Combination of Canny Edge Detection and Blob Processing Techniques for Shrimp Larvae Counting

2019 ◽  
Author(s):  
E.A Awalludin ◽  
M.Y Mat Yaziz ◽  
N.R Abdul Rahman ◽  
W.N.J.H.W Yussof ◽  
M.S Hitam ◽  
...  
Keyword(s):  
Edge Detection ◽  
Canny Edge Detection ◽  
Canny Edge ◽  
Processing Techniques

Comparison between mathematical morphology and Canny Edge Detection methods for image post processing techniques in segmenting microcalcification

2018 ◽  
Author(s):  
Aminah Abdul Malek ◽  
Ummu Mardhiah Abdul Jalil ◽  
Dayangku Nur Faizah Pg Mohamad ◽  
Nurul Ain Muhamad ◽  
Sharifah Syafiyah Syed Hashim
Keyword(s):  
Edge Detection ◽  
Mathematical Morphology ◽  
Detection Methods ◽  
Post Processing ◽  
Canny Edge Detection ◽  
Canny Edge ◽  
Processing Techniques

Measuring the Dimensions of Mechanical Component using Image Processing Techniques

2017 ◽  
Vol 7 (9) ◽  
pp. 65
Author(s):  
Dipti Nilesh Aswar
Keyword(s):  
Edge Detection ◽  
Hough Transform ◽  
Detection Technique ◽  
Circle Detection ◽  
Canny Edge Detection ◽  
Depth Measurement ◽  
Mechanical Component ◽  
Canny Edge ◽  
Processing Techniques ◽  
Real Time Application

This paper introduces automated process for measuring the dimensions of mechanical component. The proposed method includes image pre-processing techniques, edge detection technique, hough transform technique for circle detection and stereo vision concept is used for hole depth measurement of mechanical component. In practical, there are many factors which affects the measurement result. Noise may play key role. In order to eliminate noise effect on measurement Gaussian filtering algorithm is used. Then canny edge detection technique is used for edge detection, which helps to improve the accuracy of the result. For hole diameter measurement first we have to find out the circular shape and for circle identification we are using Hough transform technique. We are going to calculate the depth of hole by using the elevation by parallax technique. This proposed method is used for specific type of component. But in future this method can be applied for many type of real time application.

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.

Canny edge detection enhancement by general auto-regression model and bi-dimensional maximum conditional entropy

Optik ◽  
2014 ◽  
Vol 125 (15) ◽  
pp. 3946-3953 ◽  
Author(s):  
Fei Hao ◽  
Jinfei Shi ◽  
Zhisheng Zhang ◽  
Ruwen Chen ◽  
Songqing Zhu
Keyword(s):  
Edge Detection ◽  
Regression Model ◽  
Conditional Entropy ◽  
Canny Edge Detection ◽  
Canny Edge ◽  
Detection Enhancement ◽  
Auto Regression
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