Thesis Defense - Ahad Aghapour (MSCS)

Ahad Aghapour - M.Sc. Computer Science

Prof. Fatih Uğurdağ - Advisor 

Date: 20.08.2020

Time: 14:00

Location: This meeting will be held ONLINE. Please send an e-mail to gizem.bakir@ozyegin.edu.tr in order to participate in this defense.

A Novel Method for Automatic Fish Counting Based on

  Machine Learning Using Morphological Features

Thesis Committee:

Prof. Fatih Uğurdağ, Özyeğin University

Prof. Tanju Erdem, Özyeğin University

Asst. Prof. Tacha Serif, Yeditepe University

Abstract:

Offering a method for counting fish in a real-time continuous manner introduces several advantages to the productivity of fish farming. In this paper, we introduce some approaches to enable this continuity via using methods to confront the challenges that are inevitably inherent for this job. Our approaches mainly include taking advantage of machine learning for training the model by using suitable morphological features, shape analysis, and image processing methods. Several morphological features and training methods are tested to pick out the most suitable ones. Our results show achieving accuracy of 99.44% for the worst case test samples, which is the highest so far, in addition to having the continuity in counting which is rare among the previous methods.

Bio: 

Ahad Aghapour received his B.Sc. degree in software engineering from Applied Science University of Jahad, Tabriz, Iran in 2010. Throughout his undergraduate studies, he was a freelance programmer and participated in many projects as a developer during his study. Afterward, he worked at ASR-Gooyesh-Pardaz company as a senior programmer for around 6 years in Tehran, Iran. Later on, he pursuing his master’s degree in the field of image processing and computer vision under the supervision of Professor Fatih Ugurdag at Ozyegin University, Istanbul, Turkey. His research interests include machine/deep learning, computer vision, and image processing. During the study, he has submitted a journal paper and has a patent of fish counting machine in Turkey.

--------------------------------

Kişisel Verilerin Korunması/Aydınlatma Metni

Özyeğin Üniversitesi Fen Bilimleri Enstitüsü bünyesindeki programlarda, izleyici olarak katılınan online platformlarda gerçekleştirilen aleni akademik faaliyetlerin sadece idari ve yasal yükümlülüklerin yerine getirilmesi amacıyla kayıt altına alındığı, söz konusu kayıt ile elde edilen kişisel verilerin ilgililer tarafından başka bir amaçla kullanılamayacağı hususunda şahsınızı aydınlatır, toplantıya gönüllü katılım ile bu hususu beyan ve taahhüt etmiş olduğunuzu belirtir, gereğini önemle rica ederiz. 

Fen Bilimleri Enstitüsü