Color Based Segmentation Using Fuzzy C Means for Bamboo As EnvironmentallyFriendly Material
Siswanto J., Rochim A., Supriyadi B., Latifah K.
Abstract
Bamboo is an environmentally friendly material. Many benefits of bamboo that we can get. Indonesia as a bamboo-producing country needs easy techniques to make good classification of bamboo. Bamboo is composed of fibers and fiber adhesives. There are various kinds of bamboo in Indonesia. This study uses digital image processing with fuzzy c means based segmentation to identify bamboo. Segmentation is an important thing in image processing. By using fuzzy c means in segmentation in this study obtained good segmentation results. This study uses 4 types of bamboo, namely Javanese bamboo, Ori bamboo and Petung bamboo and Wulung bamboo. There are 40 images as training images and 12 test images. The results of segmentation show that fuzzy c means produces good segmentation with the number of iterations between 20-23 and time ranging from 0.11 to 0.15. The accuracy of this test reaches 80%.
Image Processing: Principles and Applications
Acharya T., Acharya T., Ray A.K., Ray A.K., Acharya T., Acharya T., Ray A.K., Ray A.K.
Fuzzy hyperspectral classifier for automatic target recognition (ATR) systems
Farag A.A., Hsu S.-Y., Yamany S.M.
Image segmentation by fuzzy c-means clustering algorithm with a novel penalty term
Huang S., Yang Y.
Improved Fuzzy C-Mean Algorithm for Image Segmentation
Hind Rustum M.
Analisis Perbandingan K-Means dan Fuzzy C-Means untuk Pemetaan Motivasi Balajar Mahasiswa
Mustakim, Nurndah S.
Implementasi Algoritma Fuzzy C Means dan Stastitical Region Merging Pada Segmentasi Citra
Made Budi Adnyana I.
No Title
Dynamic Image Segmentation using Fuzzy C-Means based Genetic Algorithm
Amiya H., Soumajit P.
No Title
Darma P.
No Title
Eko P.
Karlinasari L., Soekmadi R., Ekawati D., Machfud M.
Iop Conference Series Earth and Environmental Science
