Image Segmentation Module Development for Image Processing Learning Mobile Application

Abstract

This paper focuses in the development of an image segmentation module for an image processing learning application. This image segmentation module consists of edge detection sub-module and region-based segmentation sub-module. The Graphical User Interface (GUI) is developed by using the Android Studio software. The application is provided with various segmentation techniques, automatic and adjustable parameters, together with brief explanations for each image processing function to improve the learning efficiency of the users. The performance analysis is evaluated through data collection from survey conducted among university students attending formal Image Processing course. The surveys comprise of the market test and performance review surveys. It can be concluded that the understanding level among students increased 133.33% for extremely understand level, and 20% in-creased for moderately understand level. Furthermore, the number of students who did not understand has been decreased 100%. Therefore, 100% of respondents with formal Image Processing knowledge agreed that their understanding increased with the assistance of this application in their conventional face-to-face Image Processing learning.