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Browsing Project Report by Subject "Image Processing"

Browsing Project Report by Subject "Image Processing"

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  • Automated classification of Bangladeshi flower species through image processing and transfer learning 
    Sanyaukta Das Bristi (Daffodil International University, 2024-07-24)
    Flower species classification stands as a quintessential challenge in the realm of computer vision, bearing profound implications for botanical research, conservation, and ecological management. In this study, we embark ...
  • Automated Fruits Quality Assessment through Computer Vision and Deep Learning 
    Parvez, Md. Ratul; Rahman, Md. Ashraful (Daffodil International University, 2024-07-13)
    In agricultural field, automation is essential to raising a country's standard of living, economic expansion, and productivity. A large part of a person's diet is made up of fruits, and finding good fruit in the market ...
  • Automated grading of grapes fruits based on internal and external quality 
    Jony, Juwel Rana (Daffodil International University, 2024-01-24)
    The harvesting time of fruits significantly affects their quality, flavor, and market value. Traditionally, this process relies on subjective human evaluation, which is both timeconsuming and subjective. However, a solution ...
  • Automated Traffic Detection with Image Processing using Raspberry Pi 
    Das, Sumon Kumar; Rahman, Md. Sanjadur (Daffodil International University, 2018-12)
    This project is on “Automated Traffic Detection with Image Processing using Raspberry Pi”. Dhaka, the capital of Bangladesh is the most densely populated city in the world and Traffic the ugliest side of Dhaka's development. ...
  • Automated Trash Detection System Using Image Processing 
    Yeakub, Md (Daffodil International University, 2024-01-22)
    In this modern world any type of detection is an important task. The reason is that in this 20th century anything can be easily found through detection. Among the several types of identification, trash detection is one ...
  • Brain Tumor Detection Using Image Processing 
    Shafi, Md: Emam (Daffodil International University, 2024-07-13)
    This academic paper presents a novel method for identifying brain tumors by utilizing sophisticated (CNN) architectures. This so many hard detect brain tumor cell for a doctor. So, our main goal is to detect brain tumor ...
  • The Classification Of Vegetables and Fruits Using Deep Learning 
    Siam, Md. Shadman Sakib (Daffodil International University, 2024-07-13)
    In this paper, an attempt is made to accurately classify vegetables and fruits. This classification uses a dataset of 6000 photos divided into 15 classes. Convolutional neural networks, a type of deep learning algorithm, ...
  • A Comparative Disease Detection Approach on Potato Leaves with Image Processing Algorithms 
    Asif, Md. Khalid Rayhan (Daffodil International University, 2020-07-08)
    Potatoes are a well-known vegetable to all of us. If we look over other countries, we can simply find that potatoes are the number one vegetable all over the world behind rice, wheat & corn as claimed by many Agricultural ...
  • Comparative Evaluation of Machine Learning and Deep Learning Models for Mango Disease Detection 
    Alif, Hussain Muhammad (Daffodil International University, 2025-09-17)
    Mango is among the most valuable and popular fruits in Bangladesh and most other tropical nations in commercial terms. Mango farmers, however, experience serious losses in crop year after year because of numerous fruit ...
  • Comprehensive analysis of mango leaf disease prediction using traditional machine learning 
    Mahamud, Sadid (Daffodil International University, 2024-07-13)
    Mangoes are grown in different countries for economic value, but tree’s leaves are prone to getting certain diseases that may be destructive on the economical crops. This paper therefore presents in this research the use ...
  • A Computer Vision Approach for Banana Leaf Disease Classification 
    Akash, Anik Dash; Hossain, Md. Iftekhar (Daffodil International University, 2024-07-13)
    This study investigates the potential of computer vision approach for classifying banana leaf diseases - Cordana, Pestalotiopsis, Sigatoka in the context of regional variations. We collected a dataset of banana leaf ...
  • Detection of Different Kinds of Bacterial and Fungal Diseases in Jackfruit Using Image Processing 
    Islam, Md. Saikat; Fahim, Md Waly Ullah (Daffodil International University, 2025-01-12)
    This study presents the development of an AI-driven tool for detecting bacterial and fungal diseases in jackfruit using advanced image processing and deep learning techniques. Leveraging four pretrained convolutional ...
  • Detection of Monkey – Pox Disease Using State of art Deep Learning Tecniques 
    Hossen, Md. Hamim (Daffodil International University, 2025-01-13)
    The viral infection known as Monkey-pox has recently shown a significant increase in its spread. Diagnosing the disease poses a challenge for experts due to its resemblance to other illnesses, particularly those related ...
  • Dragon fruit stem disease classification using deep learning techniques 
    Abdullah - Al - Noman, Md. (Daffodil International University, 2024-07-13)
    Dragon fruit is one of the highly valued economic and nutraceutical fruits produced in the tropical regions. However, the cultivation of dragon fruit is often affected by several stem diseases that if not controlled on ...
  • Enhancing brain tumor detection with royal filter and btv19 model 
    Hossain, Sadia (Daffodil International University, 2024-01-25)
    This work aims to enhance brain tumor diagnosis accuracy by examining crucial aspects of cleaning and filtering MRI datasets, emphasizing the novel integration of Royal filtering with the VGG19 architecture. It employs ...
  • Enhancing Lung Cancer Detection Through Deep Learning-Based Image Segmentation 
    Das, Avishek (Daffodil International University, 2024-01-21)
    This literature review provides a thorough examination of important works in the field of medical image analysis, with a special emphasis on the use of machine learning and deep learning algorithms for identifying lung ...
  • Face emotion recognition using vertically deflected and horizontally deflected face images 
    Ray, Kridita (Daffodil International University, 2024-01-24)
    Face Emotion Recognition has been a one of the common fields of work ever since Deep Leaning technology has been introduced. Although a lot of techniques have acquired a high performance, yet this technology has not been ...
  • Face emotion recognition using vertically deflected and horizontally deflected face images 
    Ray, Kridita (Daffodil International University, 2024-01-24)
    Face Emotion Recognition has been a one of the common fields of work ever since Deep Leaning technology has been introduced. Although a lot of techniques have acquired a high performance, yet this technology has not been ...
  • Fruit Quality Classification using Deep Learning and Explainable AI 
    Annafi, Abdun Nafi; Muhtasim, Tasnuva (Daffodil International University, 2025-05-14)
    Fruit quality classification is a critical task in agriculture and food industries to ensure standardization and market value. This study evaluates the performance of VGG19, MobileNetV2, ResNet50, custom CNN and BiLSTM for ...
  • Grain Counting Based on IoT and Image Processing 
    Majumder, Koushik; Das, Nayan; Islam, Tajul; Ahmed, Ijaz (Daffodil International University, 2020-07)
    This project aims to build a machine that would help the researchers of our country while they are developing any new seed, as they need to count number of grains produced using the SEED in an area and check its quality. ...

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