ISI Journals

  1. Madrigal, C.A.; Branch, J.W.; Restrepo, A.; Mery, D. (2017): Method for Automatic Surface Inspection using Models-Based 3D Descriptor, Sensors (accepted in Sep. 2017).

  2. Moenne-Loccoz, C.; Vergara, R.; Lopez, V.; Mery, D.; and Cosmelli, D. Modeling Search Behaviors during the Acquisition of Expertise in a Sequential Decision-Making Task. Frontiers in Computational Neuroscience, 2017 (accepted in Aug. 2017)

  3. Riffo, V.; Flores, S.; and Mery, D. (2017): Threat Objects Detection in X-Ray Images Using an Active Vision Approach. Journal of Nondestructive Evaluation, 36(3):44.

  4. Hincapie, A.; Kujala, J.; Mattout, J.; Pascarella, A.; Daligault, S.; Delpuech, C.; Mery, D.; Cosmelli, D.; and Jerbi, K. (2017): The impact of MEG source reconstruction method on source-space connectivity estimation: A comparison between minimum-norm solution and beamforming. Neuroimage, (August): 29-42.

  5. Larrain, T.; Bernhard, J.; Mery, D.; Bowyer, K. (2017): Face Recognition Using Sparse Fingerprint Classification Algorithm. IEEE Transactions on Information, Forensics and Information, 12(7): 1646-1657.

  6. Mery, D.; Svec, E.; Arias, M.; Riffo, V.; Saavedra, J.; and Banerjee, S. (2017): Modern Computer Vision Techniques for X-ray Testing in Baggage Inspection. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 47(4):682-692.

  7. Mery, D.; Riffo, V.; Zuccar, I.; and Pieringer, C. (2017): Object recognition in X-ray testing using an efficient search algorithm in multiple views. Insight. 59(2): 85-92.

  8. Mera, C.; Orozco-Alzate, M.; Branch, J.; and Mery, D. (2016): Automatic Visual Inspection: An Approach with Multi-Instance Learning. Computers in Industry, 83(2016): 46-54.

  9. Mery, D.; Svec, E.; Arias, M. (2016): Object Recognition in X-ray testing Using Adaptive Sparse Representations. Journal of Nondestructive Evaluation, 35(3):1-9. [ PDF ]

  10. Hincapié, A.-S.; Kujala, J.; Mattout, J.; Daligault, S.; Delpuech, C.; Mery, D.; D. Cosmelli (2016): MEG connectivity and power detections with Minimum Norm Estimates require different regularization parameters, Accepted in Journal of Computational Intelligence and Neuroscience, Volume 2016, Article ID 3979547. [ PDF ]

  11. Mery, D.; Riffo, V.; Zscherpel, U.; Mondragón, G.; Lillo, I.; Zuccar, I.; Lobel, H.; Carrasco, M. (2015): GDXray: The database of X-ray images for nondestructive testing. Journal of Nondestructive Evaluation, 34.4:1-12. [ PDF ]

  12. Riffo, V.; Mery, D. (2016): Automated detection of threat objects using Adapted Implicit Shape Model. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(4):472-482. [ PDF ]

  13. Mery, D.; Bowyer, K. (2015): Automatic facial attribute analysis via adaptive sparse representation of random patches. Pattern Recognition Letters, 68(2):260-269. [ PDF ]

  14. Mery, D. (2015): Inspection of Complex Objects Using Multiple X-ray Views. IEEE Transactions on Mechatronics, 20(1):338-347. [ PDF ]

  15. Mery, D.; Riffo, V. (2014): Automated Object Recognition using Multiple X-ray Views. Materials Evaluation, 72(11):1362-1372. [ PDF ]

  16. Mery, D. (2014): Computer Vision Technology for X-ray Testing. Insight, 56(3):147-155.[ PDF ]

  17. Matiacevich, S.M.; Mery, D.; Pedreschi F. (2014): Oil content distribution in tortillas chips during frying and their prediction by image analysis using computer vision. International Journal of Food Properties, 17(2):261-272. [ PDF ]

  18. Mery, D.; Riffo, V.; Mondragón, G.; Zuccar, I (2013): Detection of Regular Objects in Baggages using Multiple X-ray Views. Insight, 55(1):16-21. [ PDF ]

