Now showing items 1-15 of 15

    • Automated car parking system with increased security by digital image processing 

      Chowdhury, Md. Tanzir; Rahman, Sheikh Ashik; Islam, Md. Fahad; Mallick, Md. Rezwan (Brac University, 2019-08)
      In Bangladesh car stealing is very common. Our cars are not secure even in the parking garages. Security guards can not monitor large garages properly all the time. If someone can unlock the car he can easily pass through ...
    • Automatic Bengali image captioning using efficientNet-transformer network and vision transformer 

      Kabir, Muhammad Khubayeeb; Labonno, Anindita; Amin, Sofia; Tahsin, Fariha (Brac University, 2023-01)
      The task of image captioning is a complex process that involves generating textual descriptions for images. This technology is extremely beneficial for a wide range of applications, such as assisting people with visual ...
    • Comparison of deep transfer learning models for cancer diagnosis 

      Joya, Nadia Islam; Turna, Tasfia Haque; Sukhi, Zinia Nawrin; Promy, Tania Ferdousey (Brac University, 2022-05)
      Cancer is known to be one of the most lethal diseases among all the diseases in the world. It is clinically known as ’Malignant Neoplasm which is a vast group of diseases that encompasses unmonitored cell expansion. It ...
    • Crop monitoring system using image processing and environmental data 

      Rabbi, Shadman; Shabik, Ahnaf (BRAC University, 2018)
      We propose advanced crop monitoring system using image processing from environmental data for faster and better yield of agriculture. In the system, we have used colour segmentation and binary masking to analyse and ...
    • Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs 

      Islam, Md. Nazmul (Brac University, 2021-12)
      Radiology imaging, such as magnetic resonance imaging (MRI), computed tomography (CT-scan), X-ray imaging (X-ray), and ultrasound imaging (US), is used to diagnose a variety of disorders, including brain disease, whole-body ...
    • Detecting anomalies in human eyes using structural similarity index measurement 

      Jahan, Monwar; Rushu, Fazle Rabbi; Tabassum, Subah; Ferdous, Jannatul (Brac University, 2018-12)
      From the idea of anomaly, we come to learn that basically it is an idea of abnormality of eyesight, and interruption on the screen of eyes that does not fit with the rest of the pattern. Whatever we see or the images we ...
    • Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method 

      Rafi, Ahmad Abdur; Mahmud, Muhtasim; Pranto, Sakib Dewan; Rahman, Sayemur; Chowdhury, Shihab Rumee (Brac University, 2023-05)
      An essential component of medical diagnosis is the precise detection and localization of anomalies in X-rays of the chest images. It is urgently necessary to develop the most precise automated model to identify thorax ...
    • An emergency based image filtering system 

      Dhar, Bishakha; Smita, Noushin Anzum (Brac University, 2018-12)
      With the invention of new technology day by day the rate of inhuman works is also getting increased as well which ,making our life easier but at the same time unsafe. The new advanced technologies are permitting us to ...
    • Four way effective traffic management system 

      Mehraj, Fahad Sharif; Humayun, Samin Bin; Hossain, Md. Shafayet; Addree, Asfi Adrin (Brac University, 2023-04)
      This study presents a comprehensive approach to developing an effective traffic management system for a four-way intersection. To optimize traffic flow and alleviate congestion, the system incorporates fuzzy logic, image ...
    • Image encryption and decryption using computer generated holography 

      Istiaque, Md. Asif; Mahi, Md. Mainul Islam; Hasan, Syed Aousaf (BRAC University, 2018)
      Holography is an optical technique to generate the interference pattern of the light field created from the interference of two coherent light sources, one being scattered from an object and another reference light being ...
    • Image processing and deep learning approach to evaluate earthquake resistance of urban buildings 

      Ahmed, Yasin; Alam, Tawsiful; Shakil, Md. Hasibur Rahman; Hossain, Md. Tanjidul (BRAC University, 2018)
      The capital of Bangladesh, Dhaka, is one of the most densely populated cities in the world, sits atop the world’s largest river delta at close to sea level, which can trigger a massive earthquake resulting in death of ...
    • Machine learning approach for face recognition from 3D models generated by multiple 2D angular images 

      Mahmud, Moinuddin; Mehzabin, Shegufta; Prova, Sabrina Jahan (Brac University, 2018-12)
      We propose machine learning approach for face recognition from 3D models generated by multiple 2D angular images that recognizes faces from multiple angle of a 3D face model. Though, many works on identifying faces from ...
    • Monitoring of endangered fish using image processing and AI tools 

      Hossain, Naheen; Habib, Ahsan; Plabon, Tasharif Mehedi (Brac University, 2018-12)
      Marine life constitutes half of earth’s total biodiversity. But preservation and monitoring of them efficiently face setbacks largely due to technological limitations and economic reasons. Technological challenges include ...
    • Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation 

      Mollah, Md. Shawon; Ahmed, Farhan Tanvir; Chowdhury, Mahjabin; Ahmed, Iftekhar; Hasan, S. M. Rakib (Brac University, 2023-09)
      "Medical picture segmentation is important for clinical applications because it can offer valuable information on disease identification. With the inclusion of deep learning techniques, the original U-Net and ResUnet ...
    • Semantic segmentation with attention dense U-net for lung extraction from X-ray images 

      Auvy, Akib Al Mahmud; Sharif, Shezhan; Chowdhury, Aseer Iqtider; Elahi, Mahbub-E; Mahmud, Washik Al (Brac University, 2023-03)
      "In the diverse field of computer science, deep learning and digital image processing plays a vital role in medical image research. With a deep knowledge on hand, we can make a machine understand any medical documentation, ...