Titlebook: Geometry and Vision; First International Minh Nguyen,Wei Qi Yan,Harvey Ho Conference proceedings 2021 Springer Nature Switzerland AG 2021

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Tree Leaves Detection Based on Deep Learning,s, namely, Faster R-CNN and YOLOv5, representing two-stage and one-stage algorithms, are employed to conduct tree leaves detection. Our results show that YOLOv5 model obviously outperforms to the Faster R-CNN in the speed of both model training and object detection. The difference between these two

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Deep Learning in Medical Applications: Lesion Segmentation in Skin Cancer Images Using Modified and motivated researchers to design automatic diagnostic systems. Image segmentation is one of the crucial and challenging steps in the design of a computer-aided diagnosis system owing to the presence of low contrast between skin lesion and background, noise artifacts, color variations, and irregular

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Traffic Sign Recognition Using Guided Image Filtering,missed detection or incorrect positioning. In this paper, we propose a traffic sign recognition algorithm based on Faster R-CNN and YOLOv5. Firstly, we conduct image preprocessing by using guided image filtering for the input image to remove noises. The processed images are imported into the neural

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Towards a Generic Bicubic Hermite Mesh Template for Cow Udders,y capture its complexity. In this work we propose a parametric cubic Hermite (CH) based mesh to model the shape of cow udders and teats. The workflow starts from selecting a subset of nodes from the data cloud captured by a depth scanner, and constructing a CH mesh from the nodes. Using a coherent p