| Face detection using local SMQT features and split up snow classifier M Nilsson, J Nordberg, I Claesson 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 235 | 2007 |
| The successive mean quantization transform M Nilsson, M Dahl, I Claesson Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 133 | 2005 |
| Speech recognition using hidden markov model M Nilsson, M Ejnarsson | 107 | 2002 |
| Adaptive Fingerprint Image Enhancement with Emphasis on Pre-processing of Data JS Bartunek, M Nilsson, B Sallberg, I Claesson IEEE transactions on image processing, 1-1, 2013 | 99 | 2013 |
| Development of automatic surveillance of animal behaviour and welfare using image analysis and machine learned segmentation technique M Nilsson, AH Herlin, H Ardö, O Guzhva, K Åström, C Bergsten Animal 9 (11), 1859-1865, 2015 | 75 | 2015 |
| Vascular intersection detection in retina fundus images using a new hybrid approach AM Aibinu, MI Iqbal, AA Shafie, MJE Salami, M Nilsson Computers in Biology and Medicine 40 (1), 81-89, 2010 | 67 | 2010 |
| Feasibility study for the implementation of an automatic system for the detection of social interactions in the waiting area of automatic milking stations by using a video … O Guzhva, H Ardö, A Herlin, M Nilsson, K Åström, C Bergsten Computers and Electronics in Agriculture 127, 506-509, 2016 | 55 | 2016 |
| Adaptive fingerprint binarization by frequency domain analysis JS Bartunek, M Nilsson, J Nordberg, I Claesson 2006 Fortieth Asilomar Conference on Signals, Systems and Computers, 598-602, 2006 | 44 | 2006 |
| Fast classification of empty and occupied parking spaces using integral channel features M Ahrnbom, K Astrom, M Nilsson Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 43 | 2016 |
| Gray-scale image enhancement using the SMQT M Nilsson, M Dahl, I Claesson IEEE International Conference on Image Processing 2005 1, I-933, 2005 | 38 | 2005 |
| Now you see me: Convolutional neural network based tracker for dairy cows O Guzhva, H Ardö, M Nilsson, A Herlin, L Tufvesson Frontiers in Robotics and AI 5, 107, 2018 | 33 | 2018 |
| Automatic diagnosis of diabetic retinopathy using fundus images MI Iqbal, AM Aibinu, NS Gubbal, A Khan | 32 | 2006 |
| A public video dataset for road transportation applications N Saunier, H Ardö, JP Jodoin, A Laureshyn, M Nilsson, Å Svensson, ... 93th TRB Annual Meeting, 2014 | 30 | 2014 |
| Visdrone-mot2019: The vision meets drone multiple object tracking challenge results L Wen, P Zhu, D Du, X Bian, H Ling, Q Hu, J Zheng, T Peng, X Wang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 26 | 2019 |
| First order hidden markov model: Theory and implementation issues M Nilsson | 26 | 2005 |
| Detection of vascular intersection in retina fundus image using modified cross point number and neural network technique MI Iqbal, AM Aibinu, M Nilsson, IB Tijani, M Salami Computer and Communication Engineering, 2008. ICCCE 2008. International …, 2008 | 25 | 2008 |
| Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques AM Aibinu, MI Iqbal, M Nilsson, MJE Salami International Conference on Robotics, Vision, Information, and Signal Processing, 2011 | 23 | 2011 |
| A new method of correcting uneven illumination problem in fundus image AM Aibinu, MI Iqbal, M Nilsson, MJE Salami | 23 | 2007 |
| Improved adaptive fingerprint binarization JS Bartunek, M Nilsson, J Nordberg, I Claesson 2008 Congress on Image and Signal Processing 5, 756-760, 2008 | 22 | 2008 |
| Convolutional neural network‐based cow interaction watchdog H Ardö, O Guzhva, M Nilsson, AH Herlin IET Computer Vision 12 (2), 171-177, 2018 | 21 | 2018 |
Hakan ArdoLund UniversityDirección de correo verificada de maths.lth.se
