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Title: Interactive image segmentation on mobile devices with touch screen
Authors: Ng, Amelia Wan Ting
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2014
Abstract: Image segmentation is one of the most fundamental and challenging problems in image processing. One of the popular applications is to extract the foreground object from the background of an image based on user-defined scribbles. This paper presents a description of three popular image segmentation techniques, Geodesic segmentation algorithm, GrabCut algorithm and Random walks segmentation scheme. These algorithms have been successfully implemented on computer platforms. However, there is no such image segmentation algorithm being implemented on mobile devices at current. To keep up with the smart phone and tablet trends, this paper discusses the implementation of image segmentation on touch screen devices whereby users can provide scribbles interactively. The application will focus on the implementation of Geodesic algorithm running on Android Operating System (OS).
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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