EP3756341A1 - Procédé de détection de cible et de remplacement de pixels défectueux par mouvement commandé de caméra - Google Patents

Procédé de détection de cible et de remplacement de pixels défectueux par mouvement commandé de caméra

Info

Publication number
EP3756341A1
EP3756341A1 EP18799611.1A EP18799611A EP3756341A1 EP 3756341 A1 EP3756341 A1 EP 3756341A1 EP 18799611 A EP18799611 A EP 18799611A EP 3756341 A1 EP3756341 A1 EP 3756341A1
Authority
EP
European Patent Office
Prior art keywords
pixel
value
bad
pixels
target
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP18799611.1A
Other languages
German (de)
English (en)
Inventor
Erdem Akagündüz
Erkan OKUYAN
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Aselsan Elektronik Sanayi ve Ticaret AS
Original Assignee
Aselsan Elektronik Sanayi ve Ticaret AS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Aselsan Elektronik Sanayi ve Ticaret AS filed Critical Aselsan Elektronik Sanayi ve Ticaret AS
Publication of EP3756341A1 publication Critical patent/EP3756341A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
    • H04N25/68—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to defects
    • H04N25/683—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to defects by defect estimation performed on the scene signal, e.g. real time or on the fly detection
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F41—WEAPONS
    • F41G—WEAPON SIGHTS; AIMING
    • F41G7/00—Direction control systems for self-propelled missiles
    • F41G7/20—Direction control systems for self-propelled missiles based on continuous observation of target position
    • F41G7/22—Homing guidance systems
    • F41G7/2253—Passive homing systems, i.e. comprising a receiver and do not requiring an active illumination of the target
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F41—WEAPONS
    • F41G—WEAPON SIGHTS; AIMING
    • F41G7/00—Direction control systems for self-propelled missiles
    • F41G7/20—Direction control systems for self-propelled missiles based on continuous observation of target position
    • F41G7/22—Homing guidance systems
    • F41G7/2273—Homing guidance systems characterised by the type of waves
    • F41G7/2293—Homing guidance systems characterised by the type of waves using electromagnetic waves other than radio waves

Definitions

  • the present disclosure relates a method for improving automatic target detection with replacement of bad pixels by using a controlled motion of the electro-optical system.
  • Electro-optical systems are used to keep under surveillance of an area and detect any object (missile, aircraft etc.) that can pose a threat.
  • Bad pixels can be problem for mission critical cases, such as detecting dim targets on infrared electro-optic systems.
  • Any type of array detector includes bad pixels that simply do not create the necessary signals required for the detector to function. In certain applications, especially when pixel or subpixel sized signals are being detected/tracked, bad pixels become an important problem.
  • the most well-known and practiced method to avoid bad pixels is to construct a list of bad pixels during production, specific to any produced detector and use this list of bad pixels to replace them with functioning neighbors. This list is provided in the detector datasheet, so that the designer takes the necessary precautions to avoid any harm that the bad pixel could cause.
  • the patent numbered US8571346B2 is an example for mentioned method that is based on a comparison of a pixel under evaluation with surrounding pixels and its correction. However new bad pixels may emerge after production. Therefore the detectors are applied some sort of calibration when restarted. For instance, new bad pixels can be detected by using a reference plate the detector sees on each restart.
  • bad pixels can still emerge after the restart of camera system because of the vibration that the system experiences, or some other effects, new bad pixels emerge on-the- fly.
  • bad pixels can emerge on infrared missile seeker systems at any stage of a missile’s flight, and they may cause the mission to fail.
  • the presented method running parallel and simultaneously with a visual detection algorithm comprising the steps of:
  • Figure 1 shows a scene pixel movement and blur region graphically according to different frequency and radius values indicated in the undermentioned Table 1.
  • the proposed algorithm aims to detect any bad pixels, at the exact point it emerges. For this purpose, this algorithm is run parallel and simultaneously with the actual visual algorithm (detection, tracking etc.).
  • the detection algorithm simply keeps track of the results of detection filter by using the output of a point target candidate detector system. For example, the correlation or convolution of a Gaussian with the NxN local regions on the image will output higher values for target and target-like regions.
  • the output of such a filter can be used to detect target candidates on a single image.
  • the output of such filter is called the target candidate strength.
  • the proposed dynamic bad pixel detection algorithm can use these strength values of such a filter. Flowever the proposed bad pixel detection can use the output of any other candidate detection algorithm as well.
  • the dynamic bad pixel detection algorithm simply keeps track of the candidate strengths of the current and the previous frame. By checking the stability of the candidate strength, a pixel on the detector can be labelled as bad.
  • the proposed algorithm keep a “Candidate Pixel Repeat” (CPR) image having the same resolution of the image. This image is a matrix with zero values on each pixel initially. On each new frame the proposed algorithm does the following:
  • the value of that pixel of CPR image is increased by an integer constant.
  • every pixel on the CPR image is decreased by an integer to avoid overflow. Again, a negative value on the CPR image is not allowed. Thus CPR pixel value stays zero, if it is already zero.
  • a seeker head system required to detect a point target. During its search mode, the seeker could suffer from a new emerged bad pixel.
  • the proposed algorithm and introducing a circular motion around the search axis with a constant radius and frequency, no scene component occupy the same detector pixel on succeeding frames of the detector.
  • the bad pixels always have the same detector coordinate.
  • a detector with 100 frame rate with a circular motion of 5 pixels radius and 2 Hz frequency, a scene component experiences 0.63 pixels displacement on each new frame.
  • the controlled camera motion need not to be circular as long as it is continuous.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Aiming, Guidance, Guns With A Light Source, Armor, Camouflage, And Targets (AREA)

