Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/5846
Title: Android Door/Window Image-based Measurements Application
Authors: Mohammad, Khader
Alsadeh, Ahmad
Qarabsa, Amer
Khalil, Shatha
Dirieh, Mona
Keywords: Image processing - Digital techniques
Mobile window measurement
Mobile door measurement
Mobile computing
Image-based measurements
Issue Date: 29-Jan-2017
Publisher: Society for Imaging Science and Technology
Abstract: Due to the huge growth in the digital image processing scope and its wide usage in many applications, find objecting dimensions and area remotely will have a great advantage in engineering, industry, and personal business usage. Therefore, this paper proposes an approach to find the object dimensions by using digital images. The system is built for automated image-based measurement using an android mobile application where a user takes an image of an object that could be door/window or any desired object to be measured. The system detects the image of objects to be processed, then it automatically finds the image scale using camera zoom property to measure the dimensions of the desired object. The proposed method applied and tested using images of different objects taken from different places with different features such as size, brightness and angle, The accuracy reached 100% for determining the object corner and dimensions of objects. The system reached 81% of detecting the objects due to noise and clarity issues. Also, the system shows an error of ±0.9% in dimensions measurements that differs according to the focal length of the camera and zoom.
URI: http://hdl.handle.net/20.500.11889/5846
Appears in Collections:Theses

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