DSpace Repository

Browsing Project Report by Subject "Image Processing"

Browsing Project Report by Subject "Image Processing"

Sort by: Order: Results:

  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • Image Processing Based Fabric Detection 
    Hasan, Md. Jaowad (Daffodil International University, 2018-12)
    This project titled “Image Processing Based Fabric Detection”. The purpose of this project is to detect fabric. Lack of knowledge about fabric can cause people to have lower quality or wrong type of fabric. Image processing ...
  • Implementing an efficient image processing technique with deep neural networks for the classification of medicinal herbs 
    Hasan, Md. Mahmudul; Ur Rahman, Nasif (Daffodil International University, 2024-07-15)
    Plants, in all their diversity, represent a valuable contribution from the environment. When illness strikes, whether physical or mental, medicine becomes our primary recourse. Many pharmaceuticals are derived from natural ...
  • License plate detection using a deep transfer learning approach 
    Emon, Md Faisal Habib (Daffodil International University, 2024-07-24)
    License plate detection in Bangladesh poses unique challenges due to the diverse designs, fonts, and variations in plate structures. This study provides a comprehensive overview of recent advancements in License plate ...
  • Litchi Leaf Disease Recognition by Using Image Processing 
    Haque, Md. Imdadul; Alim, Md. Mohsin; Alam, Md. Mahbub (Daffodil International University, 2021-01-31)
    Bangladesh is an agriculture-based country. Most of the people are depends on agriculture. Our Bangladeshi economy also extensively depend on agriculture. In this term of condition this is become very important to grow ...
  • Local fish species classification based on computer vision 
    Showorv, Md. Mehedi Hasan (Daffodil International University, 2024-01-26)
    This research titled as “A Comprehensive Study on Multi-Class Classification and Damage Identification in Bangladeshi Fruits using Deep Neural Networks” presents a comprehensive exploration of fruit classification focusing ...

Search DSpace


Browse

My Account