Evaluation of image segmentation and multi class object recognition algorithm based on machine learning

Abstract This paper mainly updates the image segmentation and multi-target recognition algorithm through the support vector machine algorithm in ML, and verifies the reliability of the new proposed algorithm through simulation experiments, and determines that the ML-based image segmentation and mult...

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Bibliographic Details
Published in:SN applied sciences Vol. 5; no. 5; pp. 1 - 9
Main Author: Le Zhang
Format: Journal Article
Language:English
Published: Springer 01.05.2023
Subjects:
Artificial intelligence
Image processing
Image segmentation
Machine learning
Multi-target recognition
ISSN:2523-3963, 2523-3971
Online Access:Get full text
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Summary:Abstract This paper mainly updates the image segmentation and multi-target recognition algorithm through the support vector machine algorithm in ML, and verifies the reliability of the new proposed algorithm through simulation experiments, and determines that the ML-based image segmentation and multi-target recognition algorithm can have stronger processing capability in image recognition and processing. Finally, the performance of traditional image segmentation and multi class object recognition algorithms and the image segmentation and multi class object recognition algorithms proposed in this paper were compared through experiments. The results showed that the performance of the ML based image segmentation and multi class object recognition algorithms proposed in this paper has increased by 29.1% on average in all aspects.
ISSN:2523-3963
2523-3971
DOI:10.1007/s42452-023-05365-0