Image feature point detection method based on the pixels of high-resolution sensors

被引:0
|
作者
Liu, Xingchun [1 ]
Wang, Zhe [1 ]
Hu, Zhipeng [1 ]
Zhang, Jiancheng [2 ]
机构
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
[2] Beijing Inst Technol, Sch Optoelect, Beijing Key Lab Precis Optoelect Measurement Inst, Beijing 100081, Peoples R China
关键词
high resolution image; feature extraction; extreme feature point; re-sampling;
D O I
10.1117/12.2075326
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Through analyzing the characteristic of high resolution image obtained by high resolution sensor when the size of sensor is fixed, a new fast feature point detecting method is put forward. Firstly, detect effective points by sampling in fixed step, which are used to filter to get extreme feature points, and realize the extraction process of extreme feature points simplified, then take points with neighborhood domain features as the description of effective points, and obtain extreme feature points through the preset threshold calculation, finally, obtain correct feature points by filtering. At last the effect of the extraction method was validated by the image matching result. And the matching result shows that image's features extracted by this method could ensure the precision and decrease the computation at the same time.
引用
收藏
页数:6
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