Design of Soil-Granularity Analysis System Based on MATLAB

2015 ◽  
Vol 740 ◽  
pp. 722-726 ◽  
Author(s):  
Jian Lin Rao ◽  
Jian Shu Hou ◽  
Hao Chen ◽  
Hai Hua Li ◽  
Xue Yi Wan ◽  
...  
Keyword(s):  
Image Processing ◽  
Grain Size ◽  
Extraction Method ◽  
Detection Method ◽  
Region Of Interest ◽  
Edge Extraction ◽  
New Type ◽  
Image Edge ◽  
Analysis System ◽  
Soil Grain Size

The system in the paper based on Matlab platform. With the aid of image processing toolbox of soil image analysis and processing, the soil grain size distribution and its inclination angle can be got. It overcomes the insufficiency of the existing image edge extraction method, and proposes a new type of detection method, in order that the region of interest can be more accurately extract. The system is helpful to predict the possibility of the regional landslides.

Image Edge Extraction Based on SUSAN Operator

2014 ◽  
Vol 687-691 ◽  
pp. 3765-3768
Author(s):  
Nan Wang
Keyword(s):  
Edge Detection ◽  
High Precision ◽  
Extraction Method ◽  
The Other ◽  
Differential Detection ◽  
Edge Extraction ◽  
Image Edge ◽  
Circular Template

A new edge extraction method was put forward based on the SUSAN operator, according to the problems of poor anti-noise ability and edge detection incomplete of the conventional differential detection operator. The circular template and the center of the circle (template nuclear) were used in this method, the numbers of pixels was calculated through the comparison pixels value of template with the other points of pixels in the template circle, and then compared with the threshold, so as to the edge of images was extracted. The results showed that this method had high precision, and could be able to fully extract the edge of images. It is an effective method of extracting the edge of images.

Adaptive edge detection method for images

2008 ◽  
Vol 16 (1) ◽  
Author(s):  
A. Walczak ◽  
L. Puzio
Keyword(s):  
Edge Detection ◽  
Extraction Method ◽  
Detection Method ◽  
Polar Coordinate System ◽  
The Novel ◽  
Edge Extraction ◽  
Anisotropic Property ◽  
Multi Scale ◽  
Polar Coordinate ◽  
Edge Detection Method

AbstractThe novel two-dimensional (2D) wavelet with anisotropic property and application of it has been presented. Wavelet is constructed in the polar coordinate system to obtain anisotropic properties. A novel edge detection method has been developed with the aid of this wavelet. This method detects gradient jump and than follows along this jump. In this way the number of calculation for edge localization is reduced. Moreover, the presented method is able to detect all edges in an image in multi-scale together with its spatial orientation. Proposed wavelet as well as edge extraction method seems to be new way to edge detection for an image.

scholarly journals Comparative Analysis of Image Quality Values on Edge Detection Methods

2020 ◽  
Vol 4 (2) ◽  
pp. 345-351
Author(s):  
Wicaksono Yuli Sulistyo ◽  
Imam Riadi ◽  
Anton Yudhana
Keyword(s):  
Image Processing ◽  
Comparative Analysis ◽  
Edge Detection ◽  
Computer Technology ◽  
Detection Method ◽  
Detection Methods ◽  
Sobel Operator ◽  
Image Edge Detection ◽  
Image Edge ◽  
Edge Detection Method

Identification of object boundaries in a digital image is developing rapidly in line with advances in computer technology for image processing. Edge detection becomes important because humans in recognizing the object of an image will pay attention to the edges contained in the image. Edge detection of an image is done because the edge of the object in the image contains very important information, the information obtained can be either size or shape. The edge detection method used in this study is Sobel operator, Prewitt operator, Laplace operator, Laplacian of Gaussian (LoG) operator and Kirsch operator which are compared and analyzed in the five methods. The results of the comparison show that the clear margins are the Sobel, Prewitt and Kirsch operators, with PSNR calculations that produce values ​​above 30 dB. Laplace and LoG operators only have an average PSNR value below 30 dB. Other quality comparisons use the histogram value and the contrast value with the highest value results in the Laplace and LoG operators with an average histogram value of 110 and a contrast value of 24. The lowest histogram and contrast value are owned by the Sobel and Prewitt operators.  

