ANALISA METODE GABOR DAN PROPBABILISTIC NEURAL NETWORK UNTUK KLASIFIKASI CITRA (STUDI KASUS: CITRA DAGING SAPI DAN BABI)
DOI:
https://doi.org/10.24014/sitekin.v14i2.3707Abstract
Research for image classification can be utilized by Muslims to recognize the image of halal or haram meat. In this study, Gabor method analysis for image classification, especially distinguishing the image of beef and pork as an example of halal and unlawful meat. The image of the beef, the image of pork and the image of the beef and pork mixed. The image was obtained from several markets in Pekanbaru. The number of beef was 200 images, 100 images of pork and 50 images of both mixed. The system was built using PHP-based web programming language that can be accessed by the public. This meat image classification system produces an image output known as beef or pork. For the image of beef and pork mixed expected to be recognized as pork. But from the experiments that use 30% of the total image as the test data obtained the result that the accuracy of image classification reached 57.14%. And for image mixed obtain 46.67% recognized as pork. This is because the image of beef and pork is very similar when viewed from the texture only. This research can still be enhanced by adding other characters feature extraction methods.References
Abdullah Iqbal a, Nektarios A. Valous a,
Fernando Mendoza a, Da-Wen Sun a, Paul Allen
b. 2010. Classification of pre-sliced pork and
Turkey ham qualities based on imagecolour and
textural features and their relationships with
consumer responses. Meat Science84: p 455–
Ahmad Farid Hartono, Dwijanto, Zaenal Abidin.
Implementasi Jaringan Syaraf Tiruan
Backpropagation Sebagai Sistem Pengenalan
Citra Daging Babi dan Citra Daging
Sapi.Dipublikasikan pada UNNES Journal of
Mathematics.
Amit David, Boaz Lerner. Support vector
machine-based image classification for genetic
syndrome diagnosis. Pattern Recognition Letters
: p 1029–1038. 2005.
Amjad Ali, Xiaojun Jing, Nasir Salee. GLCM-
Based Fingerprint Recognition Algorithm.
Proceedings of IEEE IC-BNMT 2011.
Chien-Shun Lo a, Chuin-Mu Wang.Support
vector machine for breast MR image
classification. Computers and Mathematics with
Applications 64:p 1153–1162. 2012.
Departemen Agama Republik Indonesia. 2005.
Al-Qur’an Terjemahan. Jakarta. PT. Syamil
Cipta Media.
Ella, L.P Abeigne. Bergh, F.Van den. Wyk,B.J.
van. A Comparison of texture feature algorithms
for urban settlemens classification. IEEE.2008.
Gang Liu, Robert Wang, Yunkai Deng, Runpu
Chen, Yunfeng Shao, and Zhihui Yuan. A new
quality Map for 2 D Phase Unwrapping Based
on Gray Level Co-Occurrence Matrix. IEEE
Geoscience and Remote Sensing Letters, Vol.
, No. 2, 2014.
Huang, H. Non-Destructivr Detection of Pork
Instramuscular Fat content using Hyperspectral
imageing. McGill University, Canada. 2014.
Huang, Hui., Liu, Li., Ngadi, M.O., Gariepy, C.,
and Prasher, S.O. 2014. “Near-Infrared Spectral
Image Analysis of Pork Marbling Based on
Gabor Filter and Wide Line Detector
Techniques”. Applied Spectroscopy, Vol 68,
Issue 3, pp 332-339.
Jinming Wang, Geng Wang. Speaker
Recognition Based on Probabilistic
NeuralNetwork. 4th International Congress on
Image and Signal Processing, p 2441-2444.
Jun Wang, Lijun Yin . 2007. "Static topographic
modeling for facial expression recognition and
analysis‖Computer Vision and Image
Understanding.
Kadir, Abdul, dan S. Adhi. 2012 Pengolahan
Citra Teori dan Aplikasi. Yogyakarta: Andi.
Kiswanto. 2012. Identifikasi Citra untuk
Mengidentifikasi Jenis Daging Sapi Dengan
Menggunakan Transformasi Wavelet Haar.
Tesis Magister Sistem Informasi Universitas
Diponegoro Semarang.
Linyi Li. Feature Selection for Residential Area
Recognition in High Resolution Images Based
on Particle Swarm Optimization.Remote
Sensing, Environment and Transportation
Engineering (RSETE) 2011 International
Conference on IEEE, p 357-360.2011.
Malin Björnsdotter & Johan
Wessberg.Identification and Localization of
Human Brain Activity Patterns Using.Computer
and Automation Engineering (ICCAE), 2010
The 2nd International Conference on vol 5: p
– 636. 2010.
Mirzapour, Fardin. Ghassemian, Hassan. Using
GLCM and Gabor Filters for Classification of
PAN Images. IEEE, 2013.
Nektarios A. Valous, Fernando Mendoza,
DaWen Sun, Paul Allen.Texture appearance
characterization of pre-sliced pork ham images
using fractal metrics: Fourier analysis dimension
and lacunarity. Food Research International 42
(2009) 353–362. 2009
NI Qiakai, GUO Chao, YANG Jing.Research of
Face Image Recognition Based on Probabilistic
Neural Networks. Control and Decision
Conference (CCDC), 201224th Chinese,
Page(s): 3885 – 3888. 2012.
Suman K. Mitra a,Te-Won Lee b, Michael
Goldbaum.A Bayesian network based sequential
inferencefor diagnosis of diseases from retinal
images. Pattern Recognition Letters 26:p 459–
2005.
T.Ojala, M.Piatik”ainen, T.M”aenp”a” a.
Multiresolution gery-scale androtation invariant
texture classification with local binary pattern.
IEEE Transactions on Pattern Analysis and
Machine Learning Intelligence 24: p 7971-7987,
Toni Wijanarko Adi Putra. Pengenalan Wajah
dengan Matriks Kookurensi Aras Keabuan dan
Jaringan Syaraf Tiruan Probabilisik. Tesis
Magister Sistem Informasi Universitas
Diponegoro, Semarang. 2009.
Wang H, Li G, Ma Z, Li X. 2012. Application of
neural networks to image recognition of plant
diseases. In Proceedings of the 2012
International Conference on Systems and
Informatics (ICSAI), IEEE, Yantai, 2159- 2164.
DOI: 10.1109/ICSAI.2012.6223479.
Wang Zhi-Zhong and Jun-Hai Yong. Texture
Analysis and Classification with Linear
Regression Model Based on Wavelet Transform.
IEEE Transactions on Image Processing, Vol.
, No.8, August 2008.
William Klementa,b, Szymon Wilkb,c, Wojtek
Michalowskib, Ken J. Farionb,d,e, Martin H.
Osmondd,e,Vedat Verterf. Predicting the need
for CT imaging in children with minor head
injury using anensemble of Naive Bayes
classifiers.Artificial Intelligence in Medicine 54:
p 163–170. 2012.
Yang Bo, Chen Song Can. A Comparative study
on local binary pattern based face recognition:
LBP histogram, versus LBP image.
Neurocomputing 120:p365-379, 2013.
Yong-jun LIU, Cui-jian Zhao, Su-jing Sun.
Image Texture Recognition Method Research
based on Wavelet Technology, 2011.
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