Badania własne

Piotr Zapotoczny, Ewa Ropelewska, Tytuł: Application of hyperspectral imaging for cultivar discrimination of malting barley grains, Czasopismo: Agricultural Engineering, Szczegóły: 2016, 20 (3), s. 207-217 ; 

Piotr Zapotoczny, Krystyna Żuk-Gołaszewska, Ewa Ropelewska, Tytuł: Discrimination based on changes in the physical properties of fenugreek (Trigonella foenum-graecum L.) seeds subjected to various cultivation conditions, Czasopismo: European Food Research and Technology, Szczegóły: 2016, 242 (3), s. 405-414 ; 

Piotr Zapotoczny, Piotr M. Szczypiński, Tomasz Daszkiewicz, Tytuł: Evaluation of the quality of cold meats by computer-assisted image analysis, Czasopismo: LWT - Food Science and Technology, Szczegóły: 2016, 67, s. 37-49 

Piotr M. Szczypiński, Artur Klepaczko, Piotr Zapotoczny,Tytuł: Identifying barley varieties by computer vision, Czasopismo: Computers and Electronics in Agriculture, Szczegóły: 2015, 110, s. 1-8 

Piotr M. Szczypiński, Piotr Zapotoczny, Artur Klepaczko, Tytuł: Computer analysis of food images - case studies, Tytuł całości: Computer image analysis in biosciences : 22 - 24 June 2014, Olsztyn, Poland : Workshops, Adres wydawniczy, liczba stron: Olsztyn : Instytut Rozrodu Zwierząt i Badań Żywności - Polska Akademia Nauk, 2014, s. 25-25, Tytuł i organizator konferencji: Computer image analysis in biosciences ; Instytut Rozrodu Zwierząt i Badań Żywności - Polska Akademia Nauk, Miejsce i data konferencji: Olsztyn, 2014.06.22, 2014.06.24

Piotr Zapotoczny, Tytuł: Discrimination of wheat grain varieties using image analysis and multidimensional analysis texture of grain mass. Czasopismo: International Journal of Food Properties, Szczegóły: 2014, 17 (1), s. 139-151

Piotr Zapotoczny, Wojciech Kozera, Krzysztof Karpiesiuk, Rodian Pawłowski, Tytuł: The use of computer-assisted image analysis in the evaluation of the effect of management systems on changes in the color, chemical composition and texture of m. longissimus dorsi in pigs, Czasopismo: Meat Science,Szczegóły: 2014, 97 (4), s. 518-528 

Piotr Zapotoczny, Tytuł: Application of image texture analysis for varietal classification of barley, Czasopismo: International Agrophysics, Szczegóły: 2012, 26 (1), s. 81-90

Piotr Zapotoczny, Tytuł: Discrimination of wheat grain varieties using image analysis and neural networks. Part I. Single kernel texture, Czasopismo: Journal of Cereal Science, Szczegóły: 2011, 54 (1), s. 60-68 

Piotr Zapotoczny, Tytuł: Discrimination of wheat grain varieties using image analysis: morphological features, Czasopismo: European Food Research and Technology, Szczegóły: 2011, 233 (5), s. 769-779 

Piotr Zapotoczny, Katarzyna Majewska, Tytuł: A comparative analysis of colour measurements of the seed coat and endosperm of wheat kernels performed by various techniques, Czasopismo: International Journal of Food Properties, Szczegóły: 2010, 13 (1), s. 75-89 

Piotr Zapotoczny, Magdalena Zielińska, Zygmunt Nita, Tytuł: Application of image analysis for the varietal classification of barley : Morphological features, Czasopismo: Journal of Cereal Science, Szczegóły: 2008, 48 (1), s. 104-110

Piotr Zapotoczny, Ireneusz Białobrzewski, Tytuł: Pomiar barwy z wykorzystaniem komputerowej analizy obrazu, Czasopismo: Problemy Inżynierii Rolniczej, Szczegóły: 2002 (nr 4), 65-72

Piotr Zapotoczny, Tytuł: Pomiar wielkości geometrycznych ogórków z wykorzystaniem komputerowej analizy obrazu, Czasopismo: Problemy Inżynierii Rolniczej, Szczegóły: 2002 (nr 4), 57-64

Szczypiński, P.M., Strzelecki, M., Materka, A., Klepaczko, A.MaZda-A software package for image texture analysis, (2009) Computer Methods and Programs in Biomedicine, 94 (1), pp. 66-76.

Thybo, A.K., Szczypiński, P.M., Karlsson, A.H., Dønstrup, S., Stødkilde-Jørgensen, H.S., Andersen, H.J. Prediction of sensory texture quality attributes of cooked potatoes by NMR-imaging (MRI) of raw potatoes in combination with different image analysis methods, (2004) Journal of Food Engineering, 61 (1 SPEC.), pp. 91-100.

Szczypiński, P.M., Sriram, R.D., Sriram, P.V.J., Reddy, D.N. A model of deformable rings for interpretation of wireless capsule endoscopic videos. (2009) Medical Image Analysis, 13 (2), pp. 312-324.

Strzelecki, M., Szczypinski, P., Materka, A., Klepaczko, A. A software tool for automatic classification and segmentation of 2D/3D medical images (2013) Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 702, pp. 137-140.

