DINAMIKA DOTCOM
DINAMIKA DOTCOM Vol. 13 No. 1 Tahun 2022

IMAGE PROCESSING / AUGMENTATION WITH SCIKIT-IMAGE PYTHON LIBRARY

Agung Slamet Riyadi (Unknown)
Dhian Sweetania (Unknown)
Puji Sularsih (Unknown)



Article Info

Publish Date
31 Jan 2022

Abstract

Deep Learning is the development of Machine Learning technology that uses algorithms based on mathematical laws. This algorithm works like the human brain. One of the uses of Deep Learning is in the field of digital image processing or Image Processing. Humans use image processing to help identify and / or classify objects quickly and accurately, and can process a lot of data at the same time. Convolutional Neural Network (CNN) is one of the deep learning algorithms used in image processing. Convolutional layer, pooling layer and fully connected layer are the 3 main layers of the CNN Algorithm. Convolutional Neural Network (CNN) groups images into two stages, namely the training and testing stages. In the training phase, CNN learns about extracting features from each data to distinguish a tag from other tags. In the testing phase, the tested data will be analyzed from the results of the training phase. The purpose of this study is to use the Convolutional Neural Network method to classify organic waste and recycle waste (recyclable waste).

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Journal Info

Abbrev

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Jurnal DINAMIKA DOTCOM merupakan jurnal pengembangan bidang ilmu Manajemen, Informatika dan Komputer yang diterbitkan 2 kali setahun (Januari dan Juli) oleh Lembaga Penerbitan STMIK PPKIA Pradnya Paramita Malang Redaksi menerima kiriman naskah dari para penulis (peneliti, dosen, professional dan ...