A method for image feature extraction
An image feature extraction and image technology, applied in the field of image processing, can solve the problems of real-time performance that cannot meet the requirements of large-scale databases, difficulty in obtaining high-quality, fine-grained segmentation results, etc., to improve recognition effects, compress storage space, and image segmentation precise effect
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[0023] Such as figure 1 As shown, it is a flow chart of an image feature extraction method in Embodiment 1 of the present invention, and the method includes:
[0024] Perform background modeling on the image to extract the foreground image of the image;
[0025] Perform color normalization processing on the foreground image;
[0026] Using a segmentation algorithm to segment the normalized image into multiple blob sub-regions;
[0027] Extract the color and position features corresponding to each blob sub-region.
[0028] In the embodiment of the present invention, cameras at different points extract video signals in real time, transmit them to the feature extraction server, and continuously extract color features;
[0029] When the feature extraction server receives each frame of video image, it establishes and updates the background model, extracts the foreground object at the same time, and then performs color normalization processing on the obtained foreground image, an...
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