  19. Mery, D.; Pedreschi, F.; Soto, A. (2013): Automated Design of a Computer Vision System for Visual Food Quality Evaluation. International Journal of Food and Bioprocess Technology. 6(8):1093-2108. [ PDF ]

  20. Riffo, V.; Mery, D. (2012): Active X-ray testing of Complex Objects. Insight, 54(1):28-35. [ PDF ] 

  21. Matiacevich, S.M.; Mery, D.; Pedreschi F. (2012): Prediction of Mechanical Properties of Corn and Tortilla Chips using Computer Vision. Food and Bioproceess Technology 5(5):2025-2030. [ PDF ]

  22. Caro, L.; Correa, J.; Espinace, P.; Maturana, D.; Mitnik, R.; Montabone, S.; Pszszólkowski, S.; Araneda, A.; Mery, D.; Torres M; Soto, A. (2012): Indoor Mobile Robotics at Grima, PUC. Journal of Intelligent and Robotic Systems. 66(1-2):151-165 [ PDF ]

  23. Mery, D. (2011): Automated Detection of Welding Discontinuities without Segmentation. Materials Evaluation, June-2011:657-663. [ PDF ]

  24. Mery, D.; Lillo, I.; Loebel, H.; Riffo, V.; Soto, A.; Cipriano, A.; Aguilera, J.M. (2011):  Automated Fish Bone Detection using X-ray Testing. Journal of Food Engineering, 105(2011):485-492. [ PDF ]

  25. Pedreschi, F.; Mery, D.; Bunger, A.; Yañez, V. (2011): Computer Vision Classification of Potato Chips by Color. Journal of Food Processing Engineering, 34:1714-1728.  [ PDF ]

  26. Carrasco, M.; Mery, D. (2011): Automatic Multiple View Inspection using Geometrical Tracking and Feature Analysis in Aluminum Wheels. Machine Vision and Applications, 22:157-170  [ PDF ]

  27. Pieringer, C.; Mery, D. (2010): Flaw Detection in Aluminum Die Castings Using Simultaneous Combination of Multiple Views. Insight, 52(10):548-552. [ PDF ]

  28. Mery, D.; Chanona-Perez, J.; Soto, A.; Aguilera, J.M.; Cipriano, A.; Velez-Riverab, N; Arzate-Vazquez, I, Gutierrez–Lopez, G. (2010): Quality Classiļ¬cation of Corn Tortillas using Computer Vision. Journal of Food Engineering 101(4):357-364. [ PDF ]

  29. Carrasco, M.; Pizarro, L.; Mery, D. (2010): Visual Inspection of Glass Bottlenecks by Multiple-View Analysis. International Journal of Computer Integrated Manufacturing, 23(10):925-941. [ PDF ]

  30. Robledo, L.F.; Carrasco, M.; Mery, D. (2009): A Survey of Land Mine Detection Technology. International Journal of Remote Sensing, 30(9):2399-2410. [ PDF ]

  31. Pádua, G.X.; Silva, R.; Mery, D.; Siqueira, M.H.S.; Rebello, J.M.A; Caloba, L.P. (2008): Detection and classification of weld defects in radiographic images: Part III – phenomenological analysis. Materials Evaluation, 66(2):145-159. [ PDF ]

  32. Pizarro, L.; del Piano, R.; Carrasco, M.; Mery, D. (2008): Robust Automated Multiple View Inspection. Pattern Analysis & Applications Journal, 11(1):21-32. [ PDF ]

  33. Silva, R.; Mery, D.; Soares, S.D. (2008): Evaluation of Acoustic Emission Signal Parameters for Identifying the Propagation of Defects in Pressurized Tubes. Materials Evaluation, 66(5):493-500. [ PDF ]

  34. Silva, R.; Mery, D. (2007): Accuracy estimation of detection of casting defects in X-ray images using some statistical techniques. Insight, 49(10):603-609.  [ PDF ]

  35. Pádua, G.X.; Silva, R.; Mery, D.; Siqueira, M.H.S.; Rebello, J.M.A; Caloba, L.P. (2007): Detection and classification of weld defects in radiographic images: Part I – supervised learning. Materials Evaluation, 65(11)1139-1145. [ PDF ]

