ISSN :2582-9793
wenjiao liu
Adv. Artif. Intell. Mach. Learn., 4 (1):2113-2127
wenjiao liu : UC
DOI: https://dx.doi.org/10.54364/AAIML.2024.41121
Article History: Received on: 18-Jan-24, Accepted on: 23-Mar-24, Published on: 29-Mar-24
Corresponding Author: wenjiao liu
Email: liu2wo@mail.uc.edu
Citation: Wenjiao liu and Anca Ralescu (2024). A Contour-Based Feature Extraction Algorithm. Adv. Artif. Intell. Mach. Learn., 4 (1 ):2113-2127
Human body classification recognition is a common problem in computer vision. Currently, most artificial intelligence methods are dependent on the scale of the extracted feature values from the target images during classification, thereby limiting the image size. However, in image recognition, the object's contour alone is sufficient for humans to distinguish image content. This paper proposes a feature extraction algorithm based on image contours. By utilizing only the contour features of the target image and combining them with deep learning algorithms for classification, it achieves good results even on relatively complex images.