Browsing by Subject "Image processing"
Now showing items 1-20 of 75
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3D model designing of microneedles
(BRAC University, 2018-09)The rising demand and resulting success of transdermal products over the last three decades have seen the expanding path for 3D printed microneedles. The benefits of the application of transdermal drugs via 3D printed ... -
Anti-aliasing for real-time applications in 3D using deep convolutional neural network
(Brac University, 2020-04)In this paper we present a convolutional neural network model for solving the long- standing aliasing problem in the real time 3D graphics industry. Aliasing refers to the problem of having hard jagged edges in the ... -
Application of image processing in traffic control system & license plate detection
(BRAC Univeristy, 2017-08)A license plate detect system is one type of intelligent transportation system. It is a type of technology in which the software enables computer system to read automatically the license number plate of vehicle from ... -
Assisting the visually impaired people using image processing
(BRAC University, 2018-07)Visually impaired people face difficulties in safe and independent movement which deprive them from regular professional and social activities in both indoors and outdoors. Similarly they have distress in identification ... -
Automated drug detection and location identification for visually impaired using image processing and voice commands
(BRAC University, 2017-12)This report proposed a system which will aid visually impaired to detect and locate medicine (drug) using voice commands. It is a challenge to build a system which will assist a person how has eye sight difficulties. So ... -
Automated overtaking assistance system: a real-time approach using deep learning techniques
(Brac University, 2023-03)Road accidents are one of the major causes of fateful deaths in Bangladesh. In most cases it is caused by Overtaking on highways or on regular roads. In terms of overtaking the major task is to decide whether the overtaking ... -
Automatic will enabled system of multi-modal operation
(© 2013 IEEE, 2013)AWESOMMO(Automatic Will Enabled System of Multi-Modal Operation)uses Sony PS3 Eye image sensor for high speed image processing and a microphone for voice recognition commands. Armed with 3 degrees of freedom of operation, ... -
Bangali Handwritten characters classification using Deep Convolutional Neural Network
(Brac University, 2022-05)Handwritten letter classification of any given language has the potential to be used in various fields such as literature, educational institutions, digitization of govern ment records etc. Bengali language with its complex ... -
Bangla sign language interpretation using image processing
(BRAC University, 4/18/2017)Instant feedback on sign language can greatly improve sign language interpretation. In this project we plan to use efficient methods to detect the hand correctly using skin detection algorithm and removing all noise using ... -
Bangla text extraction by digital image processing
(2017-12)Optical character recognition (OCR) is a technology to extract the text from an image. The main purpose of an OCR is to make editable text documents from different scanned documents, image files or books. In this paper, ... -
Bengali hand sign language recognition using convolutional neural networks
(BRAC University, 2019-04)Throughout the world the number of deaf and mute population is rising ever so increasingly. In particular Bangladesh has around 2.6 million individuals who aren't able to communicate with society using spoken language. ... -
Blurring of inappropriate scenes in a video using image processing
(Brac University, 2018-10)Inappropriate scenes such as bloody scenes, nudity, gore, drugs, weapons etc. are considered inappropriate especially in a developing Muslim country like Bangladesh. In our country, such scenes are very discouraged for ... -
Breast cancer prediction using different machine learning models
(Brac University, 2019-08)Breast cancer is often the most lethal diseases with a large mortality rate especially among women. Despite the severe effect of the disease, it is possible to pinpoint the genre of breast cancer using diff t machine ... -
Cancer detection using image processing techniques based on cell counting, cell area measurement and clump detection
(BRAC Univeristy, 8/21/2017)We proposed cancer cell detection using image processing techniques based on cancer cell counting, cell area measurement and clump detection. The proposed system autonomously detects traits of cancer in microscopy images ... -
Classification of potato and corn leaf diseases using deep learning
(Brac University, 2024-06)One of the major hindrances to sustainable agriculture and an imminent threat to food security is plant disease. Constantly monitoring a plant’s health and spotting the problems in it is quite painstaking because it ... -
A Comparative study on Bengali handwritten character recognition and prediction using CNN
(Brac University, 2021-01)The transcription Bengali text to digital text is neither very efficient nor accurate. This proves to be a problem because most official work in Bangladesh is traditionally done in Bengali, on pen and paper hardcopy documents, ... -
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 ... -
Computer vision based skin disease detection using machine learning
(Brac University, 2022-09-28)Skin cancer have been the primary focus of this study, as they are one of the most deadly diseases if not diagnosed and treated early. The study will make it possible for computer science and medical science to work ... -
Computer vision-based Bengali sign language to text generation
(Brac University, 2022-01)In the whole world, around 7% of people have hearing and speech impairment problems. They use sign language as their communication method. People from various countries use a variety of sign languages. As an example, ... -
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early disease identification reduces crop loss. Manual leaf diagnostic imaging takes time and is prone to mistakes. This thesis proposes a ...
