Machine Vision Laboratory at Ferdowsi University of Mashhad gathers an active group of researchers and students working on computer vision and image processing topics. Our research is focused on practical areas of vision science, computer vision and image understanding. Medical image analysis is an important part of our research in collaboration with EIARG lab at FUM. Feel free to surf our website. You can find our contact information here.

The First National Conference on Simulator Systems - 2018

Ferdowsi University of Mashhad and the Navy industrial organization of Iran are proud to host the first National conference on Simulator Systems on May 7th and 8th, 2018. The purpose of this conference is to present scientific articles, to hold educational and practical workshops, specialized exhibition and to exchange views among academic experts and industry activists in this field. Considering the need for greater communication between universities and industry, it is stipulated that special attention should be paid to this issue at the conference. To this end, one of the focus areas of the conference is dedicated to industrial activities and applications. The papers presented in this section focus more on the use of current knowledge and the introduction of knowledge-based products, rather than anticipating innovation in the paper. It is expected that industry professionals and researchers will make the most effective use of applied research by contributing to the growth of this sector as well as other scientific disciplines.


Using vision based hoeing machine in-row weed control in order to control weed in row crops

Special plant detection camera is used in this robot above each row. Also, a mechanical tool equipped with electric power is used. In each row in normal situations are staying the intelligent weeding tools. When a crop plant is passing so it moved out from a row. It should be noted that the operating speed of electronic components are high and it is very strong with long life. Each parallelogram continuously monitors are equipped by special plant detection camera in order to pass the plants. In the case of passing the crop plant, the electronically controlled tool is received a signal from a computer and it will be moved out of the row at the specified time. After passing the crop plant, the tool will be moved into the row again. In the case of missing one or more plants or happening a gap in the row, the tool will stay in the row. The duty of automatic lateral control is to be sure that machine is located in the proper position even the tractor goes off track.

Scalable and view-independent calibration of multi-projector display for arbitrary uneven surfaces

This demo is the result of the implementation of the master's thesis by Shahaboddin Askarian Bajestani, a member of machine vision lab at Ferdowsi University of Mashhad. It is a multi-projector display system that can perform projection operations on any arbitrary uneven surface. Moreover, the system is scalable due to the consideration of the camera and projector as a pair and the design of the problem as an optimization problem. The system setup is fully automated. Calibration of the system will be done automatically after calibrating the camera and the projector and fixing these two ratios and putting the pairs in overlapping position. The setup of the provided system is completely automated. After calibrating the camera and the projector and fixing them w.r.t. to each other, by putting the pairs in an overlap fashion, the calibration of the system will be done using software. Because of the overlapping area, in the case of the displacement of each projector, we only need to reset calibration operations. We run the system on a spherical surface with 3 pairs and on an arbitrary uneven surface with two pairs, and the result can be displayed in the corresponding video. Demo


« Faculty »

Prof. Hamidreza Pourreza

Dr. Ehsan Fazl-Ersi

Dr. Amir Hossein Taherinia

Dr. Boshra Rajaee

Dr. Mina Masoudifar

« Ph.D. Students »

Elahe Imani

Behrouz Bolourian Haghighi

Atieh Gharib

« MSc Students »

Nasim Sedighi

Mehdi Sadeghi Bakhi

Sajjad Aemmi

Seyedamirmohammad Rouholamini

« Alumni »

