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Object recognition method and device and storage medium

An object, target object technology, applied in the computer field, can solve problems such as easy to produce misrecognition

Active Publication Date: 2019-08-23
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide an object recognition method, device, and storage medium to at least solve the technical problem of easy misidentification caused by the existing object recognition method relying on the rationality of image block segmentation

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  • Object recognition method and device and storage medium
  • Object recognition method and device and storage medium

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Embodiment Construction

[0019] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0020] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention discloses an object recognition method and device and a storage medium. The method comprises: preprocessing a target image to obtain a preprocessed image, wherein the preprocessed imagecomprises three-dimensional image information of a target part of a to-be-detected object; processing the three-dimensional image information by using a target data model to obtain a target probability that a target object in a target part of the to-be-detected object is abnormal; and determining an identification result of the target part of the to-be-detected object according to the target probability, the identification result being used for indicating the probability that the target part of the to-be-detected object is abnormal. The technical problem that due to the fact that an existing object recognition mode depends on rationality of image block segmentation, mistaken recognition is prone to being generated is solved.

Description

technical field [0001] The present invention relates to the field of computers, in particular to an object recognition method and device and a storage medium. Background technique [0002] At present, to identify whether the lung nodules of lung cancer patients are invasive (whether cancer metastasis occurs), traditional machine learning algorithms are usually used: cutting the image into image blocks, and identifying whether there are lung nodules in the cut image blocks. benign and malignant nodules, and to identify the infiltration of malignant pulmonary nodules. [0003] However, the above-mentioned object recognition method depends on the rationality of image block segmentation. Due to the uncertainty of the location of the pulmonary nodule, the above-mentioned object recognition method is prone to misidentification. [0004] For the above problems, no effective solution has been proposed yet. Contents of the invention [0005] Embodiments of the present invention p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06V10/32G06V10/764
CPCG06T7/0012G06T2207/10081G06T2207/30064G06T2207/20084G06T2207/20081G06T2207/30096G06N3/08G06V20/653G06V10/32G06V10/454G06V2201/031G06V10/82G06V10/764G06N3/045Y02A90/10G06T7/11G06F18/214
Inventor 王睿孙星郭晓威
Owner TENCENT TECH (SHENZHEN) CO LTD