The Contour Size Detection of Driver Airbag Based on Image Processing Technology

2013 ◽  
Vol 658 ◽  
pp. 546-550
Author(s):  
Xiao Dong Wang ◽  
Xiao Wei Chen ◽  
Wei Zhang ◽  
Bo Liu ◽  
Liang Dong An
Keyword(s):  
Image Processing ◽  
Template Matching ◽  
Detection Method ◽  
Detection Efficiency ◽  
Ccd Camera ◽  
Processing Technology ◽  
Edge Extraction ◽  
Image Preprocessing ◽  
The Poor ◽  
Image Processing Technology

In this paper we have developed a new methodology for detecting the contour size of driver airbag based on image processing technology and Machine vision. Through the CCD camera we can obtain the image, and then do the following operations by a computer, such as binarization, edge extraction and so on the other image preprocessing. This methodology uses intelligent template matching technology to detect the airbags and by comparing with the predefined parameter to determine whether the contour size is qualified .The experimental results show that: this new detection method solves the disadvantage of traditional detection method, such as the low detection efficiency, the detection precision is not high, the poor detection repeatability, the higher rate of detection miscarriage of justice.

An Automotive Airbag Detection Method Based on Image Processing

2013 ◽  
Vol 416-417 ◽  
pp. 1350-1354 ◽  
Author(s):  
Xiang Xin Shao ◽  
Mu Jun Xie
Keyword(s):  
Image Processing ◽  
Automobile Industry ◽  
Detection Method ◽  
Detection Methods ◽  
Edge Information ◽  
Invariant Moment ◽  
Boundary Tracking ◽  
Image Edge ◽  
Auto Parts ◽  
Dial Indicator

The development of the automobile industry led to the development of auto parts, and airbags are one of the most important safety components of cars. In this paper, to meet the shortfall of traditional way of using a dial indicator to detect airbags deficiencies, a new automotive airbag shape detection methods based on image processing technology is put forward. First, extract the airbags image edge information using the method of boundary tracking, then detect whether airbags are qualified according to the similarity of image invariant moment. Experiments confirmed this method can improve the range and accuracy of the airbag detection.

scholarly journals Visual Locating of Reactor in an Industrial Environment Using the Composite Method

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 504
Author(s):  
Chenguang Cao ◽  
Qi Ouyang ◽  
Jiamu Hou ◽  
Liming Zhao
Keyword(s):  
Image Processing ◽  
Detection Method ◽  
Region Of Interest ◽  
Corner Detection ◽  
Industrial Environment ◽  
Experimental Systems ◽  
Binocular Stereo ◽  
Image Morphology ◽  
Hole Model ◽  
Set Up

To achieve an automatic unloading of a reactor during the sherardizing process, it is necessary to calculate the pose and position of the reactors in an industrial environment with various amounts of luminance and floating dust. In this study, the defects of classic image processing methods and deep learning methods used for locating the reactors are first analyzed. Next, an improved You Only Look Once(YOLO) model is employed to find the region of interest of the handling hole and a handling hole corner detection method based on the image morphology and a Hough transform is presented. Finally, the position and pose of the reactors will be obtained by establishing a 3D handling hole model according to the principle of a binocular stereo system. To test the performance of the proposed method, a set of experimental systems was set up and experiments were conducted. The results indicate that the proposed location method is effective and the precision of the position recognition can be controlled to within 4.64 mm and 1.68 ° when the cameras are approximately 5 m away from the reactor, meeting the requirements.

Study on Extraction Method of Automobile Center Axis

2014 ◽  
Vol 998-999 ◽  
pp. 921-924 ◽  
Author(s):  
Lin Wang ◽  
Pei Jiang Chen ◽  
Lian Xiang Zhou
Keyword(s):  
Image Processing ◽  
Approximation Method ◽  
Extraction Method ◽  
Detection Method ◽  
Mass Center ◽  
Centroid Method ◽  
Processing Technologies ◽  
Fitting Method ◽  
Vehicle Inspection ◽  
Center Axis

In order to improve the accuracy of some items in vehicle inspection, the extraction method of automobile center axis based on image processing technologies was studied. The commonly used methods of detecting the center axis of automobile were introduced, including approximation method and linear fitting method, which advantages and shortcomings were analyzed. The center axis detection method based on centroid method was proposed. The mass center of automobile outline was gotten based on the binary image. By detecting the nearest two points in the outline fitting line from the center, the center axis of automobile was gotten. This method can greatly reduce the calculation amount and have certain application value.

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