RECOGNITION OF FRACTAL DIMENSION OF MEDICAL PLANT LEAVES BY USING TECHNIQUES OF IMAGE PROCESSING

The leaves of a plant having unique properties and it will be different from that of other leaves. So leaf recognition can represent a tree or plant recognition. This report describes some of the findings of currently published work in the area of leaf recognition. From these we are aiming to create a good leaf recognition system. Leaf Images acquired first goes for preprocessing. Then some relevant features are extracted. Our objective is to extract feature based on fractal dimensions. A fractal has been defined as a rough or fragmented geometric shape that can be split into parts, each of which is reduced-size copy of the whole. For classification a new learning algorithm called extreme learning machine (ELM) for single-hidden layer feed forward neural networks (SLFNs) which randomly chooses hidden nodes and analytically determines the output weights of SLFNs will be experimented using for the better result.