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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika
Abdul Hafidz
STIKOM Cipta Karya Informatika
Computer Science & IT

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Identification of Buni Fruit Image Using Euclidean Distance Method Abdul Hafidz; Dadang Iskandar Mulyana; Dyan Bagus Sumantri; Kurniawan Setyo Nugroho
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2022): Articles Research Volume 7 Issue 2, April 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i2.11333

Abstract

Identification is an important part of image analysis because in this procedure the desired image/image will be analyzed for further processing to make it easier to analyze for further purposes, for example in image identification pattern recognition which is part of image analysis used to divide an image into several parts and take some of the desired objects. This study aims to identify buni fruit with Euclidean distance and extract shape and texture features. Extraction of shape features using boundary metrics and whimsy. This boundary is considered to be able to recognize objects based on their shape and can distinguish them from other objects. For identification expositions, Euclidean distance is used which serves to represent the level of similarity of two images that take into account the distance value of the Euclidean distance. From the results of the evaluation using a disarray network by calculating precision, review, and accuracy, in order to identify the image of the buni fruit object properly.
Co-Authors Dadang Iskandar Mulyana` Dyan Bagus Sumantri Kurniawan Setyo Nugroho