A method and apparatus for image processing

An image processing device and an image processing technology, applied in the field of image processing, can solve the problem that the detection efficiency and detection accuracy cannot be guaranteed at the same time.
CN109308516AInactive Publication Date: 2019-02-05HUAWEI TECH CO LTD
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
HUAWEI TECH CO LTD
Publication Date
2019-02-05
Estimated Expiration
Not applicable ยท inactive patent

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Abstract

The invention relates to an image processing method and a device, which are used for solving the problem that the number of target candidate frames selected in the target detection process in the prior art is fixed so that the detection efficiency and the detection accuracy can not be guaranteed at the same time when the target is detected. In accordance with an embodiment of that present invention, A device determines a target number of images to be detected based on the images to be detected, and selecting target candidate frames related to the number of targets from a plurality of target candidate frames of the image to be detected, So that the number of target candidate frames selected for different images is more suitable, so that the problem of low detection efficiency caused by toomuch computation can be avoided in the target image detection process, and the detection result can be more accurate.
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Description

technical field

[0001] The present application relates to the technical field of image processing, and in particular to an image processing method and device. Background technique

[0002] For a given image, it is often necessary to mark or extract the target that the user cares about in the image. This process is called target detection, which can also be called target extraction; target detection is an image segmentation technology based on the geometric and statistical characteristics of the target. , object detection involves the recognition of objects in images and image segmentation, and the accuracy and efficiency of object detection are two important indicators for evaluating object detection.

[0003] In recent years, object detection has mostly used some object detection algorithms based on deep learning. Most of these deep learning-based target detection algorithms use a cascade architecture, such as Fast-RCNN (fast convolution neural network, fast regional convo...

Claims

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