Boshra Rajaee

Mina Masoudifar

Malihe Javidi

Hamid Mansouri

Behnaz Elhaminia

Vida Adeli

Fatemeh Bameri

Mojtaba Masoudi

Noushin Eftekhari

Zahra Ghanaei

Shahaboddin Askarian Bajestani

Maryam Moein Darbari

Fatemeh Motallebi

Sina Rastegar

Vajihe Jami

Najmeh Najmi

Fatemeh Faal Hosseini

Morteza Delgir

Elahe Imani

Farnoosh Ghadiri

Vahid Kiani

Mohsen Zabihi

Elahe soleymanpour

Malihe Javidi

Sara Khanderooy


  • Behrouz Bolourian Haghighi, Amir Hossein Taherinia, and Amir Hossein Mohajerzadeh, TRLG: Fragile blind quad watermarking for image tamper detection and recovery by providing compact digests with optimized quality using LWT and GA, Information Sciences, Volume 486, 2019, Pages 204-230.
  • Shahaboddin Askarian Bajestani, Hamidreza Pourreza, and Shayan Nalbandian. Scalable and view-independent calibration of multi-projector display for arbitrary uneven surfaces, Machine Vision and applications 30.7-8 2019: Pages 1191-1207.
  • Behrouz Bolourian Haghighi, Amir Hossein Taherinia, and Ahad Harati, TRLH: Fragile and blind dual watermarking for image tamper detection and self-recovery based on lifting wavelet transform and halftoning technique, Journal of Visual Communication and Image Representation, Volume 50, page 49-64.
  • Behrouz Bolourian Haghighi, Amir Hossein Taherinia, Dual semi-fragile Watermarking based on Discrete Cosine Transform for Detect and Recover Tampered Region in Color and Gray Images, Journal of Machine Vision and Image Processing, Volume 5(1), page 73-90.
  • Behrouz Bolourian Haghighi, Amir Hossein Taherinia, Semi-fragile watermarking for image tamper detection and self-recovery based on discrete cosine transform, advanced signal processing, Volume 1(1), page 35-46.
  • Behrouz Bolourian Haghighi, Amir Hossein Taherinia, Semi-fragile watermarking for tamper detection of color and gray images based on lifting wavelet transform and nearest neighbor, Tabriz journal of electrical engineering, Volume 47(4), page 1343-1355.
  • Javidi, E.; Pourreza, H.R.; Harati, A.; "Vessel segmentation and microaneurysm detection using discriminative dictionary learning and sparse representation "; Accepted for Computer Methods and Programs in Biomedicine, No. 139, pp. 93-108, 2017.
  • Mansouri, H.; Pourreza, H.R.; "Extreme compression of fingerprint image databases using the model-based transform"; Accepted for Signal, Image and Video Processing.
  • Banaee, T.; Ansari A., M.R.; Pourreza, H.R.; Faal H., F.; Vatanparast, M.; Shoeibi, N.; Jami, V.; "Utility of 1% Tropicamide in Improving the Quality of Images for Tele-Screening of Diabetic Retinopathy in Patients with Dark Irides"; Ophthalmic Epidemiology; Vol. 24; No. 4; pp. 217-221; 2017.
  • Rajaei, B.; von Gioi, R.G.; Facciolo, G; Morel, J.-M.; "Straight subjective contour detector", 10th International Symposium on Image and Signal Processing and Analysis (ISPA), Ljubljana, Slovenia; 2017.
  • Rajaei, B. and von Gioi, R.G.; "Gestaltic grouping of line segments", Accepted for publication on image processing online (IPOL), 2017.
  • Shafiee, S. and Rajaei B.; "A Secure Steganography Algorithm Using Compressive Sensing based on HVS Feature", Seventh IEEE International Conference on Emerging Security Technologies, London, 2017.
  • Rajaei, B.; Gigan, S.; Krzakala, F.; Daudet, L.; "Robust phase retrieval with the swept approximate message passing", Image Processing On Line, 7 (2017), pp. 43–55, 2017.
  • Seyyed Hossein Soleymani , Amir Hossein Taherinia , High capacity image steganography on sparse message of scanned document image (SMSDI) , EN , Multimedia Tools and Applications , Volume ( 76 ) , 2016-10, Pages 1-21
  • Seyyed Hossein Soleymani , Amir Hossein Taherinia , Double expanding robust image watermarking based on Spread Spectrum technique and BCH coding , EN , Multimedia Tools and Applications , Volume ( 75 ) , 2016-8, Pages 1-19
  • Masoudifar, M.; Pourreza, H.R.; "Coded Aperture solution for Improving the Performance of Traffic Enforcement Cameras "; Accepted for IET Image Processing.
  • Philipp del Hougne, Boshra Rajaei, Laurent Daudet, Geoffroy Lerosey , "Intensity-only measurement of partially uncontrollable transmission matrix: demonstration with wave-field shaping in a microwave cavity", Optics Express, 24(16), pp.18631-18641, 2016.
