Image matching is an important topic in image processing. Matching technology plays an important role in and is the basis for image understanding. In order to solve the shortcomings of slow image matching and low matching accuracy, a matching method based on improved genetic algorithm is proposed. The main improvement of the algorithm is the use of selfidentifying crossover operators for ...
Abstract nearest neighbour algorithm, and convex shell method to achieve preliminary segmentation, merge small pieces with large pieces, and split adhered particles, respectively. Comparing the automated segmentation using this method with manual segmentation, it is found that the results are comparable.
Abstract: A new method of surface roughness detection based on image processing technique is proposed in this paper. The developed vision system uses a CCD camera for scanning grayscale images from an area of the machined workpiece. This images were analysed with digital image processing system. Some new optical
Yang et al. introduced a procedure to measure the size distribution of coal fragments using digital image processing [8] by analyzing still images of coal, and the obtained results were closer to the experimental results than those obtained by the size estimation method known as the fractal model.
An improved mass model with only two parameters for coarse coal particles using image analysis was established. ... and morphology have been analyzed qualitatively (Zhang et al., 2012a). With continued research on particles, particle size measurements based on quantitative methods have been proposed, and the shape, size and surface structure of ...
III. Image Processing Method of System. Image is the information transfer carrier of machine vision measuring system, and the quality of its original information obtained and advantage of image processing algorithm will directly influence the system performance. Therefore, in order to realize highprecision automatic measuring to the workpiece ...
DOI: / Corpus ID: ; Estimation of coal particle size distribution by image segmentation article{Zhang2012EstimationOC, title={Estimation of coal particle size distribution by image segmentation}, author={Zelin Zhang and Jianguo Yang and Lihua Ding and Yuemin Zhao}, journal={International journal of mining science and technology}, year={2012}, volume={22 ...
Large foreign object transporting by coal mine conveyor belt may lead to production safety hazards. To reduce safety accidents during coal mining, a large foreign object detection method based on machine vision is proposed in this paper. An adaptive weighted multiscale Retinex (MSR) image enhancement algorithm is proposed to improve the captured image quality of the belt conveyor line. An ...
Table 1 lists the physical parameters of the pulverized coal and air which are required for numerical calculation (The temperature is set as 71 °C which is just consistent with that of pipe flow during inline experiments). In this calculation, the range of the pulverized coal size is 1200 μm, and the volume fraction is from % to 1%. Therefore, ultrasonic frequencies of 40 kHz and 200 ...
The noncontact digital image processing technology determines the deformation of the sample according to the deformation amount of the image taken when the coal deforms. Using computer to collect and process data is a noncontact and noninterfering deformation measurement technology that does not interfere with the deformation of the sample.
Measured particle area (A) from image analysis is converted to an equivalent particle diameter (D e, D e = 2 × √ A∕ ), which is then used to calculate sphere volumes and determine their mass ...
Digital imaging technique provides an accurate measurement of particle size by processing the particle's projected area in the image and counting the digital pixels with a preset of scanning resolution [20, 2326]. The images can be taken either by a scanner or by a scanning electron microscope (Fig. ).
Meas. Sci. Technol. 20 (2009) 114006 HWanget al Nomenclature A matrix relating the 3D temperature in the furnace and temperature image a, b, c coefficients in the polynomial functions for calibration (/)B matrix used to reconstruct the 3D temperature distribution D matrix for regularization e relative difference (%) I spectral radiation intensity (W m −2 μm 1) R, G red and green data of ...
8 mm 10% 3 mm 90% 8 mm ... Another method used to determine the degree of moisture in a material is image processing. The literature presents applications of vision methods to assess the...
Machine vision technology [12,13] is widely used in coal gangue image processing [14], target region segmentation [15], and other fields for its economic, efficient, safe, and reliable ...
To test our object_ script, just issue the following command: python object_ image images/example_ width Your output should look something like the following: Figure 2: Measuring the size of objects in an image using OpenCV, Python, and computer vision + image processing techniques.
