candidate extractors and preprocessing methods, Pattern Recognition 45 (2012), 255-261.
• Rashid Jalal Qureshi, Laszlo Kovacs, Balazs Harangi, Brigitta Nagy, Tunde Peto, Andras Hajdu: Combining algorithms for automatic detection of optic disc and macula in fundus images, Computer Vision and Image Understanding (CVIU), Elsevier, 2011, accepted.
• György Kovács, András Hajdu: Extraction of vascular system in retina images using averaged one-dependence estimators and orientation estimation in Hidden Markov Random Fields, IEEE 8th International Symposium on Biomedical Imaging (ISBI2011), Chicago, USA, 2011, 693-696.
• András Hajdu and Ioannis Pitas: Piecewise linear digital curve representation and compression using graph theory and a line segment alphabet, IEEE Trans. on Image Processing 17/2 (February 2008), 126-133.
• András Hajdu and Tamás Tóth: Approximating non-metrical Minkowski distances in 2D, Pattern Recognition Lett. 29/6 (April 2008), 813-821.
• András Hajdu and Ioannis Pitas: Optimal approach for fast object-template matching, IEEE Trans. on Image Processing 16/8 (August 2007), 2048-2057.
• András Hajdu, Lajos Hajdu and Robert Tijdeman: General neighbourhood sequences in Zⁿ, Discrete Appl. Math. (2007), Discrete Appl. Math. 155 (2007), 2507-2522.
• András Hajdu and Ioannis Pitas: Compression optimized tracing of digital curves using graph theory, International Conference on Image Processing (IEEE ICIP 2007) (2007), San Antonio, Texas, USA, Vol. VI, 453-456.
• András Hajdu, Charalambos Giamas and Ioannis Pitas: Object simplification using skeleton-based weight function, 8^th International Symposium on Signals, Circuits and Systems (IEEE ISSCS 2007) (2007), Iasi, Romania, Vol 2.
• András Hajdu and Lajos Hajdu: Approximating the Euclidean distance using non-periodic neighbourhood sequences, Discrete Math. 283/1-3 (2004), 101-111.
• András Hajdu and Zoltán Zörgő: ANSYS for Virtual Surgery: FEA is a valuable tool that aids doctors in orthopedic operations, ANSYS Solutions Summer 2004 (2004), 10-13.
• András Hajdu: Geometry of neighbourhood sequences, Pattern Recognition Lett. 24/15 (2003), 2597-2606.
• András Hajdu and Lajos Hajdu: Velocity and distance of neighbourhood sequences, Acta Cybernet. 16 (2003), 133-145.

Last update 16.02.2009, András Hajdu