 | Michalak H., Okarma K.: Adaptive binarization of metal nameplate images using the pixel voting approach. "Computer Vision and Graphics. ICCVG 2022", Series: Lecture Notes in Networks and Systems, vol. 598, pp. 137-149, Springer, 2023 |
| Ieremeiev O., Lukin V., Okarma K., Egiazarian K., Vozel B.: On properties of visual quality metrics in remote sensing applications. Proceedings of IS&T International Symposium on Electronic Imaging - Image Processing: Algorithms and Systems XX, vol. 34 no. 10, Article ID: IPAS-354, pp. 354-1 - 354-6, Society for Imaging Science and Technology, 2022 |
| Li F., Lukin V., Okarma K., Fu Y., Duan J.: Intelligent lossy compression method of providing a desired visual quality for images of different complexity. "Applied Mathematics, Modeling and Computer Simulation", Series: Advances in Transdisciplinary Engineering, vol. 20, pp. 500-505, IOS Press, 2022 |
| Michalak H., Krupiński R., Lech P., Okarma K.: Preprocessing of document images based on the GGD and GMM for binarization of degraded ancient papyri images. "Progress in Image Processing, Pattern Recognition and Communication Systems. CORES 2021, IP&C 2021, ACS 2021", Series: Lecture Notes in Networks and Systems, vol. 255, pp. 116-124, Springer, 2022 |
| Okarma K., Kopytek K.: Application of image entropy analysis for the quality assessment of stitched images. "Progress in Image Processing, Pattern Recognition and Communication Systems. CORES 2021, IP&C 2021, ACS 2021", Series: Lecture Notes in Networks and Systems, vol. 255, pp. 125-132, Springer, 2022 |
| Li F., Lukin V., Okarma K., Fu Y.: Providing a desired quality of BPG compressed images for FSIM metric. Proceedings of the 2021 IEEE 3rd International Conference on Advanced Trends in Information Theory (ATIT), Kijów, Ukraina, pp. 10-14, 2021 |
| Ieremeiev O., Abramova V., Okarma K., Egiazarian K.: Improved robust linearized full-reference combined metric for remote sensing imaging. Proceedings of the 2020 IEEE Ukrainian Microwave Week (UkrMW), Charków, Ukraina, pp. 443-448, 2020 |
| Michalak H., Okarma K.: Application of multi-layered thresholding based on stack of regions for unevenly illuminated industrial images. "Advanced, Contemporary Control" (KKA'2020), Series: Advances in Intelligent Systems and Computing, vol. 1196, pp. 773-784 , Springer, 2020 |
| Okarma K., Fastowicz J.: Computer vision methods for non-destructive quality assessment in additive manufacturing. "Progress in Computer Recognition Systems" (CORES'2019), Series: Advances in Intelligent Systems and Computing, vol. 977, pp. 11-20, Springer, 2020 (PLENARY PAPER) |
| Maliński K., Okarma K.: A simplified classification of electronic integrated circuits packages based on shape descriptors. „Image Processing and Communications” (IP&C'2019), Series: Advances in Intelligent Systems and Computing, vol. 1062, pp. 125-133, Springer, 2020 |
| Michalak H., Okarma K.: Region based approach for binarization of degraded document images. „Advances in Soft and Hard Computing” (ACS'2018), Series: Advances in Intelligent Systems and Computing, vol. 889, pp. 433-444, Springer, 2019 |
| Michalak H., Okarma K.: Fast adaptive binarization with background estimation for non-uniformly lightened document images. „Image Processing and Communications Challenges 10” (IP&C'2018), Series: Advances in Intelligent Systems and Computing, vol. 892, pp. 114-122, Springer, 2019 |
| Fastowicz J., Okarma K.: Automatic colour independent quality evaluation of 3D printed flat surfaces based on CLAHE and Hough transform. „Image Processing and Communications Challenges 10” (IP&C'2018), Series: Advances in Intelligent Systems and Computing, vol. 892, pp. 123-131, Springer, 2019 |
| Michalak H., Okarma K.: Fast adaptive image binarization using the region based approach. „Artificial Intelligence and Algorithms in Intelligent Systems” (CSOC'2018, vol.2), Series: Advances in Intelligent Systems and Computing, vol. 764, pp. 79-90, Springer, 2019 |
