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Image processing method and device, computer device and readable storage medium

An image processing and image technology, applied in the field of computer vision, can solve problems such as low efficiency and slow speed, and achieve the effect of improving execution efficiency and rapid deduplication

Active Publication Date: 2019-12-17
SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional NMS algorithm is slow and inefficient in removing duplicate candidate frames

Method used

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  • Image processing method and device, computer device and readable storage medium
  • Image processing method and device, computer device and readable storage medium
  • Image processing method and device, computer device and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] figure 1 It is a flow chart of the image processing method provided by Embodiment 1 of the present invention. The image processing method is applied to a computer device. The image processing method uses maximum pooling to deduplicate the candidate frames of the image to be processed. The image processing method can be applied to target detection, for example, in face detection in various video surveillance scenarios (such as intelligent transportation, access control systems, urban security, etc.), for deduplication of candidate frames on surveillance images.

[0041] Such as figure 1 As shown, the image processing method specifically includes the following steps:

[0042] 101: Obtain the pooling step size and pooling window size of the maximum pooling according to the given filtering threshold.

[0043] The filtering threshold is the threshold of the coincidence rate set for the candidate frame when the non-maximum suppression (NMS) algorithm is used to deduplicat...

Embodiment 2

[0068] Figure 4 It is a structural diagram of an image processing device provided by Embodiment 2 of the present invention. The image processing device 10 is applied to a computer device. The image processing device 10 deduplicates the candidate frames of the image to be processed by max pooling. The image processing device 10 can be applied to target detection, for example, in face detection in various video surveillance scenarios (such as intelligent transportation, access control systems, urban security, etc.), for deduplication of candidate frames on surveillance images.

[0069] Such as Figure 4 As shown, the image processing apparatus 10 may include: a first acquisition unit 401 , a second acquisition unit 402 , and a pooling unit 403 .

[0070] The first obtaining unit 401 is configured to obtain a maximum pooling step size and a pooling window size according to a given filtering threshold.

[0071] The filtering threshold is the threshold of the coincidence rate ...

Embodiment 3

[0096] Figure 5 It is a schematic diagram of a computer device provided by Embodiment 3 of the present invention. The computer device 1 comprises a memory 20 , a processor 30 and a computer program 40 stored in the memory 20 and executable on the processor 30 , such as an image processing program. When the processor 30 executes the computer program 40, the steps in the above image processing method embodiments are implemented, for example figure 1 Steps 101-103 are shown. Alternatively, when the processor 30 executes the computer program 40, it realizes the functions of the modules / units in the above device embodiments, for example Figure 4 Units 401-403 in .

[0097] Exemplarily, the computer program 40 can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 20 and executed by the processor 30 to complete this invention. The one or more modules / units may be a series of computer program instruction segments capable of ac...

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PUM

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Abstract

An image processing method, the method comprising: obtaining the pooling step size and the pooling window size of the maximum pooling according to a given filtering threshold; obtaining the matching degree score between each pixel of the image to be processed and the target; Processing the matching score of each pixel of the image, performing maximum pooling on the image to be processed with the pooling step size and the size of the pooling window to obtain the image to be processed after removing repeated candidate frames. The invention also provides an image processing device, a computer device and a readable storage medium. The present invention can rapidly deduplicate the candidate frame of the image according to the matching score of the pixel points.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an image processing method and device, a computer device and a readable storage medium. Background technique [0002] In the process of object detection, multiple candidate boxes are usually obtained (for example, multiple candidate face boxes are obtained in face detection). In order to eliminate redundant candidate boxes, the non-maximum suppression (NMS) algorithm is usually used to deduplicate the candidate boxes in the image (that is, to remove repeated candidate boxes). However, the traditional NMS algorithm sorts each candidate frame according to the matching score, constantly looks for the candidate frame with the highest matching score, traverses other candidate frames, and deletes candidate frames whose coincidence rate exceeds the filtering threshold. The traditional NMS algorithm is slow and inefficient in removing duplicate candidate frames. Contents of th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/161G06F18/22
Inventor 陈乐
Owner SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
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