Welcome to Francis Academic Press

Academic Journal of Computing & Information Science, 2023, 6(6); doi: 10.25236/AJCIS.2023.060604.

Research on Computer Vision Image Classification

Author(s)

Shiqin Wang

Corresponding Author:
Shiqin Wang
Affiliation(s)

School of Computer Engineering, Anhui Sanlian University, Hefei, 230601, China

Abstract

Computer vision image classification is an important research direction in the field of computer vision, which aims to classify images into different categories for more effective processing. With the continuous increase of image data, how to effectively classify and organize this data has become a persistent issue. This article introduces the research process, methods, applications, and future development trends of computer vision image classification in detail.

Keywords

computer Vision Image; classification; applications

Cite This Paper

Shiqin Wang. Research on Computer Vision Image Classification. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 6: 26-30. https://doi.org/10.25236/AJCIS.2023.060604.

References

[1] K. Simonyan, A. Zisserman, "Very Deep Convolutional Networks for Large-Scale Image Recognition", arXiv preprint arXiv: 1409. 1556, 2014. 

[2] R. Girshick, J. Donahue, T. Darrell, J. Malik, "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation", arXiv preprint arXiv: 1311. 2524, 2013. 

[3] A. Krizhevsky, I. Sutskever, G. Hinton, "ImageNet Classification with Deep Convolutional Neural Networks", Advances in Neural Information Processing Systems 25, 2012. 

[4] J. Deng, W. Dong, R. Socher, L. -J. Li, K. Li, L. Fei-Fei, "ImageNet: A Large-Scale Hierarchical Image Database", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. 

[5] M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, A. Zisserman, "The Pascal Visual Object Classes (VOC) Challenge", International Journal of Computer Vision, 88(2), 2010. 

[6] R. L. Duda, P. E. Hart, D. G. Stork, "Pattern Classification", 2nd ed. , John Wiley & Sons, 2001. 

[7] C. M. Bishop, "Pattern Recognition and Machine Learning", Springer, 2006. 

[8] S. Haykin, "Neural Networks and Learning Machines", 3rd ed., Pearson, 2009. 

[9] S. Theodoridis, K. Koutroumbas, "Pattern Recognition", 4th ed., Academic Press, 2009.