A defencing algorithm based on deep learning improves the detection accuracy of caged chickens
Cage farming is the mainstream farming mode in China. Accurate individual identification
and behavioral detection of caged chickens can provide managers with a better …
and behavioral detection of caged chickens can provide managers with a better …
Single-image fence removal using deep convolutional neural network
T Matsui, M Ikehara - IEEE Access, 2019 - ieeexplore.ieee.org
In public spaces such as zoos and sports facilities, the presence of fences often annoys
tourists and professional photographers. There is a demand for a post-processing tool to …
tourists and professional photographers. There is a demand for a post-processing tool to …
VFDHSOG: copy-move video forgery detection using histogram of second order gradients
PS Raskar, SK Shah - Wireless Personal Communications, 2022 - Springer
It is a generic belief that digital video can be proffered as visual evidence in areas like
politics, criminal litigation, journalism and military intelligence services. Multicamera …
politics, criminal litigation, journalism and military intelligence services. Multicamera …
A robust and efficient image de-fencing approach using conditional generative adversarial networks
D Gupta, S Jain, U Tripathi, P Chattopadhyay… - Signal, Image and Video …, 2021 - Springer
Image de-fencing is one of the most important aspects of recreational photography in which
the objective is to remove the fence texture present in an image and generate an …
the objective is to remove the fence texture present in an image and generate an …
Modified Jensen-Bregman LogDet Divergence for Target Detection with Region Covariance Descriptor
X Fan, S Ye - IEEE Access, 2024 - ieeexplore.ieee.org
In this study, we exploit the modified Jensen-Bregman LogDet (MJBLD) divergence to
measure the dissimilarity between two region covariance descriptors extracted from an …
measure the dissimilarity between two region covariance descriptors extracted from an …
MMFS: a grape disease recognition method based on multi-feature fusion and SVM
Y Wu, J Wu, G Hu - Proceedings of the 2020 4th International …, 2020 - dl.acm.org
At present, pest and disease recognition methods based on machine vision generally have
the problems of complicated image pre-processing steps and high difficulty in image …
the problems of complicated image pre-processing steps and high difficulty in image …
De-Fencing and Multi-Focus Fusion Using Markov Random Field and Image Inpainting
Multi-focus image fusion aims at combining source information from differently focused
images. Fusion of multi-focus images has great applications in machine vision. The paper …
images. Fusion of multi-focus images has great applications in machine vision. The paper …
Detection and restoration of image from multi-color fence occlusions
M Varalakshmamma, T Venkateswarlu - Pattern Recognition and Image …, 2019 - Springer
Abstract In Image De-fencing, segmentation and restoration of occluded fence region from
the images are very challenging, when the desired object is occluded with an undesired …
the images are very challenging, when the desired object is occluded with an undesired …
Robust Zero-Watermarking Algorithm for Medical Images Based on Direction Gradient Histogram and DCT
Y Luo, J Li, UA Bhatti, M Huang… - 2023 IEEE 6th …, 2023 - ieeexplore.ieee.org
With the rapid development of Internet technology, using the Internet to transmit medical
images has gradually become an efficient and convenient transmission method. It improves …
images has gradually become an efficient and convenient transmission method. It improves …
[HTML][HTML] 梯度直方图约束的多尺度块先验模型
张墨华， 彭建华， 冯新扬， 张俊峰 - 重庆大学学报, 2021 - qks.cqu.edu.cn
块先验模型在图像复原领域取得了较大的成功, 但其整体模型强制局部性的缺点,
易出现局部伪影, 视觉观感较差的问题, 提出一种新的集成多尺度块先验和梯度直方图先验的 …
易出现局部伪影, 视觉观感较差的问题, 提出一种新的集成多尺度块先验和梯度直方图先验的 …