Based on Wavelet Transform and Fuzzy Algorithm of Coal Storage Image Edge Detection Algorithm

2011 ◽  
Vol 301-303 ◽  
pp. 1305-1309
Author(s):  
Bin Qu ◽  
Yan Jun Zhao ◽  
Cheng Yuan Bai
Keyword(s):  
Edge Detection ◽  
Detection Algorithm ◽  
Good Effect ◽  
Fuzzy Membership Function ◽  
Edge Detection Algorithm ◽  
Image Edge ◽  
Edge Detection Method ◽  
Modulus Maxima ◽  
Single Pixel

Volume and the coal quality of coal measure concerns cost accounting, economic benefit assessment work, when we determine the volume of coal, the camera will be used to obtain image information, and then mosaics and fitting the images, get the clear single pixel level profile. Which obtained a clear outline of a single pixel line is critical important for image fitting.This paper introduced Mallat wavelet modulus maxima edge detection method and fuzzy membership function constructed corresponding algorithm of single pixel level, get edge detection algorithm can obtain good effect.

Coal Gangue Image Edge Detection Based on Wavelet Transform

2012 ◽  
Vol 214 ◽  
pp. 375-380 ◽  
Author(s):  
Tie Yun Li
Keyword(s):  
Wavelet Transform ◽  
Edge Detection ◽  
Detection Algorithm ◽  
Coal Gangue ◽  
Edge Detection Algorithm ◽  
Image Edge Detection ◽  
Multi Resolution Analysis ◽  
Resolution Analysis ◽  
Image Edge

An edge detection algorithm is developed for coal gangue images, and the method has two advantages compared with traditional ones. Firstly, multi-resolution analysis of wavelet transform can improve the quality of edge detection. Secondly, the algorithm is faster for real time. Since the threshold directly from the coefficients of wavelet transform, the rate of recognition for coal gangue is highly raised. The experiment results show that the method is an efficient edge detection algorithm for extraction edges from the noised images of coal gangues.

Polynomial Interpolation Sub-Pixel Edge Detection Method Based on Improved Canny Operator

2014 ◽  
Vol 563 ◽  
pp. 203-207
Author(s):  
Kun Lin Yu ◽  
Zhi Yu Xie
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Polynomial Interpolation ◽  
Detection Algorithm ◽  
Edge Image ◽  
Canny Operator ◽  
Edge Detection Algorithm ◽  
Canny Edge ◽  
Image Edge ◽  
Edge Detection Method

According to the shortcoming of traditional Canny edge detection algorithm is sensitive to noise and low positioning accuracy, this paper proposes an algorithm of Polynomial interpolation Sub-pixel edge detection based on improved Canny operator: We first use improved Canny operator edge detection algorithm to extract rough image edge, then use the quadratic Polynomial interpolation to calculate on the rough extraction edge, finally refine the edge image. Experiments show that the improved method is better than the traditional detection method can accurately locate the image edge.

Fabric Image Edge Detection Based on Quaternion and Echo State Networks

2012 ◽  
Vol 263-266 ◽  
pp. 2483-2487
Author(s):  
Ang Yan Tu ◽  
Jian Cheng Chen
Keyword(s):  
Edge Detection ◽  
Color Image ◽  
Detection Algorithm ◽  
Good Effect ◽  
Vector Product ◽  
Edge Detection Algorithm ◽  
Echo State Networks ◽  
Image Edge Detection ◽  
Image Edge

Based on synthesizing quaternion and the R, G, B component of color image , a color image edge detection algorithm was proposed combining quaternion with Echo State Networks(ESN) in this paper . The pixel and its eight neighbourhood average is used to calculate vector product as the characteristic vectors of image edge. Then the ESN has been trained by the characteristic vectors. After training , the ESN is directly used for edge detection. Experiments show that this method has good effect of fabric edge detection, and have a stronger ability to keep the details.

Fabric Image Edge Detection Based on Octonion and Echo State Networks

2014 ◽  
Vol 519-520 ◽  
pp. 714-718
Author(s):  
Jian Cheng Chen ◽  
Ang Yan Tu
Keyword(s):  
Edge Detection ◽  
Color Image ◽  
Detection Algorithm ◽  
Good Effect ◽  
Vector Product ◽  
Edge Detection Algorithm ◽  
Echo State Networks ◽  
Image Edge Detection ◽  
Training Samples ◽  
Image Edge

Based on synthesizing octonions and the R, G, B components of color image , a color image edge detection algorithm is proposed ,combining octonions with Echo State Networks(ESN) . The judged pixel and its eight-neighbourhood mean is used to calculate vector product as the feature vectors of image edge. Then the ESN is trained with training samples and the trained ESN is directly used for edge detection. Experiments show that this method has good effect of fabric edge detection with a stronger ability to keep the details.

