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.
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Brac University
2019
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الوصول للمادة أونلاين: | http://hdl.handle.net/10361/12445 |
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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 |
_version_ |
1814308884742930432 |