Transcript Poster Sample

Mobile Plant Classification based on Leaf Shape
Interface of the Application
Segmentation on images of leaf
Why do customers/users NEED this innovation?
Forestry students from the Department of Forest Management are required to gather leaf samples for
plant identification purposes in the forest. The students and researchers need to refer to a book for
guidance in the classification of the leaves. The mobile application makes use of images of the leaves
captured using a mobile device, applies shape recognition using image processing technique, and
finally classify leaves based on their shape. The Mobile Plant Classification App facilitates the students
and researchers in managing their leaves collection.
Explain the innovation
Benefits/advantages
We propose a solution in which leaves
classification can be done using a mobile
application which has access to an image database.
The program will classify the image of the leaf into
a few pre-determine classes. The segmentation of
the images are done by estimating foreground and
background color distributions and independently
classify each pixel.
The application eases the students and
researchers in recognizing leaves collection. It
makes use of images of the leaves captured
using the mobile phone, applies shape
recognition using image processing technique,
and finally classify leaves based on their shape.
Who are the potential consumer?
Other existing mobile application for plant
identification are merely based on common
plants, without leave classification. Furthermore
the leave collection is specifically for tropical
rainforest.
Forestry students and researchers that are involved
in plant identification purpose.
Researcher’s Name
Co-Researchers’
Name
Department
Faculty
Email
Contact No.
Competitors/current practice
: Siti Nuradilah Binti Azman
Syazwan Shohaimi, AP Dr Lilly Suriani Affendey, Dr Iskandar Ishak, AP
:
Dr Fatimah Sidi, Dr Paiman Bawon
: Department of Computer Science
: Faculty of Computer Science and Information Technology
: [email protected]
: +0193505012