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Smartphone Technology Applications for Milkfish Image Segmentation Using OpenCV Library

, Department of Information System, Faculty of Computer Science, Universitas Al Asyariah Mandar, Polewali Mandar, Indonesia ; , Informatics Engineering Department, Universitas Al Asyariah Mandar, West Sulawesi, Indonesia ; , Department of Agribusiness, Universitas Al Asyariah Mandar, West Sulawesi, Indonesia ; , Department of Information System, Faculty of Computer Science, Universitas Al Asyariah Mandar, Polewali Mandar, Indonesia ; , Informatics Engineering Department, Universitas Hasanuddin, Makassar, Indonesia ; , Electrical Engineering Department, Universitas Hasanuddin, Makassar, Indone-sia

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

Citation

Qashlim, A., Basri, B., Haeruddin, H., Ardan, A., Nurtanio, I. & Ilham, A. (2020). Smartphone Technology Applications for Milkfish Image Segmentation Using OpenCV Library. International Association of Online Engineering. Retrieved July 11, 2020 from .