Fuzzy C Means Clustering and K-Means Clustering for Bamboo Image Segmentation
Khoiriya Latifah, Joko Siswanto, Bambang Supriyadi, Abdul Rochim
Universitas PGRI Semarang
Abstract
Bamboo is an environmentally friendly material. Many benefits of bamboo that we can get. For example, as an environmentally friendly fiber for textile materials, other craft construction materials. Bamboo has fiber content, including fiber length, inter-fiber adhesive, namely lignin and the higher diameter of bamboo fiber, making bamboo stems stronger and stiffer, so bamboo quality is getting better Image processing is an objective method for classification of bamboo. Segmentation is the most important step in image processing. In this study the authors used segmentation using color segmentation. From the color texture, it will be known the shape of the bamboo fiber, what is the size of the fiber in the bamboo. This study uses 3 types of bamboo for classification based on color segmentation on bamboo using fuzzy c means clustering.
Keywords: Bamboo, Segmentation, Fuzzy C Means Clustering
Topic: Computer Engineering