A Survey of Image Classification Methods
Download| Volume 1 Issue 1 2021 | |
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| Author(s): |
Ammara Nayab,
Ali Arshad
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| Abstract | Image classification is a complex field in image processing as noisy and blurry images are more difficult to classify. There are many techniques for classification and removal of noise however, these methods does not provide classification accuracy. In this article, analysis on problems, trends and factors and their effects on image classification is discussed. The basic purpose of this survey is to provide brief overview of image classification techniques. This survey will help the readers who wants to know about current image classification techniques. Convolutional neural network (CNN) is the one of most popular deep neural network technique. CNN gives better performance and improve classification accuracy |
| Keywords | Image Classification, convolutional networks, Semisupervised learning |
| Year | 2021 |
| Volume | 1 |
| Issue | 1 |
| Type | Research paper, manuscript, article |
| Recognized by | Higher Education Commission of Pakistan, HEC | Category | "-" | Journal Name | ILMA Journal of Technology & Software Management | Publisher Name | ILMA University | Jel Classification | B6135 | DOI | - | ISSN no (E, Electronic) | 2709-2240 | ISSN no (P, Print) | - | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | pdf/3.pdf | Page | 15-24 |