Hyperspectral image corner detection method and system
A hyperspectral image and corner detection technology, which is applied in image analysis, image enhancement, image data processing, etc., can solve the problems that hyperspectral images cannot be used
Active Publication Date: 2015-12-09
SHENZHEN UNIV
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[0007] The technical problem to be solved by the present invention is to provide a hyperspectral image corner detection method and system, aiming to solve the problem that the current Harris corner detection method can only be used for grayscale images or video images but not for hyperspectral images , improving the effect of hyperspectral image pattern recognition
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[0110] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0111] When performing hyperspectral Harris corner detection, it is possible to detect whether a point is a Harris corner by judging the correlation between a point in the hyperspectral image and its neighborhood; specifically, if the correlation between a point and its neighborhood is small, That is, within its neighborhood, if the gray level of the image changes greatly, then the point is a Harris corner point; otherwise, it is not a corner point. However, in fact, the degree of correlation between a certain point and its neighbors cannot be well measured. Therefore, the present invention starts ...
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The invention relates to the field of corner detection, and provides a hyperspectral image corner detection method and a system. The method comprises following steps of A constructing a weighing correlation function of a certain point p0 and a point p1 in the neighborhood of the p0 in a hyperspectral image f (x, y, z); B constructing a corner responding function according to the weighing correlation function; C calculating the Harris corner responding value of the certain point p0 and the Harris corner responding values of all points in the neighborhood of the p0 in the hyperspectral image f (x, y, z) according to the corner responding function; D determining the certain point p0 to be the Harris corner of the hyperspectral image f (x, y, z) if the Harris corner responding value of the certain point p0 is larger than the Harris corner responding values of all points in the neighborhood of the p0 in the hyperspectral image f (x, y, z). According to the invention, key information of the hyperspectral image can be obtained, so the hyperspectral image can be well analyzed, and pattern recognition effects of the hyperspectral image can be improved.
Description
technical field [0001] The invention belongs to the field of corner point detection, and in particular relates to a hyperspectral image corner point detection method and system. Background technique [0002] In recent years, hyperspectral images have been widely used in many fields, including remote sensing, machine vision, artificial intelligence, medicine, astronomy, etc. Different from gray-scale images and color images, hyperspectral images are superimposed by images of multiple bands such as visible light, near-infrared, short-wave infrared, mid-wave infrared, and thermal infrared. Therefore, hyperspectral images can provide more information than grayscale and color images. Feature extraction is a common method of image analysis. However, the existing hyperspectral image feature extraction method is not yet mature. Feature extraction cannot solve more complex target recognition and segmentation problems. [0003] The local feature of the image is an important feature...
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Login to View More IPC IPC(8): G06T7/00
CPCG06T7/00G06T7/0008G06T2207/10036G06T2207/30108
Inventor 李岩山石伟谢维信张勇
Owner SHENZHEN UNIV