  36. Pádua, G.X.; Silva, R.; Mery, D.; Siqueira, M.H.S.; Rebello, J.M.A; Caloba, L.P. (2007): Detection and classification of weld defects in radiographic images: Part II – unsupervised learning. Materials Evaluation, 65(12):1230-1237. [ PDF ]

  37. Silva, R.; Mery, D. (2007): State-of-the-Art of Weld Seam Inspection by Radiographic Testing: Part II – Pattern Recognition. Materials Evaluation, 65(9):833-838. [ PDF ]

  38. Silva, R.; Mery, D. (2007): State-of-the-Art of Weld Seam Inspection by Radiographic Testing: Part I – Image Processing. Materials Evaluation, 65(6):643-647. [ PDF ]

  39. Pedreschi, F.; Bustos, O.; Mery, D.; Moyano, P.; Kaack, K.; Granby, K. (2007): Color Kinetics Acrylamide Formation NaCl Soaked Potato Chips. Journal of Food Engineering, 79(3):987-997. [ PDF ]

  40. Pedreschi, F.; León, J.; Mery, D.; Moyano, P.; Pedreschi, R.; Kaack, K.; Granby, K. (2006): Color Development and Acrylamide Content of Pre-Dried Potato Chips. Journal of Food Engineering, 79(3):786-793. [ PDF ]

  41. Mery, D. (2006): High contrast pixels: a new feature for defect detection in X-ray testing. Insight 46(12):751-753. [ PDF ]

  42. Pedreschi, F.; León, J.; Mery, D.; Moyano, P. (2006): Development of a Computer Vision System to measure the Color of Potato Chips. Food Research International, 39(10):1092-1098. [ PDF ]

  43. León, K.; Mery, D.; Pedreschi, F., León, J. (2006): Color Measurements in L*a*b* units from RGB Digital Images..  Food Research International 39(10):1084-1091. [ PDF ]

  44. Mery, D.; Carrasco, M. (2006): Advances on Automated Multiple View Inspection. Lecture Notes in Computer Science, LNCS 4319:513-522. [ PDF ]

  45. Langdon, D.; Soto, A.; Mery, D. (2006): Automatic Selection and Detection of Visual Landmarks Using Multiple Segmentations. Lecture Notes in Computer Science, LNCS 4319:601-610. [ PDF ]

  46. Carrasco, M.; Mery, D. (2006): Automated visual inspection using trifocal analysis in an uncalibrated sequence of images. Materials Evaluation, 64(9):900-906. [ PDF ]

  47. Mery, D. (2006): Automated Radioscopic Testing of Aluminium die Castings.  Materials Evaluation, 64(2):135-143. [ PDF ]

  48. Mery, D.; Hahn, D.; Hitschfeld N. (2005): Simulation of Defects in Aluminium Castings Using CAD Models of Flaws and Real X-ray Images. Insight, 47(10):618-624. [ PDF ] (Ron Halmshaw Award 2005).

  49. Ghoreyshi, A.; Vidal, R.; Mery, D. (2005): Segmentation of circular casting defects using a robust algorithm. Insight, 47(10):615-617. [ PDF ]

  50. Mery, D.; Carrasco M. (2005): Automated multiple view inspection based on uncalibrated image sequences, Lecture Notes in Computer Science LNCS 3540: 1238-1247. [ PDF ]

  51. Mery, D.; Pedreschi, F. (2005): Segmentation of Colour Food Images using a Robust Algorithm. Journal of Food Engineering, 66(3):353-360. [ PDF ]

  52. Mery, D.; Chacón, M.; Muñoz, L.; González, L. (2005): Automated inspection of aluminium castings using fusion strategies.  Materials Evaluation,63(2):148-153. [ PDF ]

  53. Carrasco, M.A.; Mery, D. (2004): Segmentation of welding defects using a robust algorithm. Materials Evaluation, 62(11):1142-1147. [ PDF ]

  54. Mery, D.; Medina, O (2004): Automated visual inspection of glass bottles using adapted median filtering. Lecture Notes in Computer Science, LNCS 3212: 818-825. [ PDF ]

  55. Hernández, S.; Sáez, D.; Mery, D. (2004): Neuro-fuzzy method for automated defect detection of aluminium castings. Lecture Notes in Computer Science, LNCS 3212: 826-833. [ PDF ]

  56. Mery, D.; Ochoa, F.; Vidal, R. (2004): Tracking of points in a calibrated and noisy image sequence. Lecture Notes in Computer Science, LNCS 3211: 647-654. [ PDF ]

