Path: Top -> Journal -> Kursor -> 2016 -> Vol. 8 No. 4

MEDICINAL PLANT SPECIES IDENTIFICATION SYSTEM USING TEXTURE ANALYSIS AND MEDIAN FILTER

Journal from gdlhub / 2018-06-02 10:20:57
Oleh : Prihastuti Harsani, Arie Qurania, Triastinurmiatiningsih, Kursor
Dibuat : 2018-06-02, dengan 1 file

Keyword : identification, medicinal plant, image processing, fractal, texture analysis, median filter
Url : http://kursorjournal.org/index.php/kursor/article/view/112
Sumber pengambilan dokumen : WEB

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.

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PropertiNilai Properti
ID Publishergdlhub
OrganisasiKursor
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
Telepon0741-35095
Fax0741-35093
E-mail Administratorelibrarystikom@gmail.com
E-mail CKOelibrarystikom@gmail.com

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