Combined method and system for extracting and classifying features of images
An image feature extraction and classifier technology, which is applied in the field of computer vision and image recognition, can solve the problems of not considering classification errors, low classification accuracy of feature extraction effectiveness, and inability to ensure that neighbors maintain features, etc.
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[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0048] see figure 1 It shows a combined method of image feature extraction and classification disclosed by an embodiment of the present invention.
[0049] Depend on figure 1 It can be seen that the method includes:
[0050] S11: Obtain the neighbor samples of the training samples, construct the neighbor graph, and calculate the reconstruction coefficient matrix of the training samples.
[0051] Optionally, the method of the present invention adopts a K-nea...
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