| Seul A., Okarma K.: Classification of textures for autonomous cleaning robots based on the GLCM and statistical local texture features. „Artificial Intelligence and Algorithms in Intelligent Systems” (CSOC'2018, vol.2), Series: Advances in Intelligent Systems and Computing, vol. 764, pp. 405-414, Springer, 2019 |
| Lech, P., Fastowicz J., Okarma K.: Quality evaluation of 3D printed surfaces based on HOG features. Lecture Notes in Computer Science, vol. 11114 (ICCVG'2018), pp. 199-208, Springer, 2018 |
| Fastowicz J., Okarma K.: Fast quality assessment of 3D printed surfaces based on structural similarity of image regions. Proceedings of the International Interdisciplinary PhD Workshop IIPhDW’2018, Świnoujście, pp. 401-406 |
| Michalak H.., Okarma K.: Region based adaptive binarization for optical character recognition purposes. Proceedings of the International Interdisciplinary PhD Workshop IIPhDW’2018, Świnoujście, pp. 361-366 |
| Sypniewski G., Okarma K.: Probabilistic approach to seam tracking of butt welding. Proceedings of the International Interdisciplinary PhD Workshop IIPhDW’2018, Świnoujście, pp. 282-287 |
| Lech P., Okarma K.: Binary line oriented histogram. „Image Processing and Communications Challenges 9” (IP&C'2017), Series: Advances in Intelligent Systems and Computing, vol. 681, pp. 3-10, Springer, 2018 |
| Fastowicz J., Bąk D., Mazurek P., Okarma K.: Estimation of geometrical deformations of 3D prints using local cross-correlation and Monte Carlo sampling. „Image Processing and Communications Challenges 9” (IP&C'2017), Series: Advances in Intelligent Systems and Computing, vol. 681, pp. 67-74, Springer, 2018 |
| Fastowicz J., Bąk D., Mazurek P., Okarma K.: Quality assessment of 3D printed surfaces in Fourier domain. „Image Processing and Communications Challenges 9” (IP&C'2017), Series: Advances in Intelligent Systems and Computing, vol. 681, pp. 75-81, Springer, 2018 |
| Okarma K., Fastowicz J.: Color independent quality assessment of 3D printed surfaces based on image entropy. "Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017", Series: Advances in Intelligent Systems and Computing, vol. 578, pp. 308-315, Springer, 2018 (BEST PAPER AWARD) |
| Fastowicz J., Okarma K.: Application of the Hough transform for automatic quality evaluation of 3D printed surfaces. Proceedings of the International Interdisciplinary PhD Workshop IIPhDW’2017, Łódź, pp. 150-156 |
| Seul A., Okarma K.: Texture classification for autonomous cleaning robots. Proceedings of the International Interdisciplinary PhD Workshop IIPhDW’2017, Łódź, pp. 97-104 |
| Sypniewski G., Okarma K.: Highly effective number recognition system dedicated for industrial usage. Proceedings of the International Interdisciplinary PhD Workshop IIPhDW’2017, Łódź, pp. 126-133 |
| Fastowicz J., Okarma K.: Entropy based surface quality assessment of 3D prints. „Artificial Intelligence Perspectives in Intelligent Systems” (CSOC'2017, vol.1), Series: Advances in Intelligent Systems and Computing, vol. 573, pp. 404-413, Springer, 2017 |
| Okarma K., Fastowicz J.: Quality assessment of 3D prints based on feature similarity metrics. „Image Processing and Communications Challenges 8” (IP&C'2016), Series: Advances in Intelligent Systems and Computing, vol. 525, pp. 104-111, Springer, 2017 |
| Fastowicz J., Okarma K.: Texture based quality assessment of 3D prints for different lighting conditions, Lecture Notes in Computer Science, vol. 9972 (ICCVG'2016), pp. 17-28, Springer, 2016 |
| Okarma K., Fastowicz J., Tecław M.: Application of Structural Similarity based metrics for quality assessment of 3D prints, Lecture Notes in Computer Science, vol. 9972 (ICCVG'2016), pp. 244-252, Springer, 2016 |
| Okarma K., Fastowicz J.: No-reference quality assessment of 3D prints based on the GLCM analysis. Proceedings of the 21st IEEE International Conference on Methods and Models in Automation and Robotics MMAR’2016, Międzyzdroje, pp. 788-793 |
