Image feature extraction method and device, storage medium and electronic equipment
A technology of image features and extraction methods, applied in instruments, character and pattern recognition, computer components, etc., can solve problems such as undiscovered solutions, differences in feature space similarity and similarity, and incomplete visual perception of target information, etc. , to achieve the effect of increasing richness, enhancing discrimination, and improving image classification
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0035] The method embodiment provided in Embodiment 1 of the present application may be executed in a server, a computer, or a similar computing device. Take running on the server as an example, figure 1 It is a block diagram of the hardware structure of a server in the embodiment of the present invention. Such as figure 1 As shown, the server 10 may include one or more ( figure 1 Only one is shown in ) processor 102 (processor 102 may include but not limited to processing devices such as microprocessor MCU or programmable logic device FPGA) and memory 104 for storing data. Optionally, the above-mentioned server can also be A transmission device 106 for communication functions and an input and output device 108 are included. Those of ordinary skill in the art can understand that, figure 1 The shown structure is only for illustration, and it does not limit the structure of the above server. For example, server 10 may also include figure 1 more or fewer components than sho...
Embodiment 2
[0065] In this embodiment, a device for extracting image features is also provided, which is used to implement the above embodiments and preferred implementation modes, and what has been explained will not be repeated here. As used below, the term "module" may be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
[0066] Figure 5 is a structural block diagram of an image feature extraction device according to an embodiment of the present invention, such as Figure 5 As shown, the device includes: a cutting module 50, a computing module 52, and a fusion module 54, wherein,
[0067] The cutting module 50 is used to cut the original image into supervoxels of multiple scales;
[0068] Calculation module 52, is used for calculating the supervo...
Embodiment 3
[0078] An embodiment of the present invention also provides a storage medium, in which a computer program is stored, wherein the computer program is set to execute the steps in any one of the above method embodiments when running.
[0079] Optionally, in this embodiment, the above-mentioned storage medium may be configured to store a computer program for performing the following steps:
[0080] S1, cutting the original image into supervoxels of multiple scales;
[0081] S2, calculating super-voxel features for super-voxels of each scale, and obtaining super-voxel features of multiple scales;
[0082] S3. Obtain multi-scale features of the original image based on fusion of super-voxel features of the multiple scales.
[0083] Optionally, in this embodiment, the above-mentioned storage medium may include but not limited to: U disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM) , mobile hard disk, magnet...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


