LeafSnap

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computer vision-based mobile plant classification application(Android)

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LeafSnap
========
This project presents a computer vision-based mobile plant classification application. The objectives to develop such a mobile application is to utilize smartphones and benefit from the photographs taken by their camera in order to perform environmental monitoring. Moreover, enabling individuals to use such a technnology is expected to increase individuals' awareness to their environment. The developed application identifies the plants by processing a photograph of its leaf. The main processing steps of the system are: determining whether there is a leaf in the photo, detecting whether there is a blur, leaf segmentation, feature extraction, and classification. Each building block of the system is tested separately and promising results have been obtained in the experiments
 <img src="https://raw.github.com/cihanturkay/LeafSnap/master/assets/content.png">

Important Notes
===============

This project need a server to run. The server includes computer vision operations. 
<img src="https://raw.github.com/cihanturkay/LeafSnap/master/assets/flow.png"> 
More information about REST API, you can check <a href="https://github.com/aksakalli/Graduation-Project">this project</a>

Dependencies
============

<a href="https://github.com/jgilfelt/android-mapviewballoons">MapView Balloons</a> 
<a href="https://github.com/koush/UrlImageViewHelper">URLImageViewHelper</a> 
<a href="https://github.com/JakeWharton/ActionBarSherlock">ActionBarSherlock</a>

Related Work
============
<a href="http://leafsnap.com">Leaf Snap</a>

LeafSnap

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