US Patent Application 17829658. METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR IMAGE SEGMENTATION simplified abstract

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METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR IMAGE SEGMENTATION

Organization Name

Dell Products L.P.


Inventor(s)

Zijia Wang of WeiFang (CN)


Jiacheng Ni of Shanghai (CN)


Zhen Jia of Shanghai (CN)


METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR IMAGE SEGMENTATION - A simplified explanation of the abstract

  • This abstract for appeared for US patent application number 17829658 Titled 'METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR IMAGE SEGMENTATION'

Simplified Explanation

This abstract describes a method, electronic device, and computer program for image segmentation. The method involves using a trained image segmentation model to process an image containing objects from different categories. The method selects a category to discard based on a pre-determined recall rate for each category. The image is then processed using the remaining categories to obtain a segmented image. This method aims to reduce computing resources, decrease the amount of image data processed, and increase image processing speed.


Original Abstract Submitted

Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for image segmentation. The method may be executed by a trained image segmentation model. The method includes: obtaining a to-be-processed image, wherein the to-be-processed image includes objects of a plurality of categories. The method further includes: selecting a to-be-discarded category in the to-be-processed image according to a recall rate of each of the plurality of categories obtained in advance. The method further includes: processing the to-be-processed image based on a plurality of remaining categories in the plurality of categories other than the to-be-discarded category to obtain a segmented image. Through the method, computing resources required for a segmentation processing task can be greatly reduced, a processing amount of image data can be reduced, and an image processing speed can be increased.