fast extraction
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2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Feng Chen ◽  
Botao Yang

Image super-resolution is getting popularity these days in diverse fields, such as medical applications and industrial applications. The accuracy is imperative on image super-resolution. The traditional approaches for local edge feature point extraction algorithms are merely based on edge points for super-resolution images. The traditional algorithms are used to calculate the geometric center of gravity of the edge line when it is near, resulting in a low feature recall rate and unreliable results. In order to overcome these problems of lower accuracy in the existing system, an attempt is made in this research work to propose a new fast extraction algorithm for local edge features of super-resolution images. This paper primarily focuses on the super-resolution image reconstruction model, which is utilized to extract the super-resolution image. The edge contour of the super-resolution image feature is extracted based on the Chamfer distance function. Then, the geometric center of gravity of the closed edge line and the nonclosed edge line are calculated. The algorithm emphasizes on polarizing the edge points with the center of gravity to determine the local extreme points of the upper edge of the amplitude-diameter curve and to determine the feature points of the edges of the super-resolution image. The experimental results show that the proposed algorithm consumes 0.02 seconds to extract the local edge features of super-resolution images with an accuracy of up to 96.3%. The experimental results show that our proposed algorithm is an efficient method for the extraction of local edge features from the super-resolution images.


Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8495
Author(s):  
Yue Liu ◽  
Shijie Zhang ◽  
Xiangtian Zhao

This paper investigates the problem of spacecraft relative navigation with respect to an unknown target during the close-proximity operations in the on-orbit service system. The serving spacecraft is equipped with a Time-of-Flight (ToF) camera for object recognition and feature detection. A fast and robust relative navigation strategy for acquisition is presented without any extra information about the target by using the natural circle features. The architecture of the proposed relative navigation strategy consists of three ingredients. First, a point cloud segmentation method based on the auxiliary gray image is developed for fast extraction of the circle feature point cloud of the target. Secondly, a new parameter fitting method of circle features is proposed including circle feature calculation by two different geometric models and results’ fusion. Finally, a specific definition of the coordinate frame system is introduced to solve the relative pose with respect to the uncooperative target. In order to validate the efficiency of the segmentation, an experimental test is conducted based on real-time image data acquired by the ToF camera. The total time consumption is saved by 94%. In addition, numerical simulations are carried out to evaluate the proposed navigation algorithm. It shows good robustness under the different levels of noises.


2021 ◽  
Author(s):  
Junsheng Kong ◽  
Weizhao Li ◽  
Zeyi Liu ◽  
Ben Liao ◽  
Jiezhong Qiu ◽  
...  

2021 ◽  
Author(s):  
Suyash Kushwaha ◽  
Amir Attar ◽  
Riccardo Trinchero ◽  
Flavio Canavero ◽  
Rohit Sharma ◽  
...  

Author(s):  
Kazumi Osada ◽  
Sadaharu Miyazono ◽  
Motoko Ohata ◽  
Tomohiro Noguchi ◽  
Makoto Kashiwayanagi

Abstract The Y-maze is often used to detect subtle differences between similar odor sources; however, very little information is available about the dispersion of odor plumes in the Y-maze. Using headspace solid-phase microextraction (HS-SPME) in conjunction with a GC-MS system, we quantified alkylpyrazine analogs in the Y-maze. Rapid extraction of volatile compounds in the vapor phase enabled accurate quantitative analysis of temporal changes in the levels of gaseous alkylpyrazine analogs at several locations in the Y-maze. We conducted behavioral tests of mice in response to these volatiles and identified a positive relationship between the rate of increase in gaseous concentration and the induced avoidance rate. Our results demonstrate that the Y-maze is a simple but reliable apparatus for behavioral studies of olfaction. Our findings show that the HS-SPME fast extraction method could quantify how gaseous concentrations of alkylpyrazine analogs change over time, and that temporal increases in alkylpyrazine concentration were correlated with induction of aversive behavior in mice.


Author(s):  
Pushpinder Kaur Brar ◽  
Balpreet Kaur Kang ◽  
Rozy Rasool ◽  
Sanjay Kumar Sahoo

Abstract Background Exposure of Apis mellifera to neonicotinoid insecticides is one of the factors attributed to the recent decline in A. mellifera populations resulting in economic and ecological losses due to loss of pollination services. Honeybees can get exposed to neonicotinoids like imidacloprid directly in the field at the time of application as well as during consumption of pollen and nectar from treated plants. In addition, some metabolites of imidacloprid are more toxic than the parent compound. So, the fate of imidacloprid and its metabolites in commodities to which honeybees get exposed needs to be overhauled. Objective To validate QuEChERS method for estimation of imidacloprid and its metabolites in cotton flower, pollen, nectariferous tissue, and honey using HPLC. Methods The QuEChERS method was validated in terms of selectivity, linearity, LOD, LOQ, matrix match, accuracy, and precision. The estimation of residues was done by HPLC. Results Recoveries of imidacloprid and its metabolites for cotton flowers, nectariferous tissue, pollen and honey samples were in the range of 80.42–99. 83%. LOQ for imidacloprid and its metabolites was 0.01 µg/g. Acceptable precision (RSD < 20%) was obtained. Conclusion The method allows simple and fast extraction of imidacloprid and its metabolites from cotton flower, pollen, nectariferous tissue, and honey. Highlights An accurate, simple, and sensitive analytical method was validated for imidacloprid and its metabolites. The method was validated according to the SANTE/12682/2019 guidelines.


2021 ◽  
Author(s):  
Ruzica Cvetanovic ◽  
Zarko Janda

This paper proposes a new method for very fast extraction of symmetrical components.


2021 ◽  
Author(s):  
Ruzica Cvetanovic ◽  
Zarko Janda

This paper proposes a new method for very fast extraction of symmetrical components.


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