Monitoring of endangered fish using image processing and AI tools

Monitoring of endangered fish using image processing and AI tools

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Bibliografiske detaljer
Main Authors:	Hossain, Naheen, Habib, Ahsan, Plabon, Tasharif Mehedi
Andre forfattere:	Uddin, Jia
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2019
Fag:	Image processing Endangered fish Object detection Image processing > Digital techniques. Machine learning.
Online adgang:	http://hdl.handle.net/10361/12291

Lignende værker

Detecting anomalies in human eyes using structural similarity index measurement
af: Jahan, Monwar, et al.
Udgivet: (2019)

Road sign detection and translation in Bangla using image processing and machine learning
af: Islam, Khalid Amirul, et al.
Udgivet: (2019)

Digital Image processing using MATLAB /
af: Gonzalez, Rafael C.
Udgivet: (2009)

Crop monitoring system using image processing and environmental data
af: Rabbi, Shadman, et al.
Udgivet: (2019)

Digital image processing : PIKS inside /
af: Pratt, William K.
Udgivet: (2004)

Digital image processing /
af: Gonzalez, Rafael C.
Udgivet: (2002)

Digital Image processing using MATLAB /
af: Gonzalez, Rafael C.
Udgivet: (2004)

Cancer detection using image processing techniques based on cell counting, cell area measurement and clump detection
af: Pavel, Monirul Islam, et al.
Udgivet: (2018)

Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection
af: Zafreen, Zasia, et al.
Udgivet: (2024)

Image encryption and decryption using computer generated holography
af: Istiaque, Md. Asif, et al.
Udgivet: (2018)

Two-dimensional signal and image processing /
af: Lim, Jae S.
Udgivet: (1990)

Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
af: Ahmed, Yasin, et al.
Udgivet: (2018)

Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
af: Mizan, Mubasshira, et al.
Udgivet: (2024)

Endangered languages of Austronesia

Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method
af: Rafi, Ahmad Abdur, et al.
Udgivet: (2023)

Reconstruction of images with RPCA and augmenting 3D model
af: Tahiti, Tasnia Jasim, et al.
Udgivet: (2022)

Automatic Bengali image captioning using efficientNet-transformer network and vision transformer
af: Kabir, Muhammad Khubayeeb, et al.
Udgivet: (2023)

A novel approach for digital image watermarking
af: Mitashe, Mashruha Raquib, et al.
Udgivet: (2016)

Smoke detection using image processing
af: Sarker, Md. Kamrujjaman
Udgivet: (2018)

Automated car parking system with increased security by digital image processing
af: Chowdhury, Md. Tanzir, et al.
Udgivet: (2020)

Digital geometry : geometric methods for digital picture analysis /
af: Klette, Reinhard
Udgivet: (2004)

Practical algorithms for image analysis : description, examples, programs, and projects /
af: O'Gorman, Lawrence
Udgivet: (2008)

An efficient way to convert 1D signal to 2D digital image using energy values
af: Azad, Muntasir, et al.
Udgivet: (2018)

D-ARTNET22 V1: a neural network framework against stolen digital artworks getting Non-Fungible Token (NFT) labels
af: Dipro, Farhan Hasin, et al.
Udgivet: (2024)

Comparison of deep transfer learning models for cancer diagnosis
af: Joya, Nadia Islam, et al.
Udgivet: (2023)

ACEEE international journal of signal and image processing.

Smart detection and classification of fungal disease in rice plants using image processing techniques
af: Rashed, Akib, et al.
Udgivet: (2024)

Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
af: Datta, Anurag, et al.
Udgivet: (2022)

Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
af: Shuhin, Syed Adiba, et al.
Udgivet: (2019)

An emergency based image filtering system
af: Dhar, Bishakha, et al.
Udgivet: (2019)

Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
af: Islam, Md. Nazmul
Udgivet: (2023)

Blood group detection using image processing techniques
af: Rahman, Sakib, et al.
Udgivet: (2018)

ResInvolution: an involution-ResNet fused global spatial relation leveraging model for histopathological image analysis under federated learning environment
af: Dipto, Shakib Mahmud
Udgivet: (2024)

Analysis of deep learning models on low-light pest detection
af: Irtiza, Md. Samin, et al.
Udgivet: (2023)

Damaged road detection using Image Processing and Deep Learning
af: Swadesh, Shimran Mahbub, et al.
Udgivet: (2022)

Assisting the visually impaired people using image processing
af: Rahman, Ferdousi, et al.
Udgivet: (2018)

Techniques and standards for image, video, and audio coding /
af: Rao, K. Ramamohan (Kamisetty Ramamohan)
Udgivet: (1996)

Enhanced medical image analysis: leveraging CUDA for fast and accurate Pneumonia detection with optimized CNNs
af: Alvi, Md.Waseq Alauddin
Udgivet: (2024)

A deep face-mask detection model using DenseNet169 and image processing techniques
af: Bhowmik, Durjoy, et al.
Udgivet: (2022)

Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
af: Uddin, Mohammad Sakib, et al.
Udgivet: (2024)