| Okarma K.: Binary image quality assessment - a hybrid approach based on binarization evaluation methods. „Artificial Intelligence Perspectives in Intelligent Systems” (CSOC'2016, vol.1), Series: Advances in Intelligent Systems and Computing, vol. 464, pp. 263-271, Springer, 2016 |
| Czapiewski P., Forczmański P., Okarma K., Frejlichowski D., Hofman R.: Clothing similarity estimation using dominant color descriptor and SSIM index. „Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015”, Series: Advances in Intelligent Systems and Computing, vol. 403, pp. 491-500, Springer, 2016 |
| Lech P., Okarma K.: Methods of natural image preprocessing supporting the automatic text recognition using the OCR algorithms. „Image Processing and Communications Challenges 7” (IP&C'2015), Series: Advances in Intelligent Systems and Computing, vol. 389, pp. 143-150, Springer, 2016 |
| Lech P., Okarma K., Fastowicz J.: Fast machine vision line detection for mobile robot navigation in dark environments. „Image Processing and Communications Challenges 7” (IP&C'2015), Series: Advances in Intelligent Systems and Computing, vol. 389, pp. 151-158, Springer, 2016 |
| Tecław M., Lech P., Okarma K.: Simulation of the visual self-localization of mobile robots based on image similarity metrics. Proceedings of the 20th IEEE International Conference on Methods and Models in Automation and Robotics MMAR’2015, Międzyzdroje, pp. 915-920 |
| Lech P., Okarma K., Derda K., Fastowicz J.: Simulation of the video feedback for mobile robots in Simbad environment. „Intelligent Systems in Cybernetics and Automation Theory” (CSOC'2015, vol.2), Series: Advances in Intelligent Systems and Computing, vol. 348, pp. 217-226, Springer, 2015 |
| Tecław M., Lech P., Okarma K.: A virtual simulation of the image based self-navigation of mobile robots. „Intelligent Systems in Cybernetics and Automation Theory” (CSOC'2015, vol.2), Series: Advances in Intelligent Systems and Computing, vol. 348, pp. 173-181, Springer, 2015 |
| Okarma K.: On the usefulness of combined metrics for 3D image quality assessment. „Image Processing and Communications Challenges 6” (IP&C'2014), Series: Advances in Intelligent Systems and Computing, vol. 313, pp. 137-144, Springer, 2015 |
| Okarma K., Tecław M., Lech P.: Application of super-resolution algorithms for the navigation of autonomous mobile robots. „Image Processing and Communications Challenges 6” (IP&C'2014), Series: Advances in Intelligent Systems and Computing, vol. 313, pp. 145-152, Springer, 2015 |
| Okarma K.: Mobile video quality assessment: a current challenge for combined metrics. „Modern Trends and Techniques in Computer Science” (CSOC'2014), Series: Advances in Intelligent Systems and Computing, vol. 285, pp. 485-494, Springer, 2014 |
| Okarma K.: A validation of combined metrics for color image quality assessment, Lecture Notes in Computer Science, vol. 8671 (ICCVG'2014), pp. 1-8, Springer, 2014 |
| Lech P., Okarma K.: Fast histogram based image binarization using the Monte Carlo threshold estimation, Lecture Notes in Computer Science, vol. 8671 (ICCVG'2014), pp. 382-390, Springer, 2014 |
| Okarma K., Frejlichowski D., Czapiewski P., Forczmański P., Hofman R.: Similarity estimation of textile materials based on image quality assessment methods, Lecture Notes in Computer Science, vol. 8671 (ICCVG'2014), pp. 478-485, Springer, 2014 |
| Forczmański P., Czapiewski P., Frejlichowski D., Okarma K., Hofman R.: Comparing clothing styles by means of computer vision methods, Lecture Notes in Computer Science, vol. 8671 (ICCVG'2014), pp. 203-211, Springer, 2014 |
| Okarma K.: Adaptation of the Combined Image Similarity Index for video sequences. „Image Processing and Communications Challenges 5” (IP&C'2013), Series: Advances in Intelligent Systems and Computing, vol. 233, pp. 81-89, Springer, 2014 |
