Tencent Technology (Shenzhen) Company Limited

Tencent Technology Company Limited

Baochang Han

Xiao Han

Yong Jun Chen

Peng Yang

Jingwen Ye

This application relates to an image acquisition method and apparatus, a device, and a storage medium, and relates to the field of image processing technologies. The method includes obtaining a first image, the first image being an image acquired by controlling an exposure time of an image acquisition component according to a brightness reference value; obtaining an exposure state of the first image; updating the brightness reference value according to the exposure state of the first image, to obtain an updated brightness reference value; controlling the exposure time of the image acquisition component according to the updated brightness reference value; and acquiring a second image.

Image acquisition method and apparatus, device, and storage medium

A method comprises obtaining a pathology image set using a microscope, the pathology image set including at least a to-be-evaluated image and one or more associated images, the associated images and the to-be-evaluated image are consecutive frame images acquired using the microscope. The method comprises determining a first status corresponding to the to-be-evaluated image according to the pathology image set, the first status being used for indicating a motion change of the to-be-evaluated image during the acquisition and the first status includes a plurality of predefined states. The method comprises in accordance with a determination that the first status corresponds to a static state of the plurality of predefined states, determining a second status corresponding to the to-be-evaluated image, the second status indicating a change in image clarity of the to-be-evaluated image. This application further discloses an image status determining apparatus, a device, and a computer storage medium.

Image status determining method an apparatus, device, system, and computer storage medium

Embodiments of the present disclosure provide an image processing method based on artificial intelligence (AI) and an image processing system. The method includes: obtaining a feature recognition result of an image by performing image processing on the image to recognize a feature of the image and the image being obtained by performing image acquisition on a section of a patient using a digital slide scanner to generate a whole slide image (WSI) as the image; determining an imaging area of the section within a field of view of an eyepiece of a microscope with which real-time imaging is performed on the section; determining, within the image, an image area corresponding to the imaging area of the section and acquiring, from the feature recognition result of the image, a target feature recognition result of the image area; and superimposing the target feature recognition result on the imaging area of the section.

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Shenzhen, China

Baochang Han