scholarly journals Novel and Automatic Rice Thickness Extraction Based on Photogrammetry Using Rice Edge Features

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5561
Author(s):  
Yuchen Kong ◽  
Shenghui Fang ◽  
Xianting Wu ◽  
Yan Gong ◽  
Renshan Zhu ◽  
...  
Keyword(s):  
Average Height ◽  
Automatic Method ◽  
Shape Features ◽  
Rice Quality ◽  
Industry Standard ◽  
Upper Limit ◽  
Extraction Algorithm ◽  
National Industry ◽  
Edge Features ◽  
Binocular Stereovision

The dimensions of phenotyping parameters such as the thickness of rice play an important role in rice quality assessment and phenotyping research. The objective of this study was to propose an automatic method for extracting rice thickness. This method was based on the principle of binocular stereovision but avoiding the problem that it was difficult to directly match the corresponding points for 3D reconstruction due to the lack of texture of rice. Firstly, the shape features of edge, instead of texture, was used to match the corresponding points of the rice edge. Secondly, the height of the rice edge was obtained by way of space intersection. Finally, the thickness of rice was extracted based on the assumption that the average height of the edges of multiple rice is half of the thickness of rice. According to the results of the experiments on six kinds of rice or grain, errors of thickness extraction were no more than the upper limit of 0.1 mm specified in the national industry standard. The results proved that edge features could be used to extract rice thickness and validated the effectiveness of the thickness extraction algorithm we proposed, which provided technical support for the extraction of phenotyping parameters for crop researchers.

Multi-Resolution-Based Contour Corner Extraction Algorithm for Computer Vision-Based Measurement

2018 ◽  
Author(s):  
Jianhua Li ◽  
Lin Liao
Keyword(s):  
Computer Vision ◽  
Experimental Results ◽  
Original Algorithm ◽  
Industry Standard ◽  
Extraction Algorithm ◽  
Corner Points ◽  
Multiple Resolutions ◽  
Key Steps

Corner-based registration of the industry standard contour and the actual product contour is one of the key steps in industrial computer vision-based measurement. However, existing corner extraction algorithms do not achieve satisfactory results in the extraction of the standard contour and the deformed contour of the actual product. This paper proposes a multi-resolution-based contour corner extraction algorithm for computer vision-based measurement. The algorithm first obtains different corners in multiple resolutions, then sums up the weighted corner values, and finally chooses the corner points with the appropriate corner values as the final contour corners. The experimental results show that the proposed algorithm, based on multi-resolution, outperforms the original algorithm in the aspect of the corner matching situation and helps in subsequent product measurements.

High Resolution RS Image Industrial Solid Wastes Extraction Based on SVM

2014 ◽  
Vol 543-547 ◽  
pp. 2318-2322
Author(s):  
Xiu Hong Yao ◽  
Wen Xing Bao
Keyword(s):  
High Resolution ◽  
Anisotropic Diffusion ◽  
Feature Recognition ◽  
Solid Wastes ◽  
Shape Features ◽  
Operation Efficiency ◽  
Diffusion Filtering ◽  
Extraction Algorithm ◽  
Image Pretreatment ◽  
Fast Extraction

In order to accurately extract various types of industrial solid wastes from high resolution RS images, a industrial solid wastes feature fast extraction algorithm was proposed based on SVM. The reasonable image pretreatment was conducted by anisotropic diffusion filtering firstly. It is because that high resolution RS image contains abundant information and industrial solid wastes heap was very complex, we proposed the classification algorithm based on 1-v-1 which could extract multi-class industrial solid wastes fast and accurately at once. The new algorithm improved both efficiency and accuracy of industrial solid wastes recognition. The experimental results show that the industrial solid wastes feature recognition of SVM has better advantages than conventional methods. The new algorithm can recognize not only shape features of industrial solid wastes heap but also its material and type and it is constructed to recognize multi-class industrial solid wastes with higher operation efficiency.

scholarly journals Reconstruction of Curve Networks from Unorganized Spatial Points

2020 ◽  
Vol 26 (9) ◽  
pp. 1265-1280
Author(s):  
Shuangbu Wang ◽  
Yu Xia ◽  
Lihua You ◽  
Jianjun Zhang
Keyword(s):  
Principal Component Analysis ◽  
Computer Graphics ◽  
Reverse Engineering ◽  
Iterative Algorithm ◽  
Euclidean Distance ◽  
Principal Component ◽  
Automatic Method ◽  
Extraction Algorithm ◽  
Reconstruction Efficiency ◽  
Curve Networks

Curve network reconstruction from a set of unorganized points is an important problem in reverse engineering and computer graphics. In this paper, we propose an automatic method to extract curve segments and reconstruct curve networks from unorganized spatial points. Our proposed method divides reconstruction of curve networks into two steps: 1) detecting nodes of curve segments and 2) reconstructing curve segments. For detection of nodes of curve segments, we present a principal component analysis-based algorithm to obtain candidate nodes from unorganized spatial points and a Euclidean distance-based iterative algorithm to remove peripheral nodes and find the actual nodes. For reconstruction of curve segments, we propose an extraction algorithm to obtain the points on each of curve segments. We present quite a number of examples which use our proposed method to reconstruct curve networks from unorganized spatial points. The results demonstrate the effectiveness of our proposed method and its advantages of good automation and high reconstruction efficiency.

scholarly journals Do Government R&D Subsidies Cultivate Enterprises’ Voluntary National/Industry Standard-Setting for Sustainable Development?

