Features Extraction of Plant Compound Leaf

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.