Abstract

L'invention concerne un procédé d'amélioration de la détection de cible automatique impliquant le remplacement de pixels défectueux par utilisation d'un mouvement commandé des systèmes électro-optiques. En utilisant le mouvement commandé du système optique (c.-à-d. la caméra), on obtient deux améliorations principales : le champ de recherche est augmenté et les pixels défectueux/morts présents sur le capteur de caméra sont détectés, à condition que les valeurs de ces pixels ne changent pas lorsque la scène entière est en mouvement. L'algorithme qui est révélé selon le procédé rend ces systèmes résilients vis-à-vis des pixels défectueux.
EP18799611.1A 2018-02-21 2018-02-21 Procédé de détection de cible et de remplacement de pixels défectueux par mouvement commandé de caméra Withdrawn EP3756341A1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/TR2018/050065 WO2019164464A1 (fr) 2018-02-21 2018-02-21 Procédé de détection de cible et de remplacement de pixels défectueux par mouvement commandé de caméra

Publications (1)

Publication Number Publication Date
EP3756341A1 true EP3756341A1 (fr) 2020-12-30

Family

ID=64172568

Family Applications (1)

Application Number Title Priority Date Filing Date
EP18799611.1A Withdrawn EP3756341A1 (fr) 2018-02-21 2018-02-21 Procédé de détection de cible et de remplacement de pixels défectueux par mouvement commandé de caméra

Country Status (2)

Country Link
EP (1) EP3756341A1 (fr)
WO (1) WO2019164464A1 (fr)

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5323334A (en) * 1992-12-04 1994-06-21 Hughes Aircraft Company Sensor system having nonuniformity suppression with image preservation
DE4331259C1 (de) 1993-09-15 2003-07-10 Bodenseewerk Geraetetech Sucher für zielverfolgende Flugkörper
JP4548128B2 (ja) * 2005-01-26 2010-09-22 ソニー株式会社 欠陥検出装置および欠陥検出方法、ならびに撮像装置
US8571346B2 (en) 2005-10-26 2013-10-29 Nvidia Corporation Methods and devices for defective pixel detection
US7684634B2 (en) * 2006-08-29 2010-03-23 Raytheon Company System and method for adaptive non-uniformity compensation for a focal plane array
TWI407801B (zh) 2010-08-11 2013-09-01 Silicon Motion Inc 用來進行壞像素補償之方法與用來進行壞像素補償之裝置
US8994819B2 (en) 2011-02-04 2015-03-31 Raytheon Company Integrated optical detection system
JP5868039B2 (ja) * 2011-06-30 2016-02-24 キヤノン株式会社 撮像装置、画像合成方法、及びコンピュータプログラム
US10025988B2 (en) * 2015-05-22 2018-07-17 Tektronix, Inc. Anomalous pixel detection

Also Published As

Publication number Publication date
WO2019164464A1 (fr) 2019-08-29

Similar Documents

Publication Publication Date Title
US5323334A (en) Sensor system having nonuniformity suppression with image preservation
US8964047B2 (en) Self-correcting adaptive long-stare electro-optical system
KR101379075B1 (ko) 초점면 어레이에 대한 적응적 비-균일성 보상을 위한 시스템 및 방법
US5721427A (en) Scene-based nonuniformity correction processor incorporating motion triggering
US9207053B2 (en) Harmonic shuttered seeker
US20020154909A1 (en) Automatic focus adjusting device
US9383170B2 (en) Laser-aided passive seeker
US8855479B2 (en) Imaging apparatus and method for controlling same
CN106327474A (zh) 一种自动在线盲元检测方法
GB2608763A (en) Intelligent method of tracking focus in machine vision applications
EP3756341A1 (fr) Procédé de détection de cible et de remplacement de pixels défectueux par mouvement commandé de caméra
US11399127B2 (en) Imaging apparatus and method for controlling the same
US9883105B2 (en) Image processing apparatus and control method thereof
KR101924208B1 (ko) 시계 가변이 가능한 적외선 영상 센서 및 이를 포함하는 영상 호밍 장치
Crawford et al. THALES long-wave advanced IR QWIP cameras
US20200263958A1 (en) Active seeker head system
KR102174417B1 (ko) 영상 보정 시스템 및 영상 보정 방법
CN103398782A (zh) 一种基于大气湍流校正的超分辨率红外热像仪
US6355922B1 (en) Imaging system and method for hardbody detection and sensor fixed artifact rejection
Qin et al. Research on Electronic Image Stabilization Technology of Vehicle-Mounted Remote-Controlled Weapon Station
CN113301330B (zh) 一种利用电动调焦镜头的图像延迟在线检测方法及系统
CN114697566B (zh) 变焦镜头暗角补偿方法、装置、电子设备和存储介质
WO2022225598A1 (fr) Système de suivi de cible
US20160156831A1 (en) System for determining a lens position
KR101546785B1 (ko) 주사 구동 방식을 이용하여 전방향 자동 탐지 및 추적이 가능한 차륜형 대공포 전자 광학 추적 시스템

Legal Events

Date Code Title Description
STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: UNKNOWN

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE INTERNATIONAL PUBLICATION HAS BEEN MADE

PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: REQUEST FOR EXAMINATION WAS MADE

17P Request for examination filed

Effective date: 20200619

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

AX Request for extension of the european patent

Extension state: BA ME

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: EXAMINATION IS IN PROGRESS

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: EXAMINATION IS IN PROGRESS

17Q First examination report despatched

Effective date: 20210122

DAV Request for validation of the european patent (deleted)
DAX Request for extension of the european patent (deleted)
STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION IS DEEMED TO BE WITHDRAWN

18D Application deemed to be withdrawn

Effective date: 20211001