| Fusion of 3D laser scanner and depth images for obstacle recognition in mobile applications S Budzan, J Kasprzyk Optics and Lasers in Engineering 77, 230-240, 2016 | 58 | 2016 |
| Face and eyes localization algorithm in thermal images for temperature measurement of the inner canthus of the eyes S Budzan, R Wyżgolik Infrared Physics & Technology 60, 225-234, 2013 | 51 | 2013 |
| Remarks on noise removal in infrared images S Budzan, R Wyżgolik Measurement Automation Monitoring 61 (6), 187--190, 2015 | 25 | 2015 |
| Vibration control in semi-active suspension of the experimental off-road vehicle using information about suspension deflection J Kasprzyk, P Krauze, S Budzan, J Rzepecki Archives of Control Sciences 27 (2), 2017 | 18 | 2017 |
| Noise reduction in thermal images S Budzan, R Wyżgolik International Conference on Computer Vision and Graphics, 116-123, 2014 | 17 | 2014 |
| Measurement-based modelling of material moisture and particle classification for control of copper ore dry grinding process O Krauze, D Buchczik, S Budzan Sensors 21 (2), 667, 2021 | 11 | 2021 |
| Fusion of visual and range images for object extraction S Budzan International Conference on Computer Vision and Graphics, 108-115, 2014 | 11 | 2014 |
| Chladni figures in modal analysis of a double-panel structure J Rzepecki, A Chraponska, S Budzan, CW Isaac, K Mazur, M Pawelczyk Sensors 20 (15), 4084, 2020 | 10 | 2020 |
| Improved human detection with a fusion of laser scanner and vision/infrared information for mobile applications S Budzan, R Wyżgolik, W Ilewicz Applied Sciences 8 (10), 1967, 2018 | 10 | 2018 |
| Grain size determination and classification using adaptive image segmentation with shape-context information for indirect mill faults detection S Budzan, M Pawełczyk Advances in Technical Diagnostics: Proceedings of the 6th International …, 2018 | 8 | 2018 |
| Human detection in thermal images using low-level features S Budzan Measurement automation monitoring 61, 2015 | 8 | 2015 |
| Combining segmentation and edge detection for efficient ore grain detection in an electromagnetic mill classification system S Budzan, D Buchczik, M Pawełczyk, J Tůma Sensors 19 (8), 1805, 2019 | 7 | 2019 |
| Automated grain extraction and classification by combining improved region growing segmentation and shape descriptors in electromagnetic mill classification system S Budzan Tenth International Conference on Machine Vision (ICMV 2017) 10696, 55-62, 2018 | 7 | 2018 |
| GPS and ultrasonic distance sensors for autonomous mobile platform W Czernek, W Margas, R Wyżgolik, S Budzan, A Ziębiński, R Cupek Studia Informatica 37 (4A), 51--67, 2016 | 6 | 2016 |
| Grain size determination and classification using adaptive image segmentation with grain shape information for milling quality evaluation S Budzan, M Pawełczyk Diagnostyka 19 (1), 41-48, 2018 | 4 | 2018 |
| Using gesture recognition for AGV control: preliminary research S Budzan, R Wyżgolik, M Kciuk, K Kulik, R Masłowski, W Ptasiński, ... Sensors 23 (6), 3109, 2023 | 3 | 2023 |
| Moisture determination for fine-sized copper ore by computer vision and thermovision methods D Buchczik, S Budzan, O Krauze, R Wyzgolik Sensors 23 (3), 1220, 2023 | 3 | 2023 |
| RT/FPGA implementation of the IEEE 1451 standard in sensors for machine conditioning systems R Wyżgolik, D Buchczik, S Budzan, M Pawełczyk 2016 21st International Conference on Methods and Models in Automation and …, 2016 | 3 | 2016 |
| System detekcji twarzy i oczu w obrazach 2D z wykorzystaniem transformaty Hougha S Budzan Przegląd Elektrotechniczny (Electrical Review), r 85, 29-32, 2009 | 3 | 2009 |
| Rotating machinery diagnostics based on fusion of infrared and vibration measurements S Budzan, D Buchczik, M Pawełczyk, R Wyżgolik Advances in Condition Monitoring of Machinery in Non-Stationary Operations …, 2018 | 2 | 2018 |
Marek PawelczykHead of Department of Measurements and Control Systems, Silesian University of TechnologyVerified email at polsl.pl
