Browsing by Subject "Image processing--Digital techniques."
Now showing items 1-20 of 25
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Automated car parking system with increased security by digital image processing
(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
(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 ... -
Brain tumor segmentation from MRI images using convolutional neural networks
(Brac University, 2022)Brain tumors result from the accumulation of abnormal cells inside the brain. The process of brain tumor segmentation plays a vital role in detecting early-stage brain tumors. There are several challenges in the tumor ... -
Comparison of deep transfer learning models for cancer diagnosis
(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
(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 ... -
D-ARTNET22 V1: a neural network framework against stolen digital artworks getting Non-Fungible Token (NFT) labels
(Brac University, 2022-05)"Since NFT sites gained fame for selling digital arts, NFT crimes have taken a toll on excessive amounts of digital content creators as stolen digital artworks get their ownership changed permanently in the name of the ... -
Deepfake detection in videos detecting face wrapping artifacts with convolutional neural network
(Brac University, 2021-01)Alteration of video les by changing the face of a person on frame is Deepfake. In such manipulated contents a person's face is used on a video performing or saying something that they never actually said or did. Deepfake ... -
Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
(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
(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
(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
(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 ... -
Enhanced medical image analysis: leveraging CUDA for fast and accurate Pneumonia detection with optimized CNNs
(Brac University, 2024-05)Pneumonia, a known leading child killer and a general health burden, continues to be a major concern due to its high morbidity and mortality rates in the developing world, which calls for prompt and accurate diagnosis. ... -
Four way effective traffic management system
(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
(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
(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
(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
(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 ... -
Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection
(Brac University, 2024-01)In this 21st century, maritime routes are crucial for geographical and financial reasons in riverine countries which include passenger traveling, cargo vessels, fishing, etc., and play an equally imperative role in the ... -
Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation
(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
(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, ...
