MEDICINAL PLANT SPECIES IDENTIFICATION SYSTEM USING TEXTURE ANALYSIS AND MEDIAN FILTER

Arie Qurania,Prihastuti Harsani

doi:10.28961/kursor.v8i4.112

Abstract

Identification of plants can be done through objects - objects in plants by asking an expert or through a specimen (herbarium) that have been identified previously. Identification is done by matching the pictures in the book of flora or monograph. Computer-aided identification can be done using digital image processing methods which utilize digital image matching object plant with a picture on the book. Identification key that is used is the image of the leaves. This study develops previous research has identified using the method of fractal and Euclidian Distance. Accuracy obtained in each of the identification system for the fractal dimension and fractal code is of 68% and 51%. Improved accuracy is the main objective of this study. The proposed method is a method of texture analysis and median filter. Texture analysis is used as feature extraction technique while the median filter is image enhancement techniques. Based on the trials, the results of the identification of texture analysis method and median filter to increase to 78%. Median filter is used as a technique to improve the image quality leaves. The use of an identification system to be tested in the web application of information systems of medicinal plants.

Highlights

Identification system is a mathematical representation of the modeling process of an object based on the experimental data
Identification of the medicinal plants through plant leaves image object identification is a stage of early identification of a plant species
Identification through identifier forms has been carried out using the method of fractal and produce two grades of accuracy for fractal dimension and code that is respectively 68% and 51% [4]

Summary

INTRODUCTION

Identification system is a mathematical representation of the modeling process of an object based on the experimental data. Method of digital image do the matching digital data objects plant database with input data This method will extract the main characteristic feature of the image to be a factor. Statistical methods using statistical calculations degrees of gray distribution (histogram) by measuring the level of contrast, granularity, and the roughness of a region of adjacency relationship between pixels in the image These statistical paradigm use is not limited, so it is suitable for natural textures unstructured of sub patterns and the set of rules (microstructure). One technique to obtain the characteristics of statistics is to calculate the probability of adjacency relationship between two pixels at a certain distance and angular orientation This approach works by forming a matrix cooccurrence of the image data, followed by determining the characteristics as a function of the temporary matrix [5].

MATERIAL AND METHODS

AND DISCUSSION

Findings

CONCLUSION