新疆师范大学学报（自然科学版）2026，Vol.45Issue(2)：71-78,8.
基于纹理特征的SUSAN图像边缘检测
SUSAN Image Edge Detection based on Texture Features
摘要
Abstract
To adapt to cherry images with different morphological characteristics and effectively capture the edges of cherry images,in this paper,a modified SUSAN edge detection algorithm combining texture information is proposed,leveraging the characteristic that texture information is more universal than grayscale information.Firstly,after binarizing the image,the texture features are extracted.Next,the SUSAN operator is applied to traverse the feature map to detect and extract the object edges.Finally,comparative analysis is conducted through simulation experiments to evaluate the performance of the algorithm before and after improvement.The results show that the improved edge detection method effectively captures the edges of the cherry images while preserving fine details,demonstrating strong robustness.The proposed algorithm outperforms other methods in terms of detection performance.关键词
樱桃图像/SUSAN算法/纹理特征/边缘检测Key words
Cherry images/SUSAN algorithm/Texture features/Edge detection分类
信息技术与安全科学引用本文复制引用
刘勍,何秉蔚,吴忠啸,亓开,马小姝,魏凯斌..基于纹理特征的SUSAN图像边缘检测[J].新疆师范大学学报（自然科学版）,2026,45(2):71-78,8.基金项目
甘肃省科技计划项目(25JRRE004 （）
23JRRE0740) （）
天水市秦州区科技计划项目(2023-SHFZG-6497) （2023-SHFZG-6497）
天水师范学院研究生创新引导项目(TYCX2330 （）
TYCX2331). （）
