Image target area detection method and device, X-ray system and storage medium
A technology of target area and detection method, which is applied in the field of image processing, can solve the problem of low accuracy of detection method, and achieve the effect of improving detection accuracy and effect
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Embodiment 1
[0059] figure 1 It is a flow chart of the method for detecting an image target area provided by Embodiment 1 of the present invention. The technical solution of this embodiment is applicable to the detection of a target region from a grayscale image, especially the detection of a target region from an X-ray image, for example, the detection of an implant region in a mammary X-ray image. The method can be executed by the device for detecting an image target area provided by the embodiment of the present invention, and the device can be implemented in the form of software and / or hardware, and configured to be applied in a processor. The method specifically includes the following steps:
[0060] S101. Acquire an image to be detected, where the image to be detected includes a human body area.
[0061] In this embodiment, the detection of the implant area in the mammary gland image is taken as an example for illustration, so the image to be detected is a mammary gland X-ray image...
Embodiment 2
[0084] Figure 8 It is a structural block diagram of the device for detecting an image target area provided by Embodiment 2 of the present invention. The device is used to execute the method for detecting an image target area provided by any of the above embodiments, and the control device may be implemented by software or hardware. Such as Figure 8 As shown, the device includes:
[0085] An image acquisition module 11, configured to acquire an image to be detected, the image to be detected includes a human body area;
[0086] The graph obtaining module 12 is used to obtain the graph of the human body region based on the Gaussian weighted Otsu method, and the graph is used to represent the relationship between the pixel gray value and the Gaussian weighted inter-class variance corresponding to the pixel gray value ;
[0087] An effective peak determination module 13, configured to determine an effective peak in the graph and a pixel gray value corresponding to the effecti...
Embodiment 3
[0094] Figure 9 It is a structural block diagram of the medical imaging system provided by Embodiment 3 of the present invention. Such as Figure 9 As shown, the system includes a projection data acquisition device 2 and a computer device 3. The image acquisition device 1 is used to obtain medical image data of a target site of a test subject containing a foreign body; the computer device 3 is connected to the projection data acquisition device 2, such as Figure 10 As shown, the computer device 3 includes a processor 301, a memory 302, an input device 303, and an output device 304; the number of processors 301 in the computer device 3 may be one or more, Figure 10 Take a processor 301 as an example; the processor 301, memory 302, input device 303 and output device 304 in the computer device 3 can be connected by bus or other methods, Figure 10 Take connection via bus as an example.
[0095] The memory 302, as a computer-readable storage medium, can be used to store soft...
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