Neural Network Application on Foliage Plant Identification

Abstract

Several researches in leaf identification did not include color information as features. The main reason is caused by a fact that they used green colored leaves as samples. However, for foliage plants-plants with colorful leaves, fancy patterns in their leaves, and interesting plants with unique shape-color and also texture could not be neglected. For example, Epipremnum pinnatum 'Aureum' and Epipremnum pinnatum 'Marble Queen' have similar patterns, same shape, but different colors. Combination of shape, color, texture features, and other attribute contained on the leaf is very useful in leaf identification. In this research, Polar Fourier Transform and three kinds of geometric features were used to represent shape features, color moments that consist of mean, standard deviation, skewness were used to represent color features, texture features are extracted from GLCMs, and vein features were added to improve performance of the identification system. The identification system uses Probabilistic Neural Network (PNN) as a classifier. The result shows that the system gives average accuracy of 93.0833% for 60 kinds of foliage plants.

Zernike Moments and Genetic Algorithm: Tutorial and Application

“…• Irregularity: This is the ratio between the radius of the maximum circle encompassing the region and the minimum circle that can be contained in the region ( [16,17]) . It is given as…”

Adopting Hybrid Descriptors to Recognise Leaf Images for Automatic Plant Specie Identification

“…With the success, the approach has become one of the most important and powerful tools in image processing. Kadir et al [17] used Polar Fourier Transform and three different kinds of geometric features to represent shapes. They also adopted statistical methods such as mean, standard deviation, and skewness to represent colour features and extracted texture features from GLCMs, and creatively added vein features into leaf identification in order to improve performance.…”

A survey of computer-based vision systems for automatic identification of plant species

“…It is the ratio between area of the leaf and the square of its perimeter (Russ, 2011) 2 p a 7 Irregularity This is the ratio between the radius of the maximum circle encompassing the region and the minimum circle that can be contained in the region (Kadir, 2011 and Nixon, 2002) 8 Solidity This is defined as the ratio between the area of the leaf and the area of its convex hull (Russ, 2011) Area ConvexHull…”

“…The work of Kadir (2011) involved the use of the Polar Fourier Transform (PFT) and three geometric features to represent shapes of leaves. Color moments consisting of the mean, standard deviation, and skewness were computed to represent color features.…”