scholarly journals ANALISIS GAUSSIAN DAN EDGE CONNECTION DALAM PENAJAMAN DETEKSI TEPI MENGGUNAKAN METODE CANNY

2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Kezia Satyawati ◽  
Junius Karel Tampubolon ◽  
R. Gunawan Santosa
Keyword(s):  
Edge Detection ◽  
Data Storage ◽  
Detection Algorithm ◽  
Canny Edge Detection ◽  
Matrix Size ◽  
Edge Detecting ◽  
The Matrix ◽  
Canny Edge ◽  
Big Data Storage ◽  
Canny Edge Detection Algorithm

Edge detection is one of many ways to get information from an image without big data storage needed. In this research, the edge detecting is done by implementing Canny edge detection algorithm. The focus of this research is to analyze the effect of two variables of the first process of Canny, Gaussian filter smoothing, that is size of matrix and variance, to the sharpening of edge detection. The testing is done by changing the size of the matrix and the value of the variance. The results showed that the best matrix size and variance for sharp edge detection is less than 30x30 and 30.

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.

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

Detection of Lane-lines Using Canny Edge Detection algorithm

2020 ◽  
Vol 33 (03) ◽  
Author(s):  
AMALAPURAPU SRINAG ◽  
◽  
M RABBANI ◽  
P ASHOK BABU ◽  
◽  
...  
Keyword(s):  
Edge Detection ◽  
Detection Algorithm ◽  
Canny Edge Detection ◽  
Edge Detection Algorithm ◽  
Canny Edge ◽  
Canny Edge Detection Algorithm
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