2019 ◽  
Vol 11 (19) ◽  
pp. 5482
Author(s):  
Xun Zhang ◽  
Meng Shi ◽  
Biao Xu
Keyword(s):  
Sustainable Development ◽  
Instrumental Variables ◽  
Standard Setting ◽  
State Ownership ◽  
Two Stage ◽  
Research Framework ◽  
Government Subsidies ◽  
Industry Standard ◽  
National Industry ◽  
Leading Enterprises

This study investigates the effects of government subsidies for R&D on resource and environmental enterprises’ voluntary national/industry standard- (N/IS-) setting, which is critical to sustainable development. Based on innovation motivation and capability theory, we propose a research framework and hypothesis, using a panel dataset on 11,556 Chinese resource and environmental enterprises from 2011 to 2013 to test our hypotheses. We find that government subsidies for R&D have a U-shaped relationship with N/IS-setting for sustainable development. Moreover, we also find that state ownership, position in industry, and patent properties are contingency factors suggesting that non-state-owned enterprises, industry-following enterprises, or enterprises with more patents come up with N/IS-settings of significantly greater value than state-owned enterprises, leading enterprises, or enterprises with fewer patents. Endogeneity issues are addressed by utilizing two-stage estimations with instrumental variables (IVs).

scholarly journals Pengukuran Kinerja Lingkungan Industri di Indonesia berdasarkan Standar Industri Hijau

2017 ◽  
Vol 6 (1) ◽  
pp. 39 ◽  
Author(s):  
Agustina Christiani ◽  
Helena Juliana Kristina ◽  
Priskila Christine Rahayu
Keyword(s):  
Self Assessment ◽  
Standard Data ◽  
Green Industry ◽  
Industry Standard ◽  
Industry Environment ◽  
Putting Green ◽  
Level 3 ◽  
Level 1 ◽  
National Industry ◽  
Environment Performance

<p><em>National industries need to anticipate the numerous environmental issues in international trade, in order to compete with other countries. Ministry of Industry Republic of Indonesia has responded that issue by putting green industry as an important part of Master Plan of National Industry Development 2015 – 2035. To encourage industry in implementing green industry principle, since 2010 Ministry of Indsutry has conducted Green Industry Award. Although each year, there is an increasing number of award receivers, but comparing with the total numbers of industries in Indonesia, the percentage of award receivers is so small. Therefore, this research is conducted to measure the </em><em>environmental performance</em><em> of several industries in Indonesia in order to know whether industries are ready to implement green industry standard. Data were collected in 6 manufacturing industries, based on the green industry self-assessment form released by ministry of industry. From the sixth industries which were evaluated, there are two industries that show low commitment to the environment because their scores are below 50. There is one industry categorized as green industry level 1 (score=56.5). Meanwhile there are two industries categorized as level 3 (score= 77.1 and 79.8) and one industry reached level 4 (score 82.1).</em></p><p><em>Keywords: green industry,environment performance, self-assesment</em></p>

Out With the Old, in With the New: Pelton Hydro Turbine Performance Influence Utilizing Three Different Injector Geometries

2019 ◽  
Vol 141 (8) ◽  
Author(s):  
S. Petley ◽  
A. Židonis ◽  
A. Panagiotopoulos ◽  
D. Benzon ◽  
G. A. Aggidis ◽  
...  
Keyword(s):  
Experimental Testing ◽  
Cfd Analysis ◽  
The Public ◽  
Hydro Turbine ◽  
Turbine Efficiency ◽  
Industry Standard ◽  
Turbine Performance ◽  
Upper Limit ◽  
Computational Fluid Dynamics Cfd ◽  
The Impact

In previous works, the authors presented computational fluid dynamics (CFD) results, which showed that injectors with noticeably steeper nozzle and needle tip angles 110 deg & 70 deg and 150 deg & 90 deg, respectively, attain higher efficiency than the industry standard, which, according to available literature on the public domain, ranges from 80 deg to 90 deg for nozzle and 50–60 deg for needle tip angles. Moreover, experimental testing of the entire Pelton system showed that gains of about 1% in efficiency can be achieved; however there appears to be an upper limit beyond which steeper designs are no longer optimal. This study aims at providing further insight by presenting additional CFD analysis of the runner, which has been coupled with the jet profile from the aforementioned injectors. The results are compared by examining the impact the jet shape has on the runner torque profile during the bucket cycle and the influence this has on turbine efficiency. It can be concluded that the secondary velocities, which contribute to the development of more significant free-surface degradations as the nozzle and needle tip angles are increased, result in a nonoptimal jet runner interaction.

