ISSN :2582-9793

A Contour-Based Feature Extraction Algorithm

Original Research (Published On: 29-Mar-2024 )
A Contour-Based Feature Extraction Algorithm
DOI : https://dx.doi.org/10.54364/AAIML.2024.41121

wenjiao liu

Adv. Artif. Intell. Mach. Learn., 4 (1):2113-2127

wenjiao liu : UC

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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


Abstract

    

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.

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