Segmentação e contagem de troncos de madeira utilizando deep learning e processamento de imagens
Counting objects in images is a pattern recognition problem that focuses on identifying an element to determine its incidence and is approached in the literature as Visual Object Counting (VOC). In this work, we propose a methodology to count wood logs. First, wood logs are segmented from the image background. This first segmentation step is obtained using the Pix2Pix framework that implements Conditional Generative Adversarial Networks (CGANs). Second, the clusters are counted using Connected Components. The average accuracy of the segmentation exceeds 89% while the average amount of wood logs identified based on total accounted is over 97%.
Code (0)
등록된 구현이 없습니다.
Tasks
Object CountingSegmentationMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Coexistence of two dengue virus serotypes and forecasting for Madeira island
The first outbreak of dengue occurred in Madeira Island on 2012, featuring one virus serotype. Aedes aegypti was the vector of the disease and it is unlikely that it will be eliminated from the island. Therefore, a new o…
Vocal Bursts Valence PredictionUma implementação do jogo Pedra, Papel e Tesoura utilizando Visao Computacional
This paper presents a game, controlled by computer vision, in identification of hand gestures (hand-tracking). The proposed work is based on image segmentation and construction of a convex hull with Jarvis Algorithm , an…
Image SegmentationSegmentationSemantic SegmentationSegmentação de imagens utilizando competição e cooperação entre partículas
This paper presents an extension proposal of the semi-supervised learning method known as Particle Competition and Cooperation for carrying out tasks of image segmentation. Preliminary results show that this is a promisi…
Image SegmentationSemantic Segmentation