公开(公告)号：US11195254B2

公开(公告)日：2021-12-07

申请号：US16980794

申请日：2018-03-28

申请人： XIDIAN UNIVERSITY

发明人： Huixin Zhou ,  Dong Zhao ,  Runda Qian ,  Lixin Guo ,  Xiuping Jia ,  Jun Zhou ,  Maosen Huang ,  Hanlin Qin ,  Bo Yao ,  Yue Yu ,  Huan Li ,  Jiangluqi Song ,  Bingjian Wang ,  Kuanhong Cheng ,  Juan Du ,  Shangzhen Song

IPC分类号： G06T3/00 ,  G06T7/38 ,  G06T5/50 ,  G06T7/00

摘要： An interframe registration and adaptive step size-based non-uniformity correction method for an infrared image, comprising: first calculating a normalized cross-power spectrum of n-th and (n−1)-th original infrared images with the non-uniformity, and then calculating a horizontal relative displacement and a vertical relative displacement of the n-th and (n−1)-th original infrared images with the non-uniformity; calculating a space variance and a time variance of each pixel of the n-th original infrared image with the non-uniformity, using the obtained space variance and time variance to calculate an adaptive iterative step size of each pixel of the n-th original infrared image with the non-uniformity, and using the iterative step size to update a gain correction coefficient and a bias correction coefficient; finally, performing non-uniformity correction on the pixel in an overlapping area of the n-th and (n−1)-th original infrared images with the non-uniformity.

公开(公告)号：US11066088B2

公开(公告)日：2021-07-20

申请号：US17270873

申请日：2018-12-13

申请人： XIDIAN UNIVERSITY

发明人： Huixin Zhou ,  Pei Xiang ,  Baokai Deng ,  Yue Yu ,  Lixin Guo ,  Dong Zhao ,  Hanlin Qin ,  Bingjian Wang ,  Jiangluqi Song ,  Huan Li ,  Bo Yao ,  Rui Lai ,  Xiuping Jia ,  Jun Zhou

IPC分类号： B61L15/00 ,  B61L27/00 ,  G06T7/136 ,  G06T7/11 ,  G06T7/73 ,  G06K9/62 ,  B61K11/00 ,  B61C17/02 ,  H04N5/235

摘要： A detection and positioning method for a train water injection port includes: acquiring train water injection port video images, and performing threshold segmentation on the train water injection port video images to obtain binarized train water injection port video images; processing the binarized train water injection port video images and matching the processed binarized train water injection port video images with a train water injection port template image; detecting a position of the water injection port in the train water injection port video image and comparing the position with a pre-set position range where the water injection port is located; and if the position and the pre-set position range have been matched, then transmitting a matching valid signal to a mechanical device control module to control a mechanical device to move or stop and start or stop water injection.

公开(公告)号：US11055574B2

公开(公告)日：2021-07-06

申请号：US17270908

申请日：2018-11-20

申请人： XIDIAN UNIVERSITY

发明人： Huixin Zhou ,  Jiajia Zhang ,  Yuanbin Shi ,  Dong Zhao ,  Lixin Guo ,  Hanlin Qin ,  Bingjian Wang ,  Rui Lai ,  Huan Li ,  Jiangluqi Song ,  Bo Yao ,  Yue Yu ,  Xiuping Jia ,  Jun Zhou

IPC分类号： G06K9/62 ,  G06K9/36 ,  G06N3/08 ,  G06N3/04

摘要： A feature fusion and dense connection-based method for infrared plane object detection includes: constructing an infrared image dataset containing an object to be recognized, calibrating a position and class of the object to be recognized in the infrared image dataset, and obtaining an original known label image; dividing the infrared image dataset into a training set and a validation set; performing image enhancement preprocessing on images in the training set, performing feature extraction and feature fusion, and obtaining classification results and bounding boxes through a regression network; calculating a loss function according to the classification results and the bounding boxes in combination with the original known label image, and updating parameter values of a convolutional neural network; repeating the steps to iteratively update the parameters of the convolutional neural network; and processing images in the validation set through the parameters to obtain a final object detection result map.