scholarly journals Fast Extraction Algorithm for Local Edge Features of Super-Resolution Image

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Feng Chen ◽  
Botao Yang
Keyword(s):  
Super Resolution ◽  
Center Of Gravity ◽  
Experimental Results ◽  
Resolution Image ◽  
Extraction Algorithm ◽  
Edge Points ◽  
Image Super Resolution ◽  
Edge Features ◽  
Local Edge ◽  
Fast Extraction

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.

scholarly journals DESKRIPSI TEKNIS PENGENDALI TINGGI MUKA CAIRAN INDUSTRI METODE FLOATLESS OMRON 61F

2019 ◽  
Vol 20 (2) ◽  
pp. 41
Author(s):  
Dista Yoel Tadeus ◽  
Iman Setiono
Keyword(s):  
Liquid Water ◽  
Salt Water ◽  
Clean Water ◽  
Excitation Voltage ◽  
Industry Standard ◽  
Liquid Storage ◽  
Upper Limit ◽  
Dirty Water ◽  
Water Salt ◽  
Control Devices

Device for controlling liquid/water level using the floatless method uses the character of liquid conductivity as an electric current carrying medium. Excitation voltage is generated by the controller and passed to the electrode through an insulated conductor cable. The electrode is submerged in a tank or liquid storage vessel and directly becomes the lower limit and upper limit of the liquid level. Omron 61F is one of the industry-standard floatless control devices that is simple, compact and relatively inexpensive and easily available on the market. Some applications for controlling liquid levels such as water supply and drainage can be done easily and simple wiring. Omron 61F provides a variety of controller types that are tailored to the application conditions and the type of liquid used, ranging from purified clean water, dirty water, salt water, to several types of acidic liquids.

Automatic measurement of SAED patterns from asbestos minerals

1988 ◽  
Vol 46 ◽  
pp. 846-847
Author(s):  
J. C. Russ ◽  
T. Taguchi ◽  
P. M. Peters ◽  
E. Chatfield ◽  
J. C. Russ ◽  
...  
Keyword(s):  
Diffraction Pattern ◽  
High Precision ◽  
Diffraction Data ◽  
Automatic Measurement ◽  
Automatic Method ◽  
Important Method ◽  
X Ray ◽  
Integrated Intensity ◽  
Asbestiform Minerals ◽  
True Center

Conventional SAD patterns as obtained in the TEM present difficulties for identification of materials such as asbestiform minerals, although diffraction data is considered to be an important method for making this purpose. The preferred orientation of the fibers and the spotty patterns that are obtained do not readily lend themselves to measurement of the integrated intensity values for each d-spacing, and even the d-spacings may be hard to determine precisely because the true center location for the broken rings requires estimation. We have implemented an automatic method for diffraction pattern measurement to overcome these problems. It automatically locates the center of patterns with high precision, measures the radius of each ring of spots in the pattern, and integrates the density of spots in that ring. The resulting spectrum of intensity vs. radius is then used just as a conventional X-ray diffractometer scan would be, to locate peaks and produce a list of d,I values suitable for search/match comparison to known or expected phases.

Probing the Chemistry and Spectroscopy of Radiation-Sensitive Polymers by Parallel-Detection EELS

1990 ◽  
Vol 48 (2) ◽  
pp. 34-35
Author(s):  
E. G. Rightor ◽  
G. P. Young
Keyword(s):  
Electron Beam ◽  
Bisphenol A ◽  
Energy Loss ◽  
Parallel Detection ◽  
Commercial Grade ◽  
Incident Electron Beam ◽  
Ptfe Sample ◽  
Spectroscopic Information ◽  
Edge Features ◽  
Electron Energy Loss

Investigation of neat polymers by TEM is often thwarted by their sensitivity to the incident electron beam, which also limits the usefulness of chemical and spectroscopic information available by electron energy loss spectroscopy (EELS) for these materials. However, parallel-detection EELS systems allow reduced radiation damage, due to their far greater efficiency, thereby promoting their use to obtain this information for polymers. This is evident in qualitative identification of beam sensitive components in polymer blends and detailed investigations of near-edge features of homopolymers.Spectra were obtained for a poly(bisphenol-A carbonate) (BPAC) blend containing poly(tetrafluoroethylene) (PTFE) using a parallel-EELS and a serial-EELS (Gatan 666, 607) for comparison. A series of homopolymers was also examined using parallel-EELS on a JEOL 2000FX TEM employing a LaB6 filament at 100 kV. Pure homopolymers were obtained from Scientific Polymer Products. The PTFE sample was commercial grade. Polymers were microtomed on a Reichert-Jung Ultracut E and placed on holey carbon grids.

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