Abstract
In order to solve the defects of single calculation direction, inaccurate positioning and poor edge connectivity in traditional
Sobel operator image edge detection, this paper proposes an image edge detection algorithm that combines Butterworth high-pass fil-
tering and improved Sobel operator, and uses the combination of the two techniques to perform edge detection and feature extraction
on images. Firstly, the image is pre-processed by the Butterworth high-pass filter, then the improved Sobel operator that adds six -
direction templates is used to the traditional Sobel operator for edge detection. Through experimental simulation, compared with the
traditional algorithm, this algorithm has the following advantages: prominent edge, good connectivity, low sensitivity to noise, high
positioning accuracy.
Key words
Butterworth /
feature extraction /
edge detection /
Sobel operator
王壵壵 李竹.
基于巴特沃斯滤波的改进型Sobel算子边缘检测[J]. 电脑与电信. 2020, 1(8): 19-22
WANG Zhuang-zhuang LI Zhu.
Improved Sobel Edge Detection Operator Based on Butterworth Filter[J]. Computer & Telecommunication. 2020, 1(8): 19-22
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