Machine Vision Research Lab

 

Machine Vision Research Lab

 

Laboratory Manager:

Dr. Gholamreza Akbarizadeh

Professor of Shahid Chamran University of Ahvaz, faculty member of the Electrical Engineering Department

Email:   g.akbari@scu.ac.ir

 

1- The purpose of establishing the laboratory

The field of image processing, especially satellite images, has grown not only in Iran but all over the world. An electronic engineer mainly requires vision recognition in advanced electronic systems such as satellites; Because electronic engineers look at the whole set. The meaning of the collection is an electronic system that, in addition to processing, includes issues such as hardware, image formation  and detectors , lenses, CCD  cameras and all such categories. Here, an intelligent electronic system such as a satellite is considered. . This field of research has progressed a lot in the world. Today, we see very advanced satellite systems that image the surface of the earth or other planets located in the solar system. These satellites may have commercial applications such as oil and gas exploration, etc., or they may be used in fields such as meteorology, or they may be used in military applications and generally in electronic warfare. In today's electronic world, we see that the issue of tracking, which used to be very important in military systems, is even used in games today; Games are made where a person stands in front of it, makes movements, the system based on image processing detects it , and the game is played without a person needing to hold a lever or a device. In satellite systems, today there are satellites whose purpose is to track roads in order to create an intelligent traffic system (ITS). In Iran, good steps have been taken in the field of satellite image processing and there is a very bright future in this field; Because this field of research is one of the favorite aspects of students and industry. In the master's course, the projects that students choose in the field of satellite image processing are very high-level projects. Our country is moving in that direction at a good speed, it is acquiring the necessary knowledge, and inside the country, there is no problem in terms of reaching processing algorithms in this field. Of course, there are hardware problems inside the country that cannot be ignored; But there is the ability to write and use an algorithm in every category.

One of the practical aspects of satellite image processing is research in the field of remote sensing. The purpose of research in the field of remote sensing is to prepare students to work in the industry in the field of electronic systems related to satellites. Also, students in this field of research will be able to master the following main areas:

  1. Remote sensing and electronic satellite systems
  2. Intelligent transportation systems and traffic management
  3. Intelligent car for satellite and airplane navigation
  4. Radar, infrared, optical and laser satellite systems
  5. Multispectral and hyperspectral imaging
  6. Space-based electronic warfare systems
  7. Development of space-based businesses in the five fields of agriculture, urban services, meteorology, environment and crisis management based on the country's needs.
  8. Intelligent educational systems
  9. Environment monitoring systems
  10. Mapping of land resources

2- Available capabilities and facilities

2-1- Graduate students

The titles of completed or ongoing theses related to the objectives of this laboratory are as follows:

