Title: Texture feature extraction of a landscape design image based on the contour wave transform

Authors: Wenya Li

Addresses: School of Fine Arts and Art Design, Henan Vocational University of Science and Technology, Zhoukou, 466000, China

Abstract: In order to optimise the landscape design, this study takes the contour wave transform as the core research object, deeply explores its filter setting and action mechanism, and applies it to the extraction of image texture features of landscape design. The results show that when the number of degraded distortion trend feature points is only 100, the feature extraction accuracy of the algorithm has almost reached 90% and continues to improve with the increase of the number of feature points, which is always much higher than other algorithms. This shows that the texture feature extraction of the landscape design image based on the contour wave transform has strong robustness. The algorithm has good application effects on the recognition and extraction of target image features and the evaluation and analysis of image quality. When mixing all image distortion types, it can obtain better extraction and evaluation results.

Keywords: contour wave transform; gardens; landscape design; image; texture features; extract.

DOI: 10.1504/IJDS.2023.129456

International Journal of Data Science, 2023 Vol.8 No.1, pp.39 - 51

Received: 16 Jun 2022
Accepted: 24 Aug 2022
Published online: 09 Mar 2023 *