| Lech P., Okarma K., Tecław M.: A fast histogram estimation based on the Monte Carlo method for image binarization. „Image Processing and Communications Challenges 5” (IP&C'2013), Series: Advances in Intelligent Systems and Computing, vol. 233, pp. 73-80, Springer, 2014 |
| Okarma K.: Weighted Feature Similarity – a nonlinear combination of gradient and phase congruency for full-reference image quality assessment, „Image Processing and Communications Challenges 4” (IP&C'2012), Series: Advances in Intelligent Systems and Computing, vol. 184, pp. 187-194, Springer, 2013 |
| Domek S., Dworak P., Grudziński M., Okarma K.: Calibration of cameras and fringe pattern projectors in the vision system for positioning of workpieces on the CNC machines. Solid State Phenomena, vol. 199 (Mechatronic Systems and Materials V), pp. 229-234, 2013 |
| Grudziński M., Okarma K., Pajor M., Tecław M.: Visualization of the workpieces on the CNC machines using the virtual camera based on the sub-pixel IBR method. Solid State Phenomena, vol. 199 (Mechatronic Systems and Materials V), pp. 253-260, 2013 |
| Okarma K.: Hybrid Feature Similarity approach to full-reference image quality assessment, Lecture Notes in Computer Science, vol. 7594 (ICCVG'2012), pp. 212-219, Springer, 2012 |
| Mazurek P., Okarma K.: Background suppression for video vehicle tracking systems with moving cameras using camera motion estimation, „Telematics in the Transport Environment (TST'2012), Series: Communications in Computer and Information Science, vol. 329, pp. 372-379, Springer, 2012 |
| Okarma K., Grudziński M.: The 3D scanning system for the machine vision based positioning of workpieces on the CNC machine tools. Proceedings of the 17th IEEE International Conference on Methods and Models in Automation and Robotics MMAR’2012, Międzyzdroje, pp. 85-90 |
| Okarma K.: Colour image quality assessment using the combined full-reference metric, „Computer Recognition Systems 4” (CoReS'2011), Series: Advances in Intelligent and Soft Computing, vol. 95, pp. 287-296, Springer Verlag, 2011 |
| Okarma K., Mazurek P.: GPGPU based estimation of the Combined Video Quality Metric, „Image Processing and Communications Challenges 3” (IP&C'2011), Series: Advances in Intelligent and Soft Computing, vol. 102, pp. 285-292, Springer, 2011 |
| Okarma K., Mazurek P.: Vehicle tracking using the High Dynamic Range technology, „Modern Transport Telematics” (TST'2011), Series: Communications in Computer and Information Science, vol. 239, pp. 172-179, Springer, 2011 |
| Mazurek P., Okarma K.: Vehicle tracking using a multi-scale bayesian algorithm for a perspective image of a road. „Modern Transport Telematics” (TST'2011), Series: Communications in Computer and Information Science, vol. 239, pp. 346-353, Springer, 2011 |
| Okarma K., Miętus A., Tecław M.: Vector Median Splatting for Image Based Rendering. Lecture Notes in Computer Science, vol. 6375 (ICCVG'2010), pp. 150-157, Springer, 2010 |
| Okarma K.: Video quality assessment using the combined full-reference approach. „Image Processing and Communications Challenges 2” (IP&C'2010), Series: Advances in Intelligent and Soft Computing, vol. 84, pp. 51-58, Springer, 2010 |
| Okarma K., Mazurek P.: Application of shape analysis techniques for the classification of vehicles. „Transport Systems Telematics” (TST'2010), Series: Communications in Computer and Information Science, vol. 104, pp. 218–225, Springer, 2010 |
| Mazurek P., Okarma K.: Application of bayesian a priori distributions for vehicles’ video tracking systems. „Transport Systems Telematics” (TST'2010), Series: Communications in Computer and Information Science, vol. 104, pp. 347-355, Springer, 2010 |
| Okarma K.: Colour image quality assessment using Structural Similarity index and Singular Value Decomposition. Lecture Notes in Computer Science, vol. 5337 (ICCVG'2008), pp. 55-65, Springer, 2009 |
| Okarma K., Lech P.: A statistical reduced-reference approach to digital image quality assessment. Lecture Notes in Computer Science, vol. 5337 (ICCVG'2008), pp. 43-54, Springer, 2009 |
