Research on image segmentation and edge detection technology based on computer vision

With the continuous development of computer vision technology, image segmentation technology and edge detection technology are becoming more and more mature. Firstly, this paper simulates the fixed threshold method and adaptive threshold method in image segmentation, and concludes that the fixed thr...

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Bibliographic Details
Published in:Journal of physics. Conference series Vol. 1994; no. 1; pp. 12035 - 12040
Main Authors: Qi, Ji, Yang, HaiTao
Format: Journal Article
Language:English
Published: Bristol IOP Publishing 01.08.2021
Subjects:
Algorithms
Computer vision
Edge detection
Image detection
Image segmentation
Target recognition
ISSN:1742-6588, 1742-6596
Online Access:Get full text
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Summary:With the continuous development of computer vision technology, image segmentation technology and edge detection technology are becoming more and more mature. Firstly, this paper simulates the fixed threshold method and adaptive threshold method in image segmentation, and concludes that the fixed threshold method is applicable to images with obvious targets and backgrounds, and the adaptive threshold method is applicable to images with uneven distribution of light and dark, and secondly, the comparative experiment and result evaluation of edge detection of images by Sobel operator and Canny operator are used to conclude that the Sobel algorithm is more accurate in positioning edges, while Canny algorithm image edge information is more continuous and single edge response is better. Its edge detection is also better.
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1994/1/012035