Szczypiński, P., Klepaczko, A., Pazurek, M., Daniel, P. Texture and color based image segmentation and pathology detection in capsule endoscopy videos, (2014) Computer Methods and Programs in Biomedicine, 113 (1), pp. 396-411.

Klepaczko, A., Szczypiński, P., Dwojakowski, G., Strzelecki, M., Materka, A. Computer simulation of magnetic resonance angiography imaging: Model description and validation, (2014) PLoS ONE, 9 (4), art. no. e93689,

Strzelecki, M., Szczypinski, P., Materka, A., Kocinski, M., Sankowski, A. Level-set segmentation of noisy 3D images of numerically simulated blood vessels and vascular trees, (2009) ISPA 2009 - Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis, art. no. 5297641, pp. 742-747.

Klepaczko, A., Materka, A., Szczypinski, P., Strzelecki, M. Numerical Modeling of MR Angiography for Quantitative Validation of Image-Driven Assessment of Carotid Stenosis, (2015) IEEE Transactions on Nuclear Science, 

Strumiłło, A., Niewczas, J., Szczypiński, P., Makowski, P., Woźniak, W. Computer system for analysis of x-ray images of wheat grains (a preliminary announcement), (1999) International Agrophysics, 13 (1), pp. 133-140.

Szczypiński, P., Klepaczko, A., Strzelecki, M. An intelligent automated recognition system of abnormal structures in WCE images
(2011) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6678 LNAI (PART 1), pp. 140-147.

Szczypiński, P., Klepaczko, A. Automated recognition of abnormal structures in WCE images based on texture most discriminative descriptors. (2010) Advances in Intelligent and Soft Computing, 84, pp. 263-270.

Klepaczko, A., Szczypiński, P., Deistung, A., Reichenbach, J.R., Materka, A. Simulation of MR angiography imaging for validation of cerebral arteries segmentation algorithms, (2016) Computer Methods and Programs in Biomedicine, 137, pp. 293-309.

Klepaczko, A., Szczypiński, P. Automated segmentation of endoscopic images based on local shape-adaptive filtering and color descriptors. (2010) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6474 LNCS (PART 1), pp. 245-254.

Klepaczko, A., Szczypiński, P., Daniel, P., Pazurek, M. Local polynomial approximation for unsupervised segmentation of endoscopic images. (2010) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6375 LNCS (PART 2), pp. 33-40.

Jurewicz, P., Rafajłowicz, W., Reiner, J., Rafajłowicz, E. Simulations for tuning a laser power control system of the cladding process, (2016) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9842 LNCS, pp. 218-229.

Hoła, J., Sadowski, L., Reiner, J., Stach, S. Usefulness of 3D surface roughness parameters for nondestructive evaluation of pull-off adhesion of concrete layers, (2015) Construction and Building Materials, 84, pp. 111-120.

Cieszyński, W., Zięba, M., Reiner, J. Real time trajectory correction system of optical head in laser welding, (2015) Acta Mechanica et Automatica, 9 (4), pp. 265-269.

Reiner, J., Cieszyński, W., Sidorowicz, M., Wiercioch, M., Chlebus, E. Examples of laser processing control with machine vision feedback. (2015) Solid State Phenomena, 223, pp. 325-332.

Stankiewicz, M., Reiner, J. Uncertainty estimation for laser triangulation height measurement, (2014) 11th IMEKO TC14 Symposium on Laser Metrology for Precision Measurement and Inspection in Industry, LMPMI 2014, pp. 38-41.

Stankiewicz, M., Reiner, J. Uncertainty estimation for laser triangulation height measurement, (2013) 11th IMEKO TC14 International Symposium on Measurement and Quality Control, ISMQC 2013, pp. 16-19.

Reiner, J., Stankiewicz, M. Evaluation of the predictive segmentation algorithm for the laser triangulation method, (2011) Metrology and Measurement Systems, 18 (4), pp. 667-678.

Stankiewicz, M., Reiner, J., Kotnarowski, G. Positioning of scanned part inside of the laser triangulation system, (2011) Proceedings of SPIE - The International Society for Optical Engineering, 8082, art. no. 808233

Reiner, J., Stankiewicz, M., Wójcik, M. Predictive segmentation method for 3D inspection accuracy and robustness improvement, (2009) Proceedings of SPIE - The International Society for Optical Engineering, 7389, art. no. 73890A,

Reiner, J. Rendering for machine vision prototyping, (2008) Proceedings of SPIE - The International Society for Optical Engineering, 7100, art. no. 710009, .

Reiner, J., Koch, J., Krebs, I., Schnabel, S., Siech, T. Knowledge management issues for maintenance of automated production systems. (2005) IFIP Advances in Information and Communication Technology, 160, pp. 229-237.

Reiner, J., Koch, J. Cooperation problems at the interdisciplinary teams of providers and users in manufacturing automation, (2003) Modern Trends in Manufacturing, Second International CAMT Conference (Centre for Advanced Manufacturing Technologies), pp. 309-318.

Koch, J., Smalec, Z., Reiner, J., Skura, K. Communication systems in manufacturing and their role in automation, (1999) Human Systems Management, 18 (3-4), pp. 253-263.