Image retrieval method and image retrieval device based on image characteristics
An image retrieval and image feature technology, applied in the field of image recognition, can solve problems such as the reduction of SIFT feature resolution, and achieve the effect of improving image retrieval performance, good technical effects, and improved resolution.
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Embodiment 1
[0048] The present invention is described in detail below in conjunction with accompanying drawing;
[0049] in, figure 1 is a schematic flow chart of the image retrieval method based on image features of the present invention;
[0050] like figure 1 As shown, the method includes the following steps:
[0051] S101: extracting SIFT feature points and MSER regions of the image, and obtaining all SIFT feature points included in the same MSER region;
[0052] Specifically, in this embodiment, include:
[0053] 1) Carry out all SIFT feature extractions on the image to be matched, and extract all SIFT feature points of the image, wherein, according to the prior art, the SIFT feature of each SIFT feature point is a 128-dimensional feature vector;
[0054] At the same time, in this step, the main direction and main scale of the SIFT feature point are also extracted, wherein these two parameters are important information of the SIFT feature point in the scale space and the surround...
Embodiment 2
[0068] The present invention will be described in further detail below in conjunction with specific examples.
[0069] in, figure 2 It is a schematic flow chart of a specific embodiment of the present invention.
[0070] like figure 2 Said, in this embodiment, the method specifically includes:
[0071] S201: Perform SIFT feature extraction on the query image, and extract all SIFT feature points of the image, wherein each of the SFT features of these SIFT feature points has a 128-dimensional vector, and obtain the quantized SIFT feature points. Direction and main scale, for example, for a certain SIFT feature point, record the main scale as S, and the main direction as
[0072] S202: Quantize the SIFT feature points to extract quantized SIFT features, the quantized SIFT features are some one-dimensional feature information, therefore, it can solve the problem caused by taking 128-dimensional SIFT features Computational problems, improve the speed of image retrieval.
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Abstract
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