Study on Extraction of Image Feature Points
Feature points are an important local feature of an image. Due to the poor performance in noise endurance of traditional gray weighted centroid algorithm, an improved algorithm is proposed. By dividing the object region into inner pixel region and edge pixel region, all inner gray pixels are equalized to restrain the noise. At the same time, all feature points are marked by connectivity to improve the velocity of extraction. Finally, simulation experimental results prove that the improved algorithm can extract the feature points effectively with a better noise immunity performance.
feature points weighted centroid algorithm feature marking
Xuhu Ren Xinrong Lv
College of Information and Control Engineering China University of Petroleum (East China) Dongying 257061,China
国际会议
The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)
沈阳
英文
508-510
2010-03-27（万方平台首次上网日期，不代表论文的发表时间）