Lokal Fuzzy Thresholding Berdasarkan Pengukuran Fuzzy Similarity Pada Interaktif Segmentasi Citra Panoramik Gigi

Gunawan, Wawan; Arifin, Agus Zainal

doi:10.20895/infotel.v9i1.162

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…Therefore, it would be unrealistic and not appropriate to get a decision. The literature in the field of decision making in the past 15 years suggests to use fuzzy theory approach to overcome the uncertainty [10] [20].…”

Section: Fuzzy -Analytic Hierarchy Process (Fahp)mentioning

confidence: 99%

Risk Factor Assessment of Software Usability Using Fuzzy-Analytic Hierarchy Process Method

Kartika

Umaroh

2018

INFOTEL

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Software adds significant value to a wide range of products and services. Thus, in the process of software development, maintaining the quality of the software is an important aspect that the developer must do. In several software quality models, usability is stated as one of significant factor that gives impact to software performance. The existence of problems in usability lead to less useful of the software. This research was conducted to assess software usability risk factors which derived from the attributes and sub-attributes of usability, that affecting the quality of the software negatively. The importance of risk factors assessed by using fuzzy-Analytic Hierarchy Process. This risk assessment on software usability made it possible to process the evaluation of the respondents defined by linguistic format, in which information can be processed from insufficient data, subjective, inaccurate or vague. As result, this assessment showed dominant factors which were considered as the source of the usability software risk.

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Section: Fuzzy -Analytic Hierarchy Process (Fahp)mentioning

confidence: 99%

Risk Factor Assessment of Software Usability Using Fuzzy-Analytic Hierarchy Process Method

Kartika

Umaroh

2018

INFOTEL

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“…Teknik ini melibatkan pemilihan nilai batas tertentu yang memisahkan antara piksel yang mengandung informasi teks dan piksel yang tergolong sebagai noise. Meskipun teknik ini sederhana, Metode global Thresholding merupakan teknik fundamental dalam mengoptimalkan pemisahan objek dan background dalam segmentasi citra [27]. Ini melibatkan identifikasi nilai ambang batas yang membedakan antara piksel objek dan latar belakang, sehingga membantu dalam proses segmentasi.…”

Section: Introductionunclassified

Global Thresholding Implementation for Noise Handling in Digital Image Recognition

Purwanto,

Agustiyar

2024

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Text recognition (OCR -Optical Character Recognition) is a research field that is gaining widespread attention due to its wide application in image and document processing. Although OCR technology has achieved a high level of success, the main challenge faced is the presence of noise in text image, noise causes decreased text recognition results, noise causes miss classification. Therefore needed noise handling text recognition. The aim of this research is to provide valuable insight into the techniques and approaches used in the context of noise treatment using global threshold methods. The method used starts from an input digital image, then preprocessing is carried out by converting the image into a gray scale image, then a threshold is applied to the image, then recognition is carried out. From 6 experiments, the best results were obtained for character recognition with a threshold value (t) of 65 and a character recognition accuracy percentage of 94.29%. T value determined manually and static for separates the all object and the background, while in reality the lighting or contrast always varies. Suggestions for further research include developing an adaptive thresholding method approach to obtain threshold values automatically and optimally. So that if faced with varying lighting conditions or contrast, better results can be obtained.

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Fuzzy Features for Facial Shape Classification on Panoramic Dental Image

Nafi’iyah

Fatichah

2019

J. Phys.: Conf. Ser.

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Research on human face shape identification can assist forensic teams in reconstructing an unidentified victim’s facial features. Human face shape identification using panoramic dental imaging is suitable for use by forensic teams in identifying a large number of victims due to the teeth’s ability to withstand heat of up to 1,000°C. This study proposes an application for face shapes classification on panoramic dental image using fuzzy features and decision tree method. It will be used to assist forensic scientists in reconstructing unidentified people identifying numerous victims from their facial features. There are three classifications of human face shapes, namely oval, tapered, and square. The steps in this study are digitizing panoramic dental images into files; segmenting the upper jaw’s incisor teeth; then extracting the features by area, parameter, width, length, width-to-length ratio, area-to-parameter ratio, center_x and center_y. Fuzzy theory is used to convert numeric features into category features, while decision tree method will be used for training features. The experimental results show that the proposed method obtain accuracy 67% of 42 panoramic dental image.

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Lokal Fuzzy Thresholding Berdasarkan Pengukuran Fuzzy Similarity Pada Interaktif Segmentasi Citra Panoramik Gigi

Cited by 4 publications

References 18 publications

Risk Factor Assessment of Software Usability Using Fuzzy-Analytic Hierarchy Process Method

Risk Factor Assessment of Software Usability Using Fuzzy-Analytic Hierarchy Process Method

Global Thresholding Implementation for Noise Handling in Digital Image Recognition

Fuzzy Features for Facial Shape Classification on Panoramic Dental Image

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