Exudate and Blood Vessel Feature Extraction in Diabetic Retinopathy Patients using Morphology Operation

Wardoyo, Siswo; Pramudyo, Anggoro Suryo; Rizanti, Erika Diana; Muttakin, Imamul

doi:10.12928/telkomnika.v14i4.3714

Cited by 8 publications

(10 citation statements)

References 15 publications

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“…An image processing computer program was developed using OpenCV on a Windows platform to analyze the captured images. Feature extraction is an important process in the classification [14,15], but we have to do some pre-processing to facilitate it. The pre-processing applied to the captured images were binarization and binary opening and closing operations to remove noises, and masking of the color image with the result of binary image with eliminated background.…”

Section: Methodsmentioning

confidence: 99%

Color Distribution Analysis for Ripeness Prediction of Golden Apollo Melon

2018

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Human visual perception on color of melon fruit for ripeness judgement is a complex phenomenon that depends on many factors, making the judgement is often inaccurate and inconsistent. The objective of this study is to develop an image processing algorithm that can be used for distinguishing ripe melons from unripe ones based on their skin color. The image processing algorithm could then be used as a pre-harvest tool to facilitate farmers with enough information for making decisions about whether or not the melon is ready to harvest. Four sample groups of Golden Apollo melon were harvested at four different age, with 55 fruits in each group. Using the color distribution as results of the image analysis, the first two groups of the samples can be separated from other groups with minimal overlap, but they cannot be separated in the other two groups. The color image analysis of the melons in combination with discriminant analysis could be used to distiguish between harvesting age groups with an average accuracy of 86%.

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Section: Methodsmentioning

confidence: 99%

Color Distribution Analysis for Ripeness Prediction of Golden Apollo Melon

2018

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“…A Feature extraction methods used in this research is the Fast Fourier Transform [5]. The next step in the process of feature extraction is the process of normalization of data from the Fourier transformation, normalization results are then sampled to accelerate computing process.…”

Section: If X < 128 Then X = 0 If Not Then X =mentioning

confidence: 99%

“…In another research about Javanese character recognation using backpropagation neural network explored in [4]. Publication [5] showed a technique based on Fast Fourier Transform (FFT) basic principle can feature extraction pattern of characters using decomposition calculation of Discret Fourier Transform. The basic task of feature selection and extraction is how to find out the most important characteristics from many features [6].…”

Section: Introductionmentioning

confidence: 99%

“…The main problem of Java script less popular in student is difficulty used a digital media in classroom. According publication [4], [5] and [9], the colaboration FFT with ANN can build a digital media for teaching materials in classroom. So in this research to build digital media for identify the pattern of basic Java script by fourier transform and artificial neural network (ANN).…”

Section: Introductionmentioning

confidence: 99%

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The Development of Javanese Language Teaching Materials Through Introduction of Java Scripts Using Artificial Neural Network

et al. 2018

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The Java script is a traditional Indonesian scripts known as Hanacaraka or Carakan. Java script becomes less desirable students who have not been introduced by Master to students using interesting digital media. Javanese language teachers in teaching activities do not yet have interactive learning media in making Java script. This research aims to develop digital media recognition Java script using artificial neural network back propagation method as a teaching material of Java language. The sample of research used is basic java script which consist of 20 characters. The method of extraction properties used is Fast Fourier Transform, which is sampled horizontally and vertically. The result of this research showed FFT and ANN can be made of interactive learning media. The effectiveness of system with sensitivity value of 0,046 -0,085, specification value 0,023 -0,052, and system reliability is 59,5%. Validation value system that has been built for pattern recognition Java script on the training process is 100%, the testing process with the data -3 o rotation, -1 o , +1 o , +3 o reaches 100%, for a rotation -5 o testing data, and +5° is 80%, testing of handwritten data is 65%, the test data +10 o rotation is 25%, the test with the data translation is 5%, and for testing with the data and the data of rotation +90° zoom in (view) is 0%.

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“…Study about medical image processing have been conducted widely [1,2]. It is expected can help health worker in diagnosing a disease in remote area, reducing misdiagnosis, and quickening disease identification process.…”

Section: Introductionmentioning

confidence: 99%

Inflammatory Cell Extraction in Pap smear Images: A Combination of Distance Criterion and Image Transformation Approach

2018

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In order to obtain a diagnosis of cervical cancer information, the characteristics of each cell nucleus must be identified and evaluated properly through a Pap smear test. The presence of inflammatory cells in Pap smear images can complicate the process of identification of cell nuclei in the early detection of cervical cancer. Inflammatory cells need to be eliminated to assist pathologists in reading Pap smear slides. In this work, we developed a novel method to extract the inflammatory cells that allow detection of cell nuclei more accuracy. The proposed algorithm consists of two stages: extraction of inflammatory cells using the distance criterion and image transformation. This experiment applied to the 1358 cells comprising 378 nuclei cells and 980 inflammatory cells from 25 Pap smear images. The results showed that our method can significantly reduce the amount of inflammation that can disrupt the cell nuclei in the detection process. The proposed method has promising results with a sensitivity level of 97% and a specificity of 84.38%.

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Exudate and Blood Vessel Feature Extraction in Diabetic Retinopathy Patients using Morphology Operation

Abstract: Abstract

Cited by 8 publications

References 15 publications

Color Distribution Analysis for Ripeness Prediction of Golden Apollo Melon

Color Distribution Analysis for Ripeness Prediction of Golden Apollo Melon

The Development of Javanese Language Teaching Materials Through Introduction of Java Scripts Using Artificial Neural Network

Inflammatory Cell Extraction in Pap smear Images: A Combination of Distance Criterion and Image Transformation Approach

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