  57. Carvajal, K.; Chacón, M.; Mery, D.; Acuña, G. (2004): Neural network method for failure detection with skewed class distribution. Insight, 46(7):399-402. [ PDF ]

  58. Pedreschi, F.; Mery, D.; Mendoza, F.; Aguilera, J.M. (2004): Classification of Potato Chips using Pattern Recognition. Journal of Food Science, 69(6):E264-E270. [ PDF ]

  59. Mery, D. (2003): Exploiting Multiple View X-Ray Testing: Part I- Theory. Materials Evaluation, 61(11):1226-1233. [ PDF ]

  60. Mery, D. (2003): Exploiting Multiple View X-Ray Testing: Part II - Applications. Materials Evaluation, 61(12):1311-1314. [ PDF ]

  61. Mery, D.; Berti, .M.A. (2003): Automatic Detection of Welding Defects using Texture Features. Insight, 45(10):676-681. [ PDF ]

  62. Mery, D. (2003): Explicit Geometric Model of a Radioscopic Imaging System. NDT & E International, 36(8):587-599. [ PDF ]

  63. Mery, D.; da Silva, R.R.; Caloba, L.P.; Rebello, J.M.A. (2003): Pattern Recognition in the Automatic Inspection of Aluminium Castings. Insight, 45(7):431-439. [ PDF ]

  64. Mery, D. (2003): Crossing line profile: a new approach to detecting defects in aluminium castings. Lecture Notes in Computer Science, LNCS 2749: 725-732. [ PDF ]

  65. Mery, D.; Filbert, D. (2002): Automated Flaw Detection in Aluminum Castings Based on The Tracking of Potential Defects in a Radioscopic Image Sequence. IEEE Transactions on Robotics and Automation, 18(6):890-901. [ PDF ]

  66. Mery, D. (2002): New Approaches for Defect Recognition with X-ray Testing. Insight, 44(10):614-615. [ PDF ]

  67. Mery, D.; Jaeger, Th.; Filbert, D. (2002): A Review of Methods for Automated Recognition of Casting Defects. Insight, 44(7):428-436. [ PDF ]

  68. Mery, D.; Jaeger, Th.; Filbert, D. (2001): Fully Automated X-Ray Inspection System: Non-destructive Testing of Castings (in German), Materialprüfung,  43(11-12):433-441. [ PDF ]

  69. Mery, D. (2001): Flaw simulation in castings inspection by radioscopy, Insight, 43(10):664-668. [ PDF ]

  70. Mery, D.; Jaeger, Th.; Filbert, D. (2001): Automated Quality Control of Castings – State of the Art (in German), tm - Technisches Messen, 68(7-8):338-349. [ PDF ]

  71. Mery, D.; Filbert, D. (2000): Flaw Tracking in a Sequence of Digital X-Ray Images: a New Method of Automated Quality Control of Castings (in German), tm - Technisches Messen, 67(4):160-165. [ PDF ]

  72. Mery, D.; Filbert, D.: The Epipolar Geometry in the Radioscopy: Theory and Application. at - Automatisierungstechnik, Oldenbourg Verlag. 48(12): 588-596, Diciembre, 2000. [ PDF ]

  73. Cipriano, A.; Guarini, M.; Vidal, R.; Soto, A.; Sepúlveda C.; Mery, D.; Briseño, H. (1998): A Real Time Visual Sensor for Supervision of Flotations Cells. Minerals Engineering, 11(6):489-499. [ PDF ]


Other Journals

  1. Gonzalez-Acuña, R.; Mery, D.; Klette, R. (2016): Adaptive Image Segmentation Based on Histogram Transition Zone Analysis. International Journal of Fuzzy Logic and Intelligent Systems. Accepted in December 2016. [ PDF ]

  2. Mery, D. (2013): X-ray Testing: The State of the Art, e-Journal of Nondestructive Testing, Vol. 18, No. 9, September 2013. [ PDF ]

  3. Matiacevich, S.B.; Inostroza, M.P.; Mery, D.; Pedreschi, F. (2009): Análisis de algunas propiedades físicas de tortillas chips empleando visión computacional.  Alimentos Hoy, Asociación Colombiana de Ciencia y Tecnología de los Alimentos, (1):30 B1.

