cGAN segmentation followed by noise-handling image processing and connected components counting reaches 96.4% pixel accuracy and 92.3% log-count accuracy on a newly released dataset of 466 eucalyptus log images.
An implementation of moving object detection, tracking and counting objects for traffic surveillance system
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A Novel Approach for the Counting of Wood Logs Using cGANs and Image Processing Techniques
cGAN segmentation followed by noise-handling image processing and connected components counting reaches 96.4% pixel accuracy and 92.3% log-count accuracy on a newly released dataset of 466 eucalyptus log images.