scholarly journals Automatic Edge Detection by Combining Kohonen SOM and the Canny Operator

2005 ◽  
pp. 954-965
Author(s):  
P. Sampaziotis ◽  
N. Papamarkos
Keyword(s):  
Edge Detection ◽  
Canny Operator ◽  
Kohonen Som

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.

Application of Image Analysis Based on Canny Operator Edge Detection Algorithm in Measuring Railway Out-of-Gauge Goods

2014 ◽  
Vol 912-914 ◽  
pp. 1172-1176 ◽  
Author(s):  
Yong Han ◽  
Mu Qiao ◽  
Xue Wan ◽  
Qing Chang
Keyword(s):  
Edge Detection ◽  
Measurement Errors ◽  
Detection Algorithm ◽  
Digital Measurement ◽  
Contour Extraction ◽  
Mathematical Software ◽  
Canny Operator ◽  
Edge Detection Algorithm ◽  
Measurement Results ◽  
Transport Safety

In order to guarantee out-of-gauge freight transport safety, it is necessary to study digital measurement to improve measuring accuracy for out-of-gauge goods which is very difficult to master outline dimension. The process of edge detection and the algorithm of canny operator edge detection were introduced in this paper. Taking the transformer for example, contour extraction was carried out on the end and the widths of transverse and longitudinal height are measured through the mathematical software MATLAB. Finally, measurement results are validated based on the known data. The results showed that canny operator has high calculate precision, and the closer to the part calibrated with pixel calibration, smaller the measurement errors are.

Image Identification of a Moving Object Based on an Improved Canny Edge Detection Algorithm

2018 ◽  
Author(s):  
Yang Liu ◽  
Lingyu Sun ◽  
Lijun Li ◽  
Yiben Zhang ◽  
Zongmiao Dai ◽  
...  
Keyword(s):  
Edge Detection ◽  
Moving Objects ◽  
Median Filter ◽  
Critical Role ◽  
Detection Algorithm ◽  
Object Identification ◽  
Moving Object ◽  
Detection Accuracy ◽  
Image Process ◽  
Canny Operator

Edge detection plays an increasingly critical role in image process community, especially for moving object identification problems. For this case, the target object can be captured straightly via the edges beside which there is an obvious jump of grey value or texture. Nowadays, Canny operator has gained great popularity as it shows higher anti-noise performance and presents better detection accuracy in comparison with other edge detection operators like Robert’s, Sobel’s, Prewitt’s etc. However, the Gaussian filter associated with the classic Canny operator is sometimes too simple to decrease the all-type-noise. Additionally, in order to enhance the detection accuracy and lower the pseudo-edges detection ratio, two thresholds, high and low, are chosen artificially which have actually limited the adaptability of the algorithm. In this work, a compound filter, Gaussian-Median filter, is proposed to improve the smoothing effect. The self-adaptive multi-threshold Otsu algorithm is realized to determine the high/low threshold automatically according to the grey value statistic. Image moment method is conducted on basis of the detected moving object edges to locate the centroid and to compute the principal orientation. The experimental results based upon locating the edges of both static and moving objects proved the good robustness and the excellent accuracy of the proposed method.

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.

Research on improved edge extraction algorithm of rectangular piece

2018 ◽  
Vol 29 (01) ◽  
pp. 1850007 ◽  
Author(s):  
Yi-Bin He ◽  
Ya-Jun Zeng ◽  
Han-Xin Chen ◽  
San-Xia Xiao ◽  
Yan-Wei Wang ◽  
...  
Keyword(s):  
Edge Detection ◽  
Detection Algorithm ◽  
Experimental Result ◽  
Structural Elements ◽  
Canny Operator ◽  
Edge Detection Algorithm ◽  
Morphological Gradient ◽  
Extraction Algorithm ◽  
Image Edge ◽  
Rectangular Piece

Traditional edge detection operators such as Prewitt operator, LOG operator and Canny operator, etc. cannot meet the requirements of the modern industrial measurement. This paper proposes a kind of image edge detection algorithm based on improved morphological gradient. It can be detect the image using structural elements, which deals with the characteristic information of the image directly. Choosing different shapes and sizes of structural elements to use together, the ideal image edge information can be detected. The experimental result shows that the algorithm can well extract image edge with noise, which is clearer, and has more detailed edges compared with the previous edge detection algorithm.

A Novel Edge Detection Algorithm for Medical Image

2012 ◽  
Vol 151 ◽  
pp. 653-656
Author(s):  
Zhan Chun Ma ◽  
Xiao Mei Ning
Keyword(s):  
Edge Detection ◽  
Medical Image ◽  
Detection Algorithm ◽  
Canny Operator ◽  
Edge Detection Algorithm ◽  
Image Edge Detection ◽  
Traditional Algorithm ◽  
Image Edge ◽  
Improved Algorithm

CANNY operator had widely usage for edge detection; however it also had certain deficiencies. So the traditional CANNY operator about this is improved and puts forward a kind of new algorithm used for image edge detection. Compared improved algorithm with traditional algorithm for edge detection, simulations shows that new algorithm is more effective for image edge detection and the clearer detection result is obtained.

A Hybrid Edge Detection Method for Cell Images Based on Fuzzy Entropy and the Canny Operator

2015 ◽  
Vol 2 (2) ◽  
Author(s):  
Yuexiang Li ◽  
Siu-Yeung Cho ◽  
John Crowe
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Fuzzy Entropy ◽  
Canny Operator ◽  
Edge Detection Method
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