Application of Improved Canny Edge Detection Algorithm in Coal-Rock Interface Recognition

2012 ◽  
Vol 220-223 ◽  
pp. 1279-1283 ◽  
Author(s):  
Li Hong Dong ◽  
Peng Bing Zhao
Keyword(s):  
Edge Detection ◽  
Detection Algorithm ◽  
Canny Edge Detection ◽  
Edge Detection Algorithm ◽  
Canny Edge ◽  
Rock Interface ◽  
Coal Rock ◽  
Image Edge ◽  
Canny Algorithm ◽  
Canny Edge Detection Algorithm

The coal-rock interface recognition is one of the critical automated technologies in the fully mechanized mining face. The poor working conditions underground result in the seriously polluted edge information of the coal-rock interface, which affects the positioning precision of the shearer drum. The Gaussian filter parameters and the high-low thresholds are difficult to select in the traditional Canny algorithm, which causes the information loss of gradual edge and the phenomenon of false edge. Consequently, this paper presents an improved Canny edge detection algorithm, which adopts the adaptive median filtering algorithm to calculate the thresholds of Canny algorithm according to the grayscale mean and variance mean. This algorithm can protect the image edge details better and can restrain the blurred image edge. Experimental results show that this algorithm has improved the edge extraction effect under the case of noise interference and improved the detection precision and accuracy of the coal-rock image effectively.

An Improved Edge Detection Algorithm Based on Canny Operator

2013 ◽  
Vol 347-350 ◽  
pp. 3541-3545 ◽  
Author(s):  
Dan Dan Zhang ◽  
Shuang Zhao
Keyword(s):  
Edge Detection ◽  
Detection Algorithm ◽  
Image Simulation ◽  
Edge Image ◽  
Canny Operator ◽  
Edge Detection Algorithm ◽  
Image Edge Detection ◽  
Canny Edge ◽  
Image Edge ◽  
Canny Edge Detection Algorithm

The traditional Canny edge detection algorithm is analyzed in this paper. To overcome the difficulty of threshold selecting in Canny algorithm, an improved method based on Otsu algorithm and mathematical morphology is proposed to choose the threshold adaptively and simultaneously. This method applies the improved Canny operator and the image morphology separately to image edge detection, and then performs image fusion of the two results using the wavelet fusion technology to obtain the final edge-image. Simulation results show that the proposed algorithm has better anti-noise ability and effectively enhances the accuracy of image edge detection.

Image edge detection algorithm based on fuzzy set

2020 ◽  
Vol 38 (4) ◽  
pp. 3557-3566
Author(s):  
Shuqiang Wang ◽  
Shuo Liang ◽  
Fei Peng
Keyword(s):  
Edge Detection ◽  
Fuzzy Set ◽  
Detection Algorithm ◽  
Edge Detection Algorithm ◽  
Image Edge Detection ◽  
Image Edge

scholarly journals Identification of Image Edge Using Quantum Canny Edge Detection Algorithm

2019 ◽  
Vol 13 (2) ◽  
pp. 133-144 ◽  
Author(s):  
Dini Sundani ◽  
◽  
Sigit Widiyanto ◽  
Yuli Karyanti ◽  
Dini Tri Wardani ◽  
...  
Keyword(s):  
Edge Detection ◽  
Detection Algorithm ◽  
Canny Edge Detection ◽  
Edge Detection Algorithm ◽  
Canny Edge ◽  
Image Edge ◽  
Canny Edge Detection Algorithm

scholarly journals 3D Image Edge Detection Algorithm for Depth Detection

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3555-3557
Keyword(s):  
Edge Detection ◽  
Detection Algorithm ◽  
Edge Detection Algorithm ◽  
3 Dimensional ◽  
3D Objects ◽  
Image Edge Detection ◽  
Canny Edge ◽  
Image Edge ◽  
3D Scene ◽  
Edge Recognition

Showing a genuine 3 dimensional (3D) objects with the striking profundity data is dependably a troublesome and cost-devouring procedure. Speaking to 3D scene without a noise (raw image) is another case. With a honed technique for survey profundity measurement can be effortlessly gotten, without requiring any extraordinary instrument. In this paper, we have proposed an edge recognition process in a profundity picture dependent on the picture based smoothing and morphological activities.In this strategy, we have utilized the guideline of Median sifting, which has a prestigious element for edge safeguarding properties. The edge discovery was done dependent on the Canny Edge Detection Algorithm. Along these lines this strategy will help to identify edges powerfully from profundity pictures and add to advance applications top to bottom pictures

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