Image segmentation method and device, terminal equipment and storage medium

Abstract

The invention provides an image segmentation method and device, terminal equipment and a storage medium, and relates to the technical field of image processing. The image segmentation method comprises the steps of obtaining a to-be-processed image; inputting the to-be-processed image into the trained image segmentation model for processing, and outputting a segmented image; the image segmentation model is of an encoder-decoder structure, a group integration module is arranged between an encoder and a decoder which correspond to each other, the group integration module is used for extracting m pieces of compensation information of different scales from input features of the encoder and inputting the m pieces of compensation information of different scales into the decoder, and m is larger than or equal to 2. According to the image segmentation method and device, the terminal equipment and the storage medium provided by the invention, the problem that an image segmentation result of an existing image segmentation method is inaccurate can be solved to a certain extent.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular, to an image segmentation method, apparatus, terminal device and storage medium. Background technique [0002] Image segmentation technology is a technology that divides an image into several specific regions to extract specific types of objects. Image segmentation technology has been widely used in remote sensing, medicine and other fields. Taking the medical field as an example, image segmentation techniques can be used to extract the regions where organs or lesions are located in medical images to assist medical experts in making corresponding medical diagnoses. [0003] With the rapid development of deep learning technology, image segmentation methods based on deep learning have become an important image segmentation technology. In the prior art, the U-Net network model is generally used to segment images, but this network model only uses simple skip con...

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Problems solved by technology

[0004] Embodiments of the present application provide an image segmentation method, device, terminal equipment, and storage medium, which can solve the problem of inaccurate image segmentation results of existing image segmentation methods

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