The pore wall thickness measurement by image analysis provided significant correlations with M 40, CRI and CSR values. This explains the usability of image analysis for coke structure measurement. A comparative study was carried out for measurement by volumetric method, image analysis, mercury porosimetry and Xray CT scan measurements.
This paper focuses on the size distribution measurement of coal fragments by digital imaging processing. The fast and precise measurement of coal fragments, which is important to understand the crack propagation and energy dissipation process of coal failure, has not been achieved by previous research. In this paper, an image analysis method using MATLAB is proposed to measure fragment size ...
Comparison of Coal Particle Size Measurement Results of. Di ... probability of any piece in any step is constant when coals are. ... analysis of coarse aggregate using digital image processing, ...
Image processing Particle size distribution Diffusion coefficient Laser particle analyzer Coal particles 1. Introduction Coal particles are mixed by various particle sizes after crushing massive coal. Coal particle is widely applied in the physical property test.
imagebased size distribution estimation of coal piles on a conveyor. 1. Introduction Rock size affects the productivity of mining and mineral processing from the initial phase of drilling and blasting to crushing and grinding et al [17]. Conveyor is the most common means of transportation.
Two image processing procedures were developed to ... respirable coal mine dust; particle size; mineral composition 1. Introduction In the coal mining industry, respirable coal mine dust (RCMD) is generated during ... Two 6 26 mm pieces were cut from each sample. One piece was cut from the edge, and the other piece was from near the center of ...
The coal samples were mixed evenly and put into the image acquisition system to collect the images of the coal samples. Image segmentation processing was implemented, and an example picture of a coal sample segmented and marked with boundary lines was shown in Fig. 8. Download : Download highres image (157KB) Download : Download fullsize image
Two hundred images of coal piles comprised of coal sized above 3 mm were captured. Over 100 kg of coal were sampled and sieved manually into five size fractions: 36, 613, 1325, 2550, and 50100 mm. The size of the image was 1024 × 768 pixels and the imaged area was 18 × cm.
Top coal caving simulation test: put 300 mm crushed coal in the funnel, and then tiled 500 mm crushed gangues, the detector height was reduced to 200 mm from the platform bottom plate, the ...
Currently, there is little research on realtime monitoring methods for coal dry screening. Liao [] developed a new online automatic optical inspection system (OAOIS) applying digital image processing to measure the coarse particle size [] demonstrated the inconsistencies of lengthbased separation by mechanical sieving using standard sieves and developed a user ...
DOI: / Corpus ID: ; Size distribution measurement of coal fragments using digital imaging processing article{Yang2020SizeDM, title={Size distribution measurement of coal fragments using digital imaging processing}, author={Xiaohan Yang and Tingxiang Ren and Lihai Tan}, journal={Measurement}, year={2020}, volume={160}, pages={107867}, url={https://api ...
To obtain the geometrical statistics of the coal cleat network at the core scale, quantitative image analysis methods on the segmented microCT images have been developed. BossieCodreanu et al. (2004) and ( Mazumder et al., 2006) measured cleat density, spacing, orientations and aperture sizes using microCT scanning.
The whole pipeline of LIST consists of three processes: (1) morphology recognition; (2) size measurement; and (3) scalebar and text recognition for scale conversion. The first process is to determine the morphology of the nanoparticles in the input SEM image. We then perform a size measurement process, depending on the input morphology type.
Experimental results show that the combined high speed imaging and image processing technique has provided an effective means for measuring and quantifying the characteristics of single coal ...
Respirable coal mine dust represents a serious health hazard for miners. Monitoring methods are needed that enable fractionation of dust into its primary components, and that do so in real time. Near the production face, a simple capability to monitor the coal versus mineral dust fractions would be highly valuable for tracking changes in dust sources—and supporting timely responses in terms ...
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