Analysis of CT Images Using Quantum Edge Extraction Algorithm for the Assessment of Different Stages of COVID-19 Patient

2021 ◽  
pp. 797-807
Author(s):  
Rajib Chetia ◽  
Partha Pratim Sahu
2013 ◽  
Vol 475-476 ◽  
pp. 184-187
Author(s):  
Wen Guo Li ◽  
Shao Jun Duan

We present a camera calibration method based on circle plane board. The centres of circles on plane are regarded as the characteristic points, which are used to implement camera calibration. The proposed calibration is more accurate than many previous calibration algorithm because of the merit of the coordinate of circle centre being obtained from thousand of of edge pionts of ellipse, which is very reliable to image noise caused by edge extraction algorithm. Experiments shows the proposed algorithm can obtain high precise inner parameters, and lens distortion parameters.


2018 ◽  
Vol 55 (11) ◽  
pp. 111003
Author(s):  
韩玉川 Han Yuchuan ◽  
侯贺 Hou He ◽  
白云瑞 Bai Yunrui ◽  
朱险峰 Zhu Xianfeng

1991 ◽  
Vol 34 (2) ◽  
pp. 0635-0640 ◽  
Author(s):  
P. T. Jones ◽  
S. A. Shearer ◽  
R. S. Gates

2011 ◽  
Vol 179-180 ◽  
pp. 554-557
Author(s):  
Da Hui Li ◽  
Ming Diao

In the paper, the first introduced multifractal features of image, and defined some measures; then described procedures of the edge extraction algorithm; the final analyses the results of experiment and selection criteria commonly used in multifractal, proposing a different multiple fractal image, the algorithm has excellent effect on edge extraction, highlights the detail information of the main edge.


2012 ◽  
Vol 236-237 ◽  
pp. 1145-1151
Author(s):  
Qian Zhao ◽  
Guo Wei Kang ◽  
Yuan Bin Hou ◽  
Su Zhao

The background of images often obstructs the edge extraction.A new method of edge extraction is proposed in this paper, which combines classic edge extraction algorithms with optimal global threshold and the morphological dilation and restruction. It can accurately extract edges and eliminate fake edges and filter out the background well.


2012 ◽  
Vol 190-191 ◽  
pp. 1109-1112
Author(s):  
Shan Shan Gong ◽  
Mu Jun Li

For shape error analysis and correction of micro-structure in lithography, image edges should be extracted from micrographs of the structures. First several basic image edge detection algorithms are analyzed and compared. Then according to the unique conditions of micrographs in lithography experiments, an improved image edge extraction method is investigated. In this method Canny operator is selected as a basic algorithm, while the mathematical morphology is used in pre-processing for de-noising to reduce the uneven phenomenon. And an appropriate enhancement algorithm is used to enhance image contrast. Experimental results show that this method can extract the image edge from the micro-structure graphs effectively.


Author(s):  
Shuangcheng Deng ◽  
Lipei Jiang ◽  
Xiangdong Jiao ◽  
Long Xue ◽  
Yingyu Cao

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