Non-destructive egg fertility detection in incubation using SVM classifier based on GLCM parameters
S Saifullah, R Dreżewski - Procedia Computer Science, 2022 - Elsevier
The research presented in this paper aims at egg fertility detection during incubation based
on the presence of the embryo. To obtain an optimal detection method that does not …
on the presence of the embryo. To obtain an optimal detection method that does not …
Analisis Perbandingan He Dan Clahe Pada Image Enhancement Dalam Proses Segmenasi Citra Untuk Deteksi Fertilitas Telur
S Saifullah - Jurnal Nasional Pendidikan Teknik Informatika …, 2020 - ejournal.undiksha.ac.id
Perkembangan teknologi di bidang peternakan mampu memberikan kemudahan dalam
proses penetasan ayam. Namun, proses deteksi fertilitas telur telah diperiksa secara …
proses penetasan ayam. Namun, proses deteksi fertilitas telur telah diperiksa secara …
Segmentation for embryonated egg images detection using the K-means algorithm in image processing
S Saifullah - 2020 Fifth International Conference on Informatics …, 2020 - ieeexplore.ieee.org
Image segmentation is often used in the process of detecting separated objects. In this
study, the application of image segmentation in the detection of egg fertility. The fertility of …
study, the application of image segmentation in the detection of egg fertility. The fertility of …
Segmentasi Citra Menggunakan Metode Watershed Transform Berdasarkan Image Enhancement Dalam Mendeteksi Embrio Telur
S Saifullah - arXiv preprint arXiv:2102.04202, 2021 - arxiv.org
Image processing can be applied in the detection of egg embryos. The egg embryos
detection is processed using a segmentation process. The segmentation divides the image …
detection is processed using a segmentation process. The segmentation divides the image …
Thresholding and hybrid CLAHE-HE for chicken egg embryo segmentation
S Saifullah, AP Suryotomo - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
This study aims to detect the presence of chicken egg embryos using digital image
processing. The detection of chicken egg embryos was processed by image segmentation …
processing. The detection of chicken egg embryos was processed by image segmentation …
Chicken Egg Detection Based-on Image Processing Concept: A Review
S Saifullah, RI Mehriddinovich… - Computing and …, 2021 - jurnal.upnyk.ac.id
The concept of image processing has been implemented and developed in various fields,
including the poultry industry. The focus in development is on egg detection. Detection is not …
including the poultry industry. The focus in development is on egg detection. Detection is not …
Chicken egg fertility identification using FOS and BP-neural networks on image processing
S Saifullah, AP Suryotomo - Jurnal RESTI (Rekayasa Sistem dan …, 2021 - jurnal.iaii.or.id
This article aims to test FOS (first-order statistical) in extracting features of embryonated
eggs. This test uses the initial step of image processing to get the best input image in feature …
eggs. This test uses the initial step of image processing to get the best input image in feature …
[PDF][PDF] K-means Segmentation Based-on Lab Color Space for Embryo Egg Detection
S Saifullah - arXiv Prepr. arXiv2103, 2021 - academia.edu
The hatching process also influences the success of hatching eggs beside the initial egg
factor. So that the results have a large percentage of hatching, it is necessary to check the …
factor. So that the results have a large percentage of hatching, it is necessary to check the …
Identification of White Blood Cells Using Machine Learning Classification Based on Feature Extraction
AS Musliman, A Fadlil, A Yudhana - Jurnal Online Informatika, 2021 - join.if.uinsgd.ac.id
In various disease diagnoses, one of the parameters is white blood cells, consisting of
eosinophils, basophils, neutrophils, lymphocytes, and monocytes. Manual identification …
eosinophils, basophils, neutrophils, lymphocytes, and monocytes. Manual identification …
Fish detection using morphological approach based-on K-means segmentation
Image segmentation is a concept that is often used for object detection. This detection has
difficulty detecting objects with backgrounds that have many colors and even have a color …
difficulty detecting objects with backgrounds that have many colors and even have a color …