An Approach to Improve Classification Accuracy of Leaf Images using Dorsal and Ventral Features

Arun Kumar,Deepak Khazanachi,Poonam Saini,Vinod Patidar

doi:10.14569/ijacsa.2015.060917

Arun Kumar, Deepak Khazanachi + Show 2 more

Open Access

https://doi.org/10.14569/ijacsa.2015.060917

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Abstract

This paper proposes to improve the classification accuracy of the leaf images by extracting texture and statistical features by utilizing the presence of striking features on the dorsal and ventral sides of the leaves, which on other types of objects may not be that prominent. The texture features have been extracted from dorsal, ventral and a combination of dorsal-ventral sides of leaf images using Gray level co-occurrence matrix. In addition to this, this work also uses certain general statistical features for discriminating them into various classes. The feature selection work has been performed separately for the dorsal, ventral and combined data sets (for both texture and statistical features) using the most common feature selection algorithms. After selecting the relevant features, the classification has been done using the classification algorithms: K-Nearest Neighbor, J48, Naive Bayes, Partial Least Square (PLS), Classification and Regression Tree (CART), Classification Tree(CT). The classification accuracy has been calculated and compared to find which side of the leaf image (dorsal or ventral) gives better results with which type of features(texture or statistical). This study reveals that the ventral leaf features can be another alternative in discriminating the leaf images into various classes.

Highlights

The plants play an integral role in the ecological balance by providing shelter, improving the atmosphere, providing medicinal values etc
Such studies are essential for the ecological balance as some of the plants are on the verge of the extinction
The characteristics features of a digital image are texture, shape, color and size

Summary

Introduction

The plants play an integral role in the ecological balance by providing shelter, improving the atmosphere, providing medicinal values etc. Several attempts have been made to classify the plants on the basis of flowers, arrangement of leaves on the plants, shapes, color and texture, to name a few. Such studies are essential for the ecological balance as some of the plants are on the verge of the extinction. The characteristics features of a digital image are texture, shape, color and size. The texture based properties of digital images have been used in medical images [3] and in tomography based images [4], analysis of ultrasound images [5] and classification of food items like Italian pasta and plum cakes [6,7]

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