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Aravind Kolli, Qi Wei and Stephen A. Ramsey
In this work, we explored computational methods for analyzing a color digital image of a wound and predicting (from the analyzed image) the number of days it will take for the wound to fully heal. We used a hybrid computational approach combining deep ne...
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Ruonan Gao, Fengxiang Jin, Min Ji and Yanan Zuo
Wheat stripe rust poses a serious threat to the quality and yield of wheat crops. Typically, the occurrence data of wheat stripe rust is characterized by small sample sizes, and the current research on severity identification lacks high-precision methods...
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Zhixiong Chen, Yilang Shen, Xinlin Lv, Qiaolin Qin and Xin Chen
To better satisfy user?s needs for the accurate visualization of massive amounts of geographic data, the variable-scale expression of map content based on multilevel data organization has attracted increasing attention. Traditional methods based on vecto...
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Haolin Xue, Xiang Chen, Ruo Zhang, Peng Wu, Xudong Li and Yuanchang Liu
Unmanned surface vehicles (USVs) are receiving increasing attention in recent years from both academia and industry. To make a high-level autonomy for USVs, the environment situational awareness is a key capability. However, due to the richness of the fe...
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Nico Valentini and Yann Balouin
Coastal video monitoring has proven to be a valuable ground-based technique to investigate ocean processes. Presently, there is a growing need for automatic, technically efficient, and inexpensive solutions for image processing. Moreover, beach and coast...
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Carlos Villaseñor, Alberto A. Gallegos, Javier Gomez-Avila, Gehová López-González, Jorge D. Rios and Nancy Arana-Daniel
The approach presented in this paper is implemented in an autonomous UAV to provide the ability to change its path according to ground position and weather conditions, since sustaining an aircraft when flying through a dense cloud is not possible.
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Cheng Li, Baolong Guo, Geng Wang, Yan Zheng, Yang Liu and Wangpeng He
Superpixels intuitively over-segment an image into small compact regions with homogeneity. Owing to its outstanding performance on region description, superpixels have been widely used in various computer vision tasks as the substitution for pixels. Ther...
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Gang Yan, Rongjia Bi, Yingchun Guo and Weifeng Peng
Image aesthetic evaluation refers to the subjective aesthetic evaluation of images. Computational aesthetics has been widely concerned due to the limitations of subjective evaluation. Aiming at the problem that the existing evaluation methods of image ae...
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In this paper, we propose a semantic segmentation method based on superpixel region merging and convolutional neural network (CNN), referred to as regional merging neural network (RMNN). Image annotation has always been an important role in weakly-superv...
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Yang Chen, Ming Zhang, Hong-Mei Yan, Yong-Jie Li and Kai-Fu Yang
Speckle is a kind of noise commonly found in ultrasound images (UIs). Although traditional local operation-based methods, such as bilateral filtering, perform well in de-noising normal natural images with suitable parameters, these methods may break loca...
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