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Analysing and processing medical images with increased performance using fractal geometry

Maha Abdulameer Kadhim

The research relied on the application of a series of steps to analyze medical images, and to basically achieve this goal, a set of techniques were made from both fractal engineering and tissue analysis by improving the studied image and then analyzing th... see more

Periodicals of Engineering and Natural Sciences (PEN) , 2022

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Classification of Batu Bara Songket Using Gray-Level Co-Occurrence Matrix and Support Vector Machine

Sriani Sriani, Muhammad Siddik Hasibuan, Rizkika Ananda

Songket is a traditional woven cloth from the Malay and Minangkabau tribes. Songket can also be classified from the brocade woven family and woven with gold or silver thread. Songket cloth's beauty is the Indonesian people's wealth and preservation. Batu ... see more

Classification | Batu Bara Songket Motif | Gray Level Co-Occurrence Matrix (GLCM) | Support Vector Machine (SVM)

Jurnal Riset Informatika , 2022

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Brain Tumor Classification Using Gray Level Co-occurrence Matrix and Convolutional Neural Network

Wijang Widhiarso,Yohannes Yohannes,Cendy Prakarsah

Image are objects that have many information. Gray Level Co-occurrence Matrix is one of many ways to extract information from image objects. Wherein, the extracted informations can be processed again using different methods, Gray Level Co-occurrence Matri... see more

IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) , 2018

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Non-invasive Glaucoma Screening Using Ocular Thermal Image Classification

Padmapriya Nammalwar,Venkateswaran Narasimhan,Toshitha Kannan,SindhuMadhuri Morapakala

Ocular thermography is an important, emerging modality in the diagnosis and management of diseases related to eye. It is a non-invasive procedure to evaluate the presence of eye diseases and monitor the response to treatments. In this paper, we propose an... see more

thermal imaging | glaucoma | support vector machine | temperature mapping | gray level co-occurrence matrices

Journal of Computing and Information Technology , 2017

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KLASIFIKASI KESEGARAN DAGING SAPI MENGGUNAKAN METODE GRAY LEVEL COOCCURRENCE MATRIX DAN DNN

Mohammad Faisal Riftiarrasyid, Dimas Arif Setyawan, Hendra Maulana

Daging sapi merupakan sumber konsumsi makanan yang diperoleh dari sapi. Seiring meningkatnya harga daging sapi di Indonesia ada beberapa oknum penjual daging sapi yang menginginkan keuntungan yang besar dengan mencampur daging sapi segar dengan daging yan... see more

Deep Neural Network | Gray Level Co-Occurrence Matrix | Beef | Classification | Beef Freshness

Jurnal Ilmiah Teknologi Informasi dan Robotika , 2021

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Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine

Dian C. Rini Novitasari

Based on the Alzheimer's Charter, 2-3 million cases of dementia by Alzheimer's disease occur every year. People with Alzheimer's disease experience memory and cognitive disorders progressively for 3 to 9 years. Patients experience confusion in understandi... see more

Alzheimer | Fuzzy C-Means | Gray Level Co-ocurrence Matrix | Support Vector Machine

Jurnal Matematika MANTIK , 2018

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Klasifikasi Alzheimer dan Non Alzheimer Menggunakan Fuzzy C-Mean, Gray Level Co-Occurence Matrix dan Support Vector Machine

Dian C. Rini Novitasari

Alzheimer | Fuzzy C-Means | Gray Level Co-ocurrence Matrix | Support Vector Machine

Mantik: Jurnal Matematika , 2066

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Identification of the freshness level of Tuna based on Discrete Cosine Transform on Feature Extraction of Gray Level Co-Occurrence Matrix using K-Nearest Neighbor Zulfrianto Yusrin Lamasigi(1); Serwin Serwin(2); Yusrianto Malago(3) (1) Universitas Ichsan Gorontalo (2) Universitas Ichsan Gorontalo (3) Universitas Ichsan Gorontalo () Corresponding Author

Gorontalo Province is one of the provinces that have fishery potential and has a large sea area that can be managed to support the economy and development of the province. Gorontalo is also one of the tuna-producing provinces in Indonesia, where tuna is a... see more

ILKOM Jurnal Ilmiah , 2023

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Classification of Coffee Bean Defects Using Gray-Level Co-Occurrence Matrix and K-Nearest Neighbor Mila Jumarlis(1); Mirfan Mirfan(2); Abdul Rachman Manga(3) (1) STAIN Majene (2) STMIK Handayani (3) Univeristas Muslim Indonesia () Corresponding Author

Defects in coffee beans can significantly affect the quality of coffee production so that defects in coffee beans can cause a decreasing the level of coffee production. The purpose of this study is to implement the GLCM (gray-level co-occurrence matrix) a... see more

Coffee beans | Digital Image | GLCM | Classification | K-NN

ILKOM Jurnal Ilmiah , 2022

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