Development of android apps for image processing

With rapid development of mobile technology and image processing, mobile application involving image processing has been largely emerged in many fields. Android, a mobile operating system based on Linux kernel, has the largest installed base of all general-purpose operating systems. Now there are...

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Main Author: Chen, Qian
Other Authors: Tan Eng Leong
Format: Theses and Dissertations
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/68678
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-686782023-07-04T15:04:15Z Development of android apps for image processing Chen, Qian Tan Eng Leong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering With rapid development of mobile technology and image processing, mobile application involving image processing has been largely emerged in many fields. Android, a mobile operating system based on Linux kernel, has the largest installed base of all general-purpose operating systems. Now there are over one billion active Android users and the marketing of Android applications is still increasing. This report analyzes and compares the conventional image segmentation methods which all suffer from inaccuracy problems. It also proposes an effective interactive image segmentation algorithm based on color space. It mainly executes in two steps, firstly user is required to enclose a small sample region in the predefined region of interest. Then the programme will identify all the similar-color objects present in the image and label the connected components. Based on the selected component, the programme will recognize and classify the image into a specific category and display the meaning. The algorithm is implemented in MATLAB first and transferred to the Android application. The proposed method has significantly improved the segmentation and recognition accuracy. Both of the experiments can achieve an excellent and improved result. This programme can be applied in both entertainment and education. It has the recreation significance for people to process their images or photos as well as the education significance for students to understand the meaning of an image or an object. Master of Science (Communications Engineering) 2016-05-30T08:41:46Z 2016-05-30T08:41:46Z 2016 Thesis http://hdl.handle.net/10356/68678 en 90 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Chen, Qian
Development of android apps for image processing
description With rapid development of mobile technology and image processing, mobile application involving image processing has been largely emerged in many fields. Android, a mobile operating system based on Linux kernel, has the largest installed base of all general-purpose operating systems. Now there are over one billion active Android users and the marketing of Android applications is still increasing. This report analyzes and compares the conventional image segmentation methods which all suffer from inaccuracy problems. It also proposes an effective interactive image segmentation algorithm based on color space. It mainly executes in two steps, firstly user is required to enclose a small sample region in the predefined region of interest. Then the programme will identify all the similar-color objects present in the image and label the connected components. Based on the selected component, the programme will recognize and classify the image into a specific category and display the meaning. The algorithm is implemented in MATLAB first and transferred to the Android application. The proposed method has significantly improved the segmentation and recognition accuracy. Both of the experiments can achieve an excellent and improved result. This programme can be applied in both entertainment and education. It has the recreation significance for people to process their images or photos as well as the education significance for students to understand the meaning of an image or an object.
author2 Tan Eng Leong
author_facet Tan Eng Leong
Chen, Qian
format Theses and Dissertations
author Chen, Qian
author_sort Chen, Qian
title Development of android apps for image processing
title_short Development of android apps for image processing
title_full Development of android apps for image processing
title_fullStr Development of android apps for image processing
title_full_unstemmed Development of android apps for image processing
title_sort development of android apps for image processing
publishDate 2016
url http://hdl.handle.net/10356/68678
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