  4. Pádua, G.X.; Silva, R.; Mery, D.; Siqueira, M.H.S.; Rebello, J.M.A; Caloba, L.P. (2008): Detection and classification of weld defects in radiographic images. e-Journal of Nondestructive Testing, Issue 2008-07. 

  5. Silva, R.; Mery, D. (2007): State-of-the-Art of Weld Seam Inspection by Radiographic Testing: Part II – Pattern Recognition. e-Journal of Nondestructive Testing, Issue 2007-09.

  6. Silva, R.; Mery, D. (2007): State-of-the-Art of Weld Seam Inspection by Radiographic Testing: Part II – Pattern Recognition. e-Journal of Nondestructive Testing, Issue 2007-09.

  7. Silva, R.; Mery, D. (2007): State-of-the-Art of Weld Seam Inspection by Radiographic Testing: Part I – Image Processing. e-Journal of Nondestructive Testing, Issue 2007-09.

  8. Mery, D.: Inspección Visual Automática. Revista Informática, Marzo-Abril, 46-48, 2005.

  9. Mery, D.: Automatic Defect Detection in Aluminium Castings using Radioscopic Image Sequences. Metal Casting Technologies, 49(1):38-40, Australia, 2003.

  10. Mery, D.; Filbert, D.: Classification of Potential Defects in Automated Inspection of Aluminium Castings Using Statistical Pattern Recognition, e-Journal of Nondestructive Testing, Vol. 7, No. 12, Dec. 2002. ISSN 1435-4394.

  11. Mery, D.; Filbert, D.: Automated Inspection of Moving Aluminium Castings, e-Journal of Nondestructive Testing, Vol. 7, No. 12, Dec. 2002. ISSN 1435-4394.

  12. Mery, D.; Geisert C.; Filbert, D.: Geometric Calibration of a X-Ray Testing System, e-Journal of Nondestructive Testing, Vol. 7, No. 3, March 2002. ISSN 1435-4394.

  13. Weiske, I; Mery, D.; Geisert, C; Filbert, D.: Implementation of a Method for Flaw Detection in Aluminium Castings, e-Journal of Nondestructive Testing, Vol. 7, No. 3, March 2002. ISSN 1435-4394.

  14. Mery, D.: Automatische Qualitätskontrolle von Gußteilen aus Röntgenbildsequenzen, e-Journal of Nondestructive Testing, Vol. 5, No. 8, August 2000 (selected publication). ISSN 1435-4934.

  15. Mery, D.: Anwendung der multifokalen Tensoren in der automatischen Inspektion (Aplicación de los tensores multifocales en la inspección automática). Jahresbericht 2000 des Institutes für Meß- und Automatisierungstechnik, Technische Universität Berlin, pp. 24-29, 2000.

  16. Mery, D.: Automatische Qualitätskontrolle von Gußteilen aus Röntgenbildsequenzen (Control de calidad automático en piezas de metal fundido a partir de secuencias de radiografías digitalizadas). Jahresbericht 1999 des Institutes für Meß- und Automatisierungstechnik, Technische Universität Berlin, pp. 33-37, 1999.

  17. Mery, D.; Filbert, D.: Epipolar Geometry in Radioscopic Images, e-Journal of Nondestructive Testing, Vol. 4, No. 7, Juli 1999. ISSN 1435-4934.

  18. Mery, D.: Anwendung der Epipolargeometrie in der automatischen Gußfehlererkennung mit monokularen Aufnahmen (Aplicación de la geometría epipolar en el reconocimineto automático de fallas en piezas de metal fundido con imágenes monoculares). Jahresbericht 1998 des Institutes für Meß- und Automatisierungstechnik, Technische Universität Berlin, pp. 46-49, 1998.

  19. Mery, D.: Schneller Algorithmus zur Restauration bewegungsunscharfer Bilder (Algoritmo rápido para la restauración de imágenes movidas). Jahresbericht 1997 des Institutes für Meß- und Auto­matisierungstechnik, Technische Universität Berlin, pp. 41-43, 1997.

  20. Guarini, M.; Cipriano, A.; Briseño, H.; Mery, D.; Guesalaga, A.: Aceflot: un analizador inteligente de la dinámica de la espuma para plantas de flotación. Revista Minerales, 52(218): 27-34.1997.