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Product Shape Detection Method Based on Computer Image Recognition

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DOI: 10.23977/jipta.2023.060103 | Downloads: 20 | Views: 579

Author(s)

Guo Li 1

Affiliation(s)

1 Department of Journalism and Communication, Anhui Vocational College of Press and Publishing, Hefei Anhui, 230601, China

Corresponding Author

Guo Li

ABSTRACT

Compared with image recognition technology, product modeling detection in computer vision image recognition is a more complex problem, because image classification only needs to determine the general types of images, but there may be multiple processing objects in product modeling, so all object objects must be classified and located. Therefore, product shape detection and classification is more complex than image recognition. In this paper, several modeling recognition methods based on depth learning are studied, and a target shape recognition method based on computer vision is proposed. This method uses chain code method to determine the product shape, distinguish the subtle differences of product shape, and determine the deformation detection of product shape.

KEYWORDS

Computer, Image recognition, Product modeling

CITE THIS PAPER

Guo Li, Product Shape Detection Method Based on Computer Image Recognition. Journal of Image Processing Theory and Applications (2023) Vol. 6: 33-40. DOI: http://dx.doi.org/10.23977/jipta.2023.060103.

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