  • Boshra Rajaei, Sylvain Gigan, Florent Krzakala, Laurent Daudet , "Fast phase retrieval for high dimensions: A block-based approach", IEEE Signal Processing Letters 23.9: 1179-1182, 2016.
  • Masoudifar, M.; Pourreza, H.R.; "Analysis and Design of Coded Apertures for Defocus Deblurring Based on Imaging System Properties and Optical Features "; Optical Engineering; 55(10), 104101; Oct. 2016.
  • Boshra Rajaei, Eric W. Tramel, Sylvain Gigan, Florent Krzakala, and Laurent Daudet, "Intensity-only optical compressive imaging using a multiply scattering material: a double phase retrieval system", 41th, IEEE international conference ICASSP, Shanghai, China, 2016.
  • Boshra Rajaei, Rafael Grompone von Gioi, Jean-Michel Morel, "From line segments to more organized gestalts", Second IEEE conference SSIAI, New Mexico, USA, 2016.
  • Masoudi, M.; Pourreza, H.R.; Saadatmand T., M.; Shafiee Z., F.; Amini, M.; Pezeshkirad, M.; "A Review of Computer-Aided Detection of Pulmonary Embolism in CT Angiograms"; Journal of Health and Biomedical Informatics Medical Informatics Research Center; Vol. 3; No. 3; 2016. (In Persian)
  • Masoudifar, M.; Pourreza, H.R.; "Quality Assessment Based Coded Apertures for Defocus Deblurring"; Journal of Information Systems and Telecommunication, Vol. 4, No. 2, April-July 2016.
  • Imani, E.; Pourreza, H.R.;"A Novel Method for Retinal Exudate Segmentation Using Signal Separation Algorithm"; Computer Methods and Programs in Biomedicine, No. 133; pp. 195-205; 2016.
  • Sigari, M.H.; Soltanian-Zadeh, H.; Pourreza, H.R.; "A Framework for Dynamic Restructuring of Semantic Video Analysis Systems Based on Learning Attention Control"; Image and Vision Computing; Vol. 53; pp. 20-34; Sep. 2016.
  • Aghamohamadian-Sharbaf, M.; Pourreza H.R.; Banaee, T.; "A Novel Curvature Based Algorithm for Automatic Grading of Retinal Blood Vessel Tortuosity"; IEEE Journal of Biomedical and Health Informatics; Vol. 20; No. 2; pp. 586-595; March 2016.
  • Imani, E.; Pourrezaa, H.R.; Banaee, T; "Fully automated diabetic retinopathy screening using morphological component analysis"; Computerized Medical Imaging and Graphics; No. 43; pp. 78-88; 2015.
  • Imani, E.; Javidi, E.; Pourreza, H.R.; "Improvement of retinal blood vessel detection using morphological component analysis"; Computer Methods and Programs in Biomedicine; No. 118; pp. 263-279; 2105.
  • Sayahzadeh, J.; Pourreza, H.R.; Salehi Fadardi, J.; " A Fast, Robust, Automatic Blink Detector "; Iranian Journal of Medical Physics (IJMP); Vol. 11; No. 4; 2014.
  • Banaee, T; Ehsaei, A; Pourreza, H.R.; Khajedaluee, M.; Abrishami, M.; Basiri, M.; Daneshvar K., R; Pourreza, R.; "Distribution of normal superficial ocular vessels in digital images"; Contact Lens & Anterior Eye; Vol. 37; Issue 1; pp. 11-15; Feb.2014.
  • Sigari, M.H.; Soltanianzade, H.; Pourreza, H.R.; "A Survey on Hierarchical Semantic Video Analysis Systems in Film Productions"; Journal of Computer Vision and Image Processing; Vol. 1; N0. 2; summer 2013. (In Persian)
  • Sigari, M.H.; Soltanianzade, H.; Pourreza, H.R.; "Goal Event Detection in Soccer Video Based on Fuzzy Reasoning System"; Journal of Computer Vision and Image Processing; Vol. 1; N0. 1; summer 2013. (In Persian)
  • Mirsharif, Q.; Tajeripour, F.; Pourreza, H.R.; "Automated characterization of blood vessels as arteries and veins in retinal images"; Computerized Medical Imaging and Graphics; Vol. 37; Issue 7; pp. 607-617; Oct. 2013.
  • Bahreyni T., M.T.; Pourreza, H.R.; Zare, H.; Sigari, M.H.; Layegh, P.; Azimi, A.; "An effective hair removal algorithm for dermoscopy images;" Skin Research and Technology; Vol. 19; Issue 3; pp. 230-235; Aug. 2013.
  • Tavakioli, M.; Pourreza Sh., R.; Pourreza, H.R.; Mehdizadeh, A.; Banaee, T.; "A complementary method for automated detection of microaneurysms in fluorescein angiography fundus images to assess diabetic retinopathy"; Elsevier Pattern Recognition; Volume 46; Issue 10; pp 2740-2753; October 2013.
  • Rajaei, B.; Maugey, T.; Pourreza, H.R.; Frossard, P.; "Rate-distortion analysis of multiview coding in a DIBR framework;" Annals of Telecommunications; Vol. 68; Issue 11-12; pp. 627-640; Dec. 2013.
