Color Based Segmentation Using Fuzzy C Means For Bamboo As EnvironmentallyFriendly Material

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%.

The status of bamboo research and development for sustainable use in Indonesia: A systematic literature review

“…There were identified 41 papers on the topic of bamboo construction material, covering both traditional buildings [49,[57][58][59] and modern building architectural designs [60][61][62]. In addition, journals focused on bamboo material as an environmentally friendly material, a renewable material [63][64][65], earthquake-resistant buildings, and also the use of bamboo as a building material after a disaster [66][67][68][69] were also published.…”