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Image Segmentation Method, Device and Computing Equipment Based on Adaptive Threshold

An adaptive threshold and image segmentation technology, applied in the field of image processing, can solve the problems of poor segmentation effect, low segmentation accuracy of image scene segmentation, and low segmentation accuracy of image segmentation results, so as to optimize the processing method, improve the segmentation accuracy and processing efficiency. Effect

Active Publication Date: 2021-07-23
BEIJING QIHOO TECH CO LTD
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Problems solved by technology

However, the existing image segmentation method does not consider the proportion of the foreground image in the image to be processed when performing scene segmentation processing, so when the proportion of the foreground image in the image to be processed is small, the existing image segmentation method It is easy to divide the pixels that actually belong to the edge of the foreground image into the background image, and the resulting image segmentation results have low segmentation accuracy and poor segmentation effect
Therefore, the image segmentation method in the prior art has the problem of low segmentation accuracy of image scene segmentation

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  • Image Segmentation Method, Device and Computing Equipment Based on Adaptive Threshold
  • Image Segmentation Method, Device and Computing Equipment Based on Adaptive Threshold
  • Image Segmentation Method, Device and Computing Equipment Based on Adaptive Threshold

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[0052] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0053] figure 1 A schematic flow diagram showing an image segmentation method based on an adaptive threshold value according to an embodiment of the present invention, as figure 1 As shown, the method includes the following steps:

[0054] Step S100, acquiring an image to be processed containing a specific object.

[0055] Wherein, the image to be processed is an image that the user wants to perform scene segmentation, and the im...

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Abstract

The invention discloses an image segmentation method, device, computing device and computer storage medium based on an adaptive threshold. The method includes: acquiring an image to be processed containing a specific object; performing scene segmentation processing on the image to be processed to obtain a According to the foreground probability information, the proportion of the foreground area is determined; according to the proportion of the foreground area, the foreground probability information is mapped to obtain the image segmentation result. The technical solution provided by the present invention maps the foreground probability information according to the proportion of the foreground area, realizes the adaptive mapping of the foreground probability information, and uses the mapped foreground probability information to quickly and accurately obtain the image corresponding to the image to be processed Segmentation results can effectively improve the segmentation accuracy and processing efficiency of image scene segmentation.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image segmentation method, device, computing device and computer storage medium based on an adaptive threshold. Background technique [0002] In the prior art, when the user needs to perform personalized processing such as changing the background of the image to be processed, adding special effects, etc., the image segmentation method is often used to perform scene segmentation processing on the image to be processed. Among them, the image segmentation method based on deep learning can achieve Pixel-level segmentation effects. However, the existing image segmentation method does not consider the proportion of the foreground image in the image to be processed when performing scene segmentation processing, so when the proportion of the foreground image in the image to be processed is small, the existing image segmentation method It is easy to divide the pixels ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/136G06T7/194
CPCG06T2207/10004G06T2207/20221G06T7/136G06T7/194
Inventor 赵鑫邱学侃颜水成
Owner BEIJING QIHOO TECH CO LTD