Analisis Perbandingan Pengolahan Citra Asli Dan Hasil Croping Untuk Identifikasi Telur

Shoffan Saifullah, Sunardi -, Anton Yudhana

Abstract


Thermal imaging camera and smartphone camera are the impacts of rapid technological development. This research uses two tools to take pictures of chicken eggs. Images of chicken eggs from the two tools are used to identify of size, determination of object and analysis of image cropping from the samples have used. Process analysis using Matlab prototype for image processing began with histogram, converting the image to grayscale or black white, then the process is carried region props, centroid and the bounding box and labeling. Process analysis using Matlab prototype for image processing began with histogram, converting the image to grayscale or black white, then the process is carried region props, centroid, bounding box and labeling. The process of identification egg objects with region props and labeling can be successfully performed with a 100 % success rate. Images of each sample were conducted to provide data that the cropping process gives the area to the smaller / less identifiable objects provide little value and uniform for any number of the same object. The identification process on the image of the chicken egg thermal cameras and smartphone cameras give equal areas. However, each data cropping of the process is done, the image from the thermal cameras and smartphone cameras give different values. So the cropping process provides the difference in the identification process of chicken eggs. The difference of the image processing of thermal cameras and smartphone cameras lies in the preprocessing of images of thermal cameras needed to complement and process images from the camera smartphone needs to process with the opening before to do the region props and labeling process getting the object is identified.


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References


Tridinews, Penjelasan Fungsi dan Kegunaan dari Thermography, http://www.news.tridinamika.com, post 14 March 2014

Kamus Besar Bahasa Indonesia Online. http://kbbi.web.id.

Subiyanto, I., Seri Diktat Kuliah “Metodologi Penelitian”. Gunadarma. 1993.

http://www.infratama.co.id/

Trisnaningtyas, Puspa Rizky. Maimunah, Klasifikasi Mutu Telur Berdasarkan Kebersihan Kerabang Telur Menggunakan K-Nearest Neighbor, Konferensi Nasional Informatika (KNIF), (2015).

Wijaya, Tria Adhi, Yudi, Prayudi, Implementasi Visi Komputer Dan Segmentasi Citra Untuk Klasifikasi Bobot Telur Ayam Ras, Seminar Nasional Aplikasi Teknologi Informasi 2010, G1-G5, ISSN: 1907-5022, (2010).

Khabibulloh, M. Arif, Kusumawardhani, Apriani, Pratama, Detak Yan, Rancang Bangun Sistem Deteksi Embrio pada Telur Menggunakan Webcame, Jurnal Teknik Pomits, Vol. 1, No. 1, 1-6 (2012).

Ruslianto, Ikhwan, Klasifikasi Telur Ayam Dan Telur Burung Puyuh Menggunakan Metode Connected Component Analysis, Jurnal Ilmiah SISFOTENIKA, Vol. 3, No. 1, 41-50, (2013).

Utami, Yustina Retno Arum, Pengenalan Telur Berdasarkan Karakteristik Warna Citra, Jurnal Ilmiah SINUS, Vol. 7, No.2, 1-14, ISSN: 1693-1173, (2009).

Nurhayati, Oky Dwi, Sistem Analisis Tekstur Secara Statistik Orde Pertama Untuk Mengenali Jenis Telur Ayam Biasa dan Telur Ayam Omega-3, Jurnal Sistem Komputer, Vol. 5, No. 2, 79-82. ISSN: 2087-4685, e-ISSN: 2252-3456, (2015).

Liu Hai-ling, Cai Jian-rong, Sun Li, Yuan Lei-ming, & Liu Meng-lei, Research on the Discrimination of Hatching Eggs Activity Based on Thermal Imaging: A Food Nondestructive Testing Practice, International Journal of Smart Home. Vol. 10, No. 2, 175-186, (2016).

L. Liu, M. O. Ngadi, Detecting Fertility and Early Embryo Development of Chicken Eggs Using Near-Infrared Hyperspectral Imaging, Springer, Food Bioprocess Technol (2013) 6:2503-2513, (2012).

Chern-Sheng Lin, Po Ting Yeh, Der-Chin Chen, Yih-Chih Chiou, Chi-Hung Lee, The Identification and Filtering of Fertilized Eggs with a Thermal Imaging System, Computers and Electronics in Agriculture 91 (2013), 94–105, (2012).

Andono, Pulung Nurtantio, Konsep Pengolahan Citra Digital, Ed. 1. Yogyakarta: Andi, (2015).

Kanungo, Tapas., Netanyahu, Nathan S., Wu, Angela Y, An Efficient k-Means Clustering Algorithm: Analysis and Implementation, IEEE Transactions On Pattern Analysis And Machine Intelligence, Vol. 24, No. 7, 881-892, (2002).

Ahmad, U., Pengolahan Citra Digital & Teknik Pemrogramannya, ed. 1, Yogyakarta: Graha Ilmu, 2005.

http://www.metodealgoritma.com/2015/07/metode-penyetaraan-histogram.html

Pramana, C.J., Implementasi Metode Thresholding dan Metode Regionprops untuk Mendeteksi Marka Jalan Secara Live Video, Jurnal Universitas Dian Nuswantoro Semarang, 2014.

Sunardi, Yudhana, A., Saifullah, S., Thermal Imaging Untuk Identifikasi Telur, Prosiding Konferensi Nasional Ke-4, Asosiasi Program Pascasarjana Perguruan Tinggi Muhammadiyah (APPPTM), hlm. 152-157.




DOI: http://dx.doi.org/10.28932/jutisi.v2i3.512

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