Web Interface for Image Processing Using Android

The main goal of this project is to develop an Android application that visualizes the results of a simulation performed in MATLAB/Simulink. The project, titled "Web Interface for Image Processing Using Android," proposes a system where image processing tasks are executed on MATLAB via a web service, with the Android application serving as the user interface. In this system, the user provides an input image from the Android application. The image is then transmitted to a server, where MATLAB performs the required image processing operations. Once the processing is complete, the output is sent back and displayed in the Android application. This setup allows computationally intensive tasks to be handled by MATLAB on a PC, ensuring that the mobile application remains lightweight and efficient. The Android application is developed using custom libraries created during this project, facilitating smooth communication with a MATLAB/ Simulink-based server over an internet connection. The backend of the system is implemented using PHP and My SQL, with XAMPP being used as the local server environment.

Authors

Publication Details

Journal
Greenfort International Journal of Applied Medical Science
Published
2025-03-22
DOI
https://doi.org/10.62046/gijams.2025.v03i02.007
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Web Interface for Image Processing Using Android

M. Tamilselvi, B Vinitha, Heber Anandan, Dhanisha JL
Greenfort International Journal of Applied Medical Science
IoT-based Smart Home Systems
article

Web Interface for Image Processing Using Android

M. Tamilselvi, B Vinitha, Heber Anandan, Dhanisha JL
article en

Abstract

The main goal of this project is to develop an Android application that visualizes the results of a simulation performed in MATLAB/Simulink. The project, titled "Web Interface for Image Processing Using Android," proposes a system where image processing tasks are executed on MATLAB via a web service, with the Android application serving as the user interface. In this system, the user provides an input image from the Android application. The image is then transmitted to a server, where MATLAB performs the required image processing operations. Once the processing is complete, the output is sent back and displayed in the Android application. This setup allows computationally intensive tasks to be handled by MATLAB on a PC, ensuring that the mobile application remains lightweight and efficient. The Android application is developed using custom libraries created during this project, facilitating smooth communication with a MATLAB/ Simulink-based server over an internet connection. The backend of the system is implemented using PHP and My SQL, with XAMPP being used as the local server environment.

Greenfort International Journal of Applied Medical ScienceVol. 3(2)
Openalex Percentile: Top 94%
IoT-based Smart Home Systems
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