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20 October 2022 A review of traditional image segmentation methods
Ji Qi, Haitao Yang, Zhou Kong
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Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124511P (2022) https://doi.org/10.1117/12.2656653
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China
Abstract
Image segmentation is an important branch in the field of artificial intelligence and an important part of image understanding in machine vision technology. Based on computer vision, this paper makes a classification study on image segmentation technology, including the basic method of image segmentation, image edge detection algorithm and the application of connected area analysis, area growth, watershed and other algorithmic ideas to achieve image segmentation. In the basic method of image segmentation, the adaptive segmentation method and otsu method processing effect and processing range are better, in image edge extraction, the canny operator processing effect is obviously higher than other operators.
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Ji Qi, Haitao Yang, and Zhou Kong "A review of traditional image segmentation methods", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124511P (20 October 2022); https://doi.org/10.1117/12.2656653
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KEYWORDS
Image segmentation
Image processing
Image processing algorithms and systems
Edge detection
Feature extraction
Detection and tracking algorithms
Image filtering
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