A Harris Corner Detection Algorithm for Multispectral Images Based on the Correlation

The feature analysis plays a more and more important role in the processing of multispectral images, and it is good at acquiring the key information of images. The Harris corner is an important local feature, and it has been generally applied in the processing and analysis of images. However, the existing Harris corner detection algorithms are mainly applied in gray and color images. Therefore, based on the traditional Harris corner detection algorithm for two-dimensional images, this paper develops a Harris corner detection algorithm for three-dimensional multispectral images to acquire the key information of multispectral images. The experimental results show that the proposed Harris corner detection algorithm can detect Harris corners of multispectral images efficiently. These corners are some points that have significant variations both in spatial domain and spectral domain.