Foreground target extraction method and apparatus, device and storage medium
A technology of target extraction and prospect, applied in image data processing, instrumentation, calculation, etc., can solve problems such as instability, increase algorithm difficulty, and cannot be applied to complete extraction, and achieve the effect of complete extraction.
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Embodiment 1
[0023] figure 1 It is a flowchart of a method for extracting foreground objects provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of extracting foreground objects in images. The method can be executed by a foreground object extraction device, which can be controlled by software and / or hardware, the device can be integrated in a computer, and the method specifically includes the following steps:
[0024] S110. Acquire a non-foreground target image and a foreground target image obtained by shooting the same area under the same environment.
[0025] Among them, the camera can be used to collect images in the same environment to obtain a non-foreground target image and a foreground target image taken in the same area. The images can be grayscale images or color images, and there is no limitation here . No foreground target image can be denoted as f A and the foreground target image can be denoted as f B . The same environment ca...
Embodiment 2
[0050] figure 2 It is a schematic structural diagram of a foreground object extraction device provided in Embodiment 2 of the present invention. The device can execute any foreground object extraction method provided in the embodiment of the present invention. The device can be implemented by software and / or hardware, and the device can be integrated In a computer, the device includes:
[0051] An image acquisition module 210, configured to acquire a non-foreground target image and a foreground target image obtained by shooting the same area in the same environment;
[0052] A model building module 220, configured to initialize an objective function, and construct a full variation model according to the foreground target image, the foreground target image and the objective function;
[0053] A function solving module 230, configured to iteratively update the objective function, solve the total variational model, and obtain an optimal objective function;
[0054] The foregro...
Embodiment 3
[0069] image 3 It is a schematic structural diagram of a computer device provided in Embodiment 3 of the present invention. image 3 A block diagram of an exemplary computer device 12 suitable for implementing embodiments of the invention is shown. image 3 The computer device 12 shown is only an example, and should not impose any limitation on the functions and scope of use of the embodiments of the present invention.
[0070] like image 3 As shown, computer device 12 takes the form of a general-purpose computing device. Components of computer device 12 may include, but are not limited to: one or more processors or processing units 16 , system memory 28 , bus 18 connecting various system components including system memory 28 and processing unit 16 .
[0071] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus...
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