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Andiko Putro Suryotomo
Jurusan Informatika, Universitas Pembangunan Nasional Veteran Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Public Health

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Journal : Compiler

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Fish detection using morphological approach based on K means segmentation Shoffan Saifullah; Andiko Putro Suryotomo; Bambang Yuwono
Compiler Vol 10, No 1 (2021): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1221.396 KB) | DOI: 10.28989/compiler.v10i1.946

Abstract

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 similar to the object being detected. This study aims to detect fish using segmentation, namely segmenting fish images using k-means clustering. The segmentation process is processed by improving the image first. The initial process is preprocessing to improve the image. Preprocessing is done twice, before segmentation using k-means and after. Preprocessing stage 1 using resize and reshape. Whereas after k-means is the contrast-limited adaptive histogram equalization. Preprocessing results are segmented using k-means clustering. The K-means concept classifies images using segments between the object and the background (using k = 8). The final step is the morphological process with open and close operations to obtain fish contours using black and white images based on grayscale images from color images. Based on the experimental results, the process can run well, with the ssim value close to 1, which means that image information does not change. Processed objects provide a clear picture of fish objects so that this k-means segmentation can help detect fish objects.
Co-Authors Agus Harjoko Agus Harjoko Ahmad Taufiq Akbar Akbar, Bagus Muhammad Alin Khaliduzzaman Andri Pranolo Anton Satria Prabuwono Anton Satria Prabuwono Anton Yudhana Awang Hendrianto Pratomo Bambang Yuwono Dharmawan, Dhimas Arief Drezewski, Rafal Hari Prapcoyo Husaini, Rochmat Japkowicz, Nathalie Kabul Pratiknyo, Avianto Kaswijanti, Wilis Khaliduzzaman, Alin Leuveano, Raden Achmad Chairdino Lisma Safitri lukmana, allen haryanto Michel Pierce Tahya Nathalie Japkowicz Putra, Seno Aji Raden Achmad Chairdino Leuveano Rafal Drezewski Ragil Putradianto, Ristiyan Rochmat Husaini Saifullah, Shoffan Sani, Sayang Satyanto Krido Saptomo Sayang Sani Seno Aji Putra Tahya, Michel Pierce Wilis Kaswijanti Yuhefizar Yuhefizar