Detection and recognition of Bangladeshi fishes using surf features and CNN classifier

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

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Shuhin, Syed Adiba, Tajrin, Jannatul, Akhter, Afrin, Israth, Chowdhury
مؤلفون آخرون: Uddin, Jia
اللغة:English
منشور في: Brac University 2019
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10361/12445
id 10361-12445
record_format dspace
spelling 10361-124452022-01-26T10:18:28Z Detection and recognition of Bangladeshi fishes using surf features and CNN classifier Shuhin, Syed Adiba Tajrin, Jannatul Akhter, Afrin Israth, Chowdhury Uddin, Jia Department of Computer Science and Engineering, Brac University Fish detection Edge detection Fish recognition SURF Convolutional neural network Binary masking Keras Neural networks (Computer science) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 37-40). This thesis proposes the detection and recognition of Bangladeshi local fishes using image processing. In the proposed model, we have successfully detected fishes using grass-fire algorithm along with other methods like Gaussian Elimination, noise margin for image pre-processing at first and binary masking, flood-filling of binary image later for detection. After that the species of the detected fish is recognized using Speeded up Robust System (SURF) algorithm and for further analysis it was also done by CNN classifier to check whether the accuracy rate is better than the previous one. This is to be mentioned that we have done the whole research on various species of Fishes available on Bangladesh which has not been done before. We implemented our custom Dataset consisting of 400 sample images in the proposed method to measure out it credibility. Our aim is to detect and recognize fish more accurately with less error percentage. Syed Adiba Shuhin Jannatul Tajrin Afrin Akhter Chowdhury Israth B. Computer Science and Engineering 2019-08-01T06:57:02Z 2019-08-01T06:57:02Z 2018 2018-07 ID 14301080 ID 14301084 ID 14101046 ID 14101064 http://hdl.handle.net/10361/12445 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 40 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language English
topic Fish detection
Edge detection
Fish recognition
SURF
Convolutional neural network
Binary masking
Keras
Neural networks (Computer science)
spellingShingle Fish detection
Edge detection
Fish recognition
SURF
Convolutional neural network
Binary masking
Keras
Neural networks (Computer science)
Shuhin, Syed Adiba
Tajrin, Jannatul
Akhter, Afrin
Israth, Chowdhury
Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
description This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
author2 Uddin, Jia
author_facet Uddin, Jia
Shuhin, Syed Adiba
Tajrin, Jannatul
Akhter, Afrin
Israth, Chowdhury
author Shuhin, Syed Adiba
Tajrin, Jannatul
Akhter, Afrin
Israth, Chowdhury
author_sort Shuhin, Syed Adiba
title Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
title_short Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
title_full Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
title_fullStr Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
title_full_unstemmed Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
title_sort detection and recognition of bangladeshi fishes using surf features and cnn classifier
publisher Brac University
publishDate 2019
url http://hdl.handle.net/10361/12445
work_keys_str_mv AT shuhinsyedadiba detectionandrecognitionofbangladeshifishesusingsurffeaturesandcnnclassifier
AT tajrinjannatul detectionandrecognitionofbangladeshifishesusingsurffeaturesandcnnclassifier
AT akhterafrin detectionandrecognitionofbangladeshifishesusingsurffeaturesandcnnclassifier
AT israthchowdhury detectionandrecognitionofbangladeshifishesusingsurffeaturesandcnnclassifier
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