Image instance segmentation method and apparatus
An image, to-be-segmented technology, applied in the field of image processing, can solve the problem of inaccurate segmentation contours, and achieve the effect of solving the inaccurate segmentation contours and improving accuracy
Active Publication Date: 2022-03-08
郑州阿帕斯科技有限公司
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[0004] The purpose of an embodiment of this specification is to provide a method and device for image instance segmentation to solve the problem that the segmentation contour is not accurate enough when the existing image instance segmentation model is used for image instance segmentation
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[0030] The technical solutions in one or more embodiments of this specification will be clearly and completely described below in conjunction with the drawings in one or more embodiments of this specification.
[0031] The purpose of one embodiment of this specification is to provide a method and device for image instance segmentation, so as to solve the problem of inaccurate segmentation contours when image instance segmentation is performed by existing image instance segmentation models. The image instance segmentation method provided by an embodiment of this specification can be applied to and executed by a mobile terminal, and of course, can also be applied and executed by a server.
[0032] figure 1 A schematic flow chart of an image instance segmentation method provided for an embodiment of this specification, such as figure 1 As shown, the process includes the following steps:
[0033] Step S102, acquiring the image to be segmented, inputting the image to be segmented...
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An embodiment of this specification provides a method and device for image instance segmentation, wherein the method includes: obtaining the image to be segmented and inputting it into the image instance segmentation model, and extracting the features of the image to be segmented through the image feature extraction module in the image instance segmentation model And generate the first feature image and the second feature image; through the classification and positioning module in the image instance segmentation model, determine the instance object in the image to be segmented according to the first feature image, and determine the category and position of the instance object; through image instance segmentation The first mask image generation module in the model generates the background mask image, the foreground mask image and the transition zone mask image corresponding to the instance object according to the second feature image; it is generated by the second mask image in the image instance segmentation model A module for generating an instance segmentation mask image corresponding to the instance object according to the second feature image, the background mask image, the foreground mask image and the transition zone mask image.
Description
technical field [0001] This document relates to the field of image processing, in particular to an image instance segmentation method and device. Background technique [0002] In the prior art, images can be instance-segmented through various existing image instance segmentation models. Instance segmentation refers to identifying the category, position and pixel range of each instance object in the image, and then dividing The instance object is extracted, wherein the instance object includes but not limited to person, item and so on. [0003] However, when using the existing image instance segmentation model to segment an image, because the instance segmentation model can only extract the foreground mask image and background mask image corresponding to the instance object, it fails to pay attention to the relationship between the background and the foreground of the instance object. Therefore, it often has the problem that the segmentation contour is not accurate enough. ...
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IPC IPC(8): G06V10/26G06V10/74G06V10/774G06V10/82G06K9/62G06N3/04
CPCG06V10/267G06N3/045G06F18/22G06F18/214
Inventor 李涛
Owner 郑州阿帕斯科技有限公司