Smartphone Technology Applications for Milkfish Image Segmentation Using OpenCV Library

Authors

  • Akhmad Qashlim Department of Information System, Faculty of Computer Science, Universitas Al Asyariah Mandar, Polewali Mandar, Indonesia https://orcid.org/0000-0003-1869-498X
  • Basri Basri Informatics Engineering Department, Universitas Al Asyariah Mandar, West Sulawesi, Indonesia https://orcid.org/0000-0002-3502-2889
  • Haeruddin Haeruddin Department of Agribusiness, Universitas Al Asyariah Mandar, West Sulawesi, Indonesia
  • Ardan Ardan Department of Information System, Faculty of Computer Science, Universitas Al Asyariah Mandar, Polewali Mandar, Indonesia
  • Inggrid Nurtanio Informatics Engineering Department, Universitas Hasanuddin, Makassar, Indonesia
  • Amil Ahmad Ilham Electrical Engineering Department, Universitas Hasanuddin, Makassar, Indone-sia

DOI:

https://doi.org/10.3991/ijim.v14i08.12423

Keywords:

Library OpenCV, Citra Segmentation, Android Application, Technology Smartphone

Abstract


This research presents the use of smartphone technology to assist fisheries work. Specifically, we designed an Android application that utilizes a camera connected to the internet to detect RGB image objects and then convert them to HSV and gray scale. In this paper, Android-based smartphone technology using image processing methods will be discussed, a digital tool that provides fish detection results in the form of length, width, and weight used to determine the price of fish. This application was created using features provided by the OpenCV library to produce binary images. Three main challenges highlighted during application design including C ++ QT were used to build the user interface, the contour-active method was used to divide and separate image objects from the back-ground, while the clever edge edge method was used to improve the outline ap-pearance of objects. Both methods are implemented on the Android platform and utilize smartphone cameras as an identification tool. This application makes it possible to provide many benefits and great benefits for farm farmers but on the other hand will create technological gaps

Author Biographies

Akhmad Qashlim, Department of Information System, Faculty of Computer Science, Universitas Al Asyariah Mandar, Polewali Mandar, Indonesia

Akhmad Qashlim received an M.Kom degree in Information Systems from Diponegoro of University, Semarang, Central Java, Indonesia. Currently, he works as a lecturer at Al Asyariah Mandar University, Polewali Mandar, West Sulawesi, Indonesia. His research interests are in the areas of Image Processing, System Information, and Human and Computer Interaction

Basri Basri, Informatics Engineering Department, Universitas Al Asyariah Mandar, West Sulawesi, Indonesia

Basri. Was born on July  05, 1987 His received a Master (MT) in 2015 in the Electrical Engineering Department, Faculty of Engineering, Hasanuddin University, Indonesia. Currently, he works as a lecturer at Al Asyariah Mandar University, Polewali Mandar, West Sulawesi, Indonesia. His research interests are in the areas of Image Processing and Artificial Intelligence, Data mining

Haeruddin Haeruddin, Department of Agribusiness, Universitas Al Asyariah Mandar, West Sulawesi, Indonesia

Haeruddin Was born on January 19, 1990 is with the Agribusiness Department, Faculty of Agriculture, Al Asyariah Mandar University, West Sulawesi, Indonesia. Currently, he works as a lecturer at Al Asyariah Mandar University, Polewali Mandar, West Sulawesi, Indonesia. His research interests are in the areas of supply chain management, technology industry, fishing technology

Ardan Ardan, Department of Information System, Faculty of Computer Science, Universitas Al Asyariah Mandar, Polewali Mandar, Indonesia

Ardan received an S.Kom degree in Information Systems from Al Asyariah Mandar University, Polewali Mandar, Indonesia. Currently Assistant Lecturer at the Faculty of Computer Science for the field of website programming and arti-ficial intelligence in addition to being active in the Artificial Intelligence research group and information systems

Inggrid Nurtanio, Informatics Engineering Department, Universitas Hasanuddin, Makassar, Indonesia

Ingrid Nurtanio is with the Electrical Engineering Department, Faculty of Engineering, Hasanuddin University, Makassar, Indonesia. Currently, her works as a lecturer at the Electrical Engineering Department, Faculty of Engineering, Hasanuddin University, Makassar, South Sulawesi,Indonesia. Her research interests are in the areas of Image Processing, bio information and computer vision

Amil Ahmad Ilham, Electrical Engineering Department, Universitas Hasanuddin, Makassar, Indone-sia

Amil Ahmad Ilham with the Electrical Engineering Department, Faculty of Engineering, Hasanuddin University, Makassar, Indonesia. He works as a lecturer at the Electrical Engineering Department, Faculty of Engineering, Hasanuddin University, South Sulawesi,Indonesia. His research interests are in the areas of Cloud Computing, Computer System, and Information System

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Published

2020-05-20

How to Cite

Qashlim, A., Basri, B., Haeruddin, H., Ardan, A., Nurtanio, I., & Ilham, A. A. (2020). Smartphone Technology Applications for Milkfish Image Segmentation Using OpenCV Library. International Journal of Interactive Mobile Technologies (iJIM), 14(08), pp. 150–163. https://doi.org/10.3991/ijim.v14i08.12423

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Papers