Volume 11 - Volume 11
Gradient Based Edge Detection of Traffic Image using Second Derivative Method Compared with First Derivative Method
Abstract
Aim: To detect traffic images using Gradient based edge detection by Second derivative method
compared with First derivative method. Materials and materials: A second derivative method is used
in this study. Canny algorithm is the edge detection technique used in traffic images. With the help of
this traffic has been detected in the images.26 is the sample size taken with p-value 0.8 and has been
used to improve detection rate of Gradient based in terms of accuracy and sensitivity using better
skewness. Result: According to the results obtained the Second derivative method has Accuracy
88.6% and Sensitivity is 83.4% compared with the accuracy of First derivative method has accuracy
83.22% and also sensitivity is 78.5%. It appears to be Accuracy (0.134) and Sensitivity (0.286) of the
second derivative method compared with the First derivative method. Conclusion: it appears to be
that the detection rate is better using a Second derivative method compared with the First derivative
method in terms of Accuracy and Sensitivity.
Paper Details
PaperID: 2173
Author's Name: K. Srinivasulu and S. Premkumar
Volume: Volume 11
Issues: Volume 11
Keywords: First Derivative Method, Image Processing, Novel Edge Detection Method, Second Derivative Method.
Year: 2021
Month: June
Pages: 1126-1137