  1. Segmentation of land and water to determine the coastline in   SAR images : Mohammad Madawa (Ph.D.)
  2. Improving segmentation of SAR images in order to identify oil slicks: Nastern Aghaei (Ph.D.)
  3. Segmentation of SAR images using sparse spectral clustering: Masoumeh Rahmani (senior section)
  4. Segmentation of SAR images using unsupervised training of combined features: Zainab Thiranz (Senior Section)
  5. Identification of oil slick in SAR images based on feature selection in shape space: Asma Raisi (senior section)
  6. Edge detection in SAR satellite images using fuzzy cellular automata: Mohammad Farbad (senior section)
  7. Biometric identity recognition based on iris images using image processing methods: Neda Ahmadi (senior course)
  8. Cumulative classification of targets using combination of SAR and optics images: Dania Karimi (Senior Section)
  9. Removal of speckle from SAR images using multi-scale Corlott transform and adaptive thresholding: Munira Sooreh (Senior Section)
  10. Extraction of texture descriptors in SAR images using ivy transformation and GLCM matrix : Zahra Faraji (senior section)
  11. Extracting geological features from images and gamma signals to optimize the MWD and LWD system : Mohammad Shabarangi (Senior Section)
  12. Compression of SAR images using multiscale dictionary and thin display: Kamran Jamalzadeh (senior section)
  13. Automatic detection of polyps in wireless endoscopic capsule images using features based on geometric shape: Elham Zanganeh (Senior Section)
  14. Diagnosis and classification of reservoir rock fractures in video logs: Fatemeh Tayibi (senior section)
  15. Interpreting and evaluating the quality of cement sealing in a smart way: Esmat Mousavi (graduate course)
  16. Detection of pulmonary nodules in CT scan images based on unsupervised feature training: Amal Isapour Moghadam (Senior Section)
  17. Segmentation of kidney stones in ultrasound images using the optimized level adjustment function: Sara Naderi (senior section)
  18. Registration of SAR images using the combination of new feature extraction and selection methods: Mohsen Norouzi (Senior Section)
  19. Increasing resolution in POLSAR images using deep neural networks: Samia Delfi (senior section)
  20. Detecting Changes in SAR Images Using Deep Neural Networks: Farnam Samadi (Senior Section)
  21. Classification of man-made targets in SAR images using convolutional neural networks: Forough Sharifzadeh (senior course)
  22. Ship detection in SAR images based on spatial resolution accuracy: Farzin Dastanbo (Senior Section)

2-2- Published articles

  1. Publication of an article in IEEE Transactions on Geoscience & Remote Sensing (Q1)
  2. Publication of two articles in IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing (Q۱) 
  3. Publication of an article in Measurement magazine (Q۱)
  4. Publication of an article in International Journal of Remote Sensing (Q۲)
  5. Publication of an article in IET Biometrics magazine (Q۳)
  6. Publication of an article in IET Radar Sonar and Navigation magazine (Q۳)
  7. Publication of an article in IET Computer Vision magazine (Q۴)
  8. Publication of two articles in Journal of Electronic Imaging (Q۴)
  9. Publication of three articles in Tabriz University Electrical Engineering Journal ( ISC )
  10. Publication of three articles in the Electronic Industry Quarterly ( ISC )
  11. Acceptance of an article in the journal IEEE Transactions on Aerospace and Electronic Systems ( Q۱)
  12. Acceptance of an article in the journal ( Q۳ ) Signal, Image, and Video Processing

The above articles have been referred to more than ۴۰۰ times ( Citations ). Also, until this moment, I have h-index = ۱۲ and ۱۳ of the articles have been referred to more than ۱۰ times. This information can be seen on the following site:

https://scholar.google.com/citations?user=۶۹gth۳۸AAAAJ&hl=en&oi=ao

2-3- Available equipment

  1. Suitable physical space of about ۳۰ meters
  2. Three large tables
  3. About ۷ seats
  4. Stationery
  5. A printer
  6. A scanner
  7. A computer case with monitor, keyboard and mouse
  8. An HPDL ۳۸۰G۹ server machine with a price of over ۴۰ million tomans with the ability to process large data
  9. A Mega Vision image and video receiving and processing board with a price of over ۲ million Tomans; It has FPGA and DSP processors on board

2-4- Colleagues outside the group

  1. Dr. Kazem Rangzan
  2. Dr. Hassan Zaki Dizji
  3. Dr. Hassan Masoudi
  4. Dr. Yaqub Mansouri
  5. Dr. Seyed Inayatullah Alavi
  6. Dr. Marjan Nadran

2-5- Colleagues within the group

The capacity of all colleagues in the electricity group will be used.

3- Requirements

  1. A laptop device with four processor cores
  2. A color printer
  3. An FPGA programmer device
  4. A DSP programmer device

4- Funding sources

  1. Grant
  2. Definition of demand-oriented theses through industries and companies outside the university
  3. Defining demand-oriented projects with industries outside the university

 

Thank you very much

Dr. Gholamreza Akbarizadeh

Professor, Department of Electrical Engineering, Shahid Chamran University of Ahvaz, Ahvaz