  • Babaee Kashany, V.; Pourreza, H.R.; " Camera parameters estimation in soccer scenes on the basis of points at infinity"; IET Computer Vision; Vol. 6, Iss. 2, pp. 133–139; 2012.
  • Pourreza A.R.; Pourreza, H.R.; Abbaspour-Fard, M.H.; Sadrnia, H.; "Identification of nine Iranian wheat seed varieties by textural analysis with image processing"; Elsevier Computers and Electronics in Agriculture; Vol. 83; Apr. 2012.
  • Maleki, A.; Rajaee, B.; Pourreza, H.R.; "Rate-Distrotion Analysis of Directional Wavelets"; IEEE Trans. On Image Processing; Vol. 21; No. 2; Feb. 2012.
  • Soleymanpour, E.; Pourreza, H.R.; Ansaripour, E.; Sadoghi Y., M.; "Fully Automatic Lung Segmentation and Rib Suppression Methods to Improve Nodule Detection in Chest Radiographs"; Journal of Medical Signals and Sensors; Vol.1; No. 3; pp 191-199; Sep. 2011.
  • Arian Maleki, Boshra Rajaei and Hamid-Reza Pourreza, "Rate-distortion improvement of directional wavelets by Megablocking", 36th IEEE international conference ICASSP, Prague, Czech Republic, 2011.
  • Hosseinabadi, F.; Zebarjad, M.; Mazinani, M.; Kiani, V.; Pourreza, H.R.; "Effect of nano-size Calcium Carbonate on Perforation Resistance of Medium-density Polyethylene"; Journal of Advanced Materials in Engineering; Vol. 30; No. 2; pp. 37-49; 2011. (In Persian)
  • Tavakoli, M.; Mehdizade, A.; Pourreza, R.; Banaee, T.; Bahreini T., M.H.; Pourreza, H.R.; "Early Detection of Diabetic Retinopathy in Fluorescent Angiography Retinal Image Using Image Processing Methods"; Iranian Journal of Medical Physics (IJMP); Vol. 7; No. 4; pp. 7-14; Feb. 2011. (In Persian)
  • Pourreza, R.; Pourreza, H.R.; Banaee, T.; Daneshvar K., Ramin; "Retina Vessel Detection Based on Local Radon Transform"; Iranian Journal of Medical Physics (IJMP); Vol. 7; No. 3; Dec. 2010. (In Persian)
  • Pourreza, H.R.; Bahreini T., M.H.; Mehdizade, A.; Pourreza, R.; Tavakkoli, M.; "Automatic Detection of Microaneurysm in Color Fundus Image by Local Radon Transform"; Iranian Journal of Medical Physics (IJMP); Vol. 6; No. 1; pp. 13-20; June 2009. (In Persian)
  • Rahbar, K.; Pourreza, H.R.; "Inside Looking Out Camera Pose Estimation for Virtual Studio"; Elsevier Graphical Models; No. 70; Feb. 2008.
  • Shaffafi, M., Feng, H., Razavi, S.M.A., Shahidi, F. and Pourreza, H.R., "Image Analysis and Dynamic Modeling of Thin Layer Drying of Osmotically Dehydrated Pumpkin", Journal of Food Processing and Preservation; Vol. 32; Issue 1; pp. 88-102; Feb 2008.
  • Sigari, M.H.; Mozayani, N.; Pourreza, H.R.; “Fuzzy Running Average and Fuzzy Background Subtraction: Concepts and Application”; IJCSNS Int. Journal of Computer Science and Network Security, Vol. 8; No. 2; pp. 138-143; Feb. 2008.
  • Shaffafi, M.; Devahestein, S.; Razavi, S.M.A.; Shahidi, F. and Pourreza, H.R.; "Use of Artificial Neural Network and Image Analysis to Predict Physical Properties of Osmotically Dehydrated Pumpkin"; Drying Technology, An International Journal; Vol. 26; Issue 1; pp. 132-144; Jan. 2008.



Pulmonary Embolismnew

Todays, researchers in the field of Pulmonary Embolism (PE) analysis need to use a publicly available dataset to assess and compare their methods. Different systems have been designed for the detection of pulmonary embolism (PE), but none of them have used any public datasets. All papers have used their own private dataset. In order to fill this gap, we have collected 8792 slices of computed tomography angiography (CTA) images acquired from 35 patients, and after labeling the image by experts in this field, we provided a reliable dataset which is now publicly available.



Phylogenetic Tree CUB_200_2011_Birdsnew

A phylogenetic tree shows the relationships among several biological species based on their similarities and differences physical or genetic attributes. For the CUB-200-2011 birds, maximum levels of the phylogenetic tree are 7 but we consider 6 because some of the birds have only 6 levels that mean they are categorized to species level.


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Contact Info

  • (+98) 513-8763306
  • (+98) 513-8806168
  • mvlab@um.ac.ir
  • Faculty of Engineering, Ferdowsi University of Mashhad, Iran

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