Abstract:
Extraction features from plant leaf represents a challenging problem in image processing. Many
researchers extracted features from plant leaf to help in plant classification and also in early
· diagnosis of certain plant diseases. Many previous researches emphasized on extracting features
from simple leaf using image processing techniques.
This project aims at proposing a methodology to extract features from a compound leaf using
image processing, which is used for clustering plants that have compound leaves into similarity
groups; this will help to know the plants that have similarity features. The experimental results
show that the proposed methodology of extracting features from a compound leaf can be used to
cluster the plant compound leaf into similarity groups using hierarchical clustering method.
