Image area correction method, device and equipment and storage medium

A technology of image area and correction method, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of long detection time and unsatisfactory detection accuracy of lung area contour.

Pending Publication Date: 2020-09-04
WEBANK (CHINA)
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  • Abstract
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Problems solved by technology

[0003] The main purpose of the present invention is to provide an image area correction method, device, equipment and storage medium

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  • Image area correction method, device and equipment and storage medium
  • Image area correction method, device and equipment and storage medium
  • Image area correction method, device and equipment and storage medium

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Embodiment Construction

[0022] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0023] It should be noted that the image area correction device in this embodiment of the present invention may be a smart phone, a personal computer, a server, etc., and no specific limitation is set here.

[0024] An embodiment of the present invention provides an image region correction method, which is used to detect the lung region contour in the lung image, where the lung region contour refers to the boundary contour of the lung region in the lung image, that is, to determine the lung region contour in the lung image. The boundary location of the region. The execution subject of this method can be any image processing device. For example, the image area correction method can be executed by a terminal device or a server, where the terminal device can be a user equipment (User Equipment, UE), a mobile device, a us...

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Abstract

The invention discloses an image region correction method and device, equipment and a storage medium, and the method comprises the steps: obtaining the image features of all layers of images in a lungimage, and the lung image comprises a multi-layer superposed image; performing correction processing on the lung image by using associated features between optimized features of adjacent layers of images in the lung image, and obtaining a lung region contour of the lung image based on the corrected lung image; and obtaining a set lung area contour, and correcting the lung area contour by using the set lung area contour to obtain a corrected lung area contour. According to the invention, the lung region contour detection precision can be improved, and the lung image region detection time can be shortened.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an image area correction method, device, equipment and storage medium. Background technique [0002] At present, the adaptive threshold method binarization is generally used for lung region contour detection. In fact, lung images are usually multi-layered, and the contour changes of the lung image are determined by the region boundaries of the multi-layer images, and lung region boundaries may produce lesions, and even the region where the lung region boundary and the inner wall of the chest cavity produce adhesions. The adaptive threshold method binarizes the lung region contour to detect the lung region contour, which will result in incomplete and accurate detection of the lung region contour, which will cause the detection accuracy of the lung region contour to be unsatisfactory or low, and the detection time will be longer. Contents of the invention ...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06T7/136G06T7/62G06T7/00G06T5/00G06T5/50G06N3/04G06N3/08
CPCG06T7/13G06T7/136G06T7/62G06T7/0012G06T5/006G06T5/50G06N3/08G06T2207/10081G06T2207/20221G06T2207/20081G06T2207/30061G06N3/045
Inventor 李月蔡杭
Owner WEBANK (CHINA)
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