CN109478329A - 图像处理方法和装置 - Google Patents

图像处理方法和装置 Download PDF

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Publication number
CN109478329A
CN109478329A CN201680088030.XA CN201680088030A CN109478329A CN 109478329 A CN109478329 A CN 109478329A CN 201680088030 A CN201680088030 A CN 201680088030A CN 109478329 A CN109478329 A CN 109478329A
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pixel
input image
image
sensitivity
background model
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CN109478329B (zh
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张楠
王琪
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Fujitsu Ltd
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Fujitsu Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/14Picture signal circuitry for video frequency region

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

一种图像处理方法和装置,其中,该图像处理方法包括:根据输入图像检测区域的清晰度计算背景模型的灵敏度,该清晰度在第一预定范围内时,该灵敏度和该清晰度负相关;对该输入图像中的每个像素进行处理,其中,在对一个像素进行处理时,包括:计算该一个像素与在该背景模型中对应该一个像素的背景样本集中的每个样本点之间的距离,在该一个像素与至少第一预定数量个样本点的距离小于等于预定的第一阈值时,将该一个像素确定为该输入图像中的背景像素;该第一阈值根据该灵敏度确定,该灵敏度与该第一阈值负线性相关。上述实施例中的装置为VIBE算法中的背景模型定义灵敏度,并根据图像的清晰度来调整该灵敏度,由此,能够提高前景检测的准确度,避免图像变的模糊而无法提取完整的前景图像的问题。

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PCT国内申请,说明书已公开。

Claims (18)

  1. PCT国内申请,权利要求书已公开。
CN201680088030.XA 2016-10-14 2016-10-14 图像处理方法和装置 Active CN109478329B (zh)

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PCT/CN2016/102120 WO2018068300A1 (zh) 2016-10-14 2016-10-14 图像处理方法和装置

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CN109478329A true CN109478329A (zh) 2019-03-15
CN109478329B CN109478329B (zh) 2021-04-20

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CN112508898A (zh) * 2020-11-30 2021-03-16 北京百度网讯科技有限公司 眼底图像的检测方法、装置及电子设备
CN112598677A (zh) * 2019-10-01 2021-04-02 安讯士有限公司 用于图像分析的方法和设备
CN113808154A (zh) * 2021-08-02 2021-12-17 惠州Tcl移动通信有限公司 一种视频图像处理方法、装置、终端设备及存储介质

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CN111062273B (zh) * 2019-12-02 2023-06-06 青岛联合创智科技有限公司 一种遗留物品追溯检测与报警方法
CN111432206A (zh) * 2020-04-24 2020-07-17 腾讯科技(北京)有限公司 基于人工智能的视频清晰度处理方法、装置及电子设备
CN111626188B (zh) * 2020-05-26 2022-05-06 西南大学 一种室内不可控明火监测方法及系统
CN114205642B (zh) * 2020-08-31 2024-04-26 北京金山云网络技术有限公司 一种视频图像的处理方法和装置
CN112258467B (zh) * 2020-10-19 2024-06-18 浙江大华技术股份有限公司 一种图像清晰度的检测方法和装置以及存储介质
CN113505737B (zh) * 2021-07-26 2024-07-02 浙江大华技术股份有限公司 前景图像的确定方法及装置、存储介质、电子装置

Citations (4)

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EP2015252B1 (en) * 2007-07-08 2010-02-17 Université de Liège Visual background extractor
CN103971386A (zh) * 2014-05-30 2014-08-06 南京大学 一种动态背景场景下的前景检测方法
CN104392468A (zh) * 2014-11-21 2015-03-04 南京理工大学 基于改进视觉背景提取的运动目标检测方法
CN105894534A (zh) * 2016-03-25 2016-08-24 中国传媒大学 一种基于ViBe的改进运动目标检测方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2015252B1 (en) * 2007-07-08 2010-02-17 Université de Liège Visual background extractor
CN103971386A (zh) * 2014-05-30 2014-08-06 南京大学 一种动态背景场景下的前景检测方法
CN104392468A (zh) * 2014-11-21 2015-03-04 南京理工大学 基于改进视觉背景提取的运动目标检测方法
CN105894534A (zh) * 2016-03-25 2016-08-24 中国传媒大学 一种基于ViBe的改进运动目标检测方法

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112598677A (zh) * 2019-10-01 2021-04-02 安讯士有限公司 用于图像分析的方法和设备
CN112598677B (zh) * 2019-10-01 2023-05-12 安讯士有限公司 用于图像分析的方法和设备
CN112508898A (zh) * 2020-11-30 2021-03-16 北京百度网讯科技有限公司 眼底图像的检测方法、装置及电子设备
CN113808154A (zh) * 2021-08-02 2021-12-17 惠州Tcl移动通信有限公司 一种视频图像处理方法、装置、终端设备及存储介质

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WO2018068300A1 (zh) 2018-04-19
JP2019531552A (ja) 2019-10-31
CN109478329B (zh) 2021-04-20
JP6835215B2 (ja) 2021-02-24

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