MX2016003753A - Metodo para extraccion de region, metodo para entrenamiento de modelo y dispositivos de los mismos. - Google Patents

Metodo para extraccion de region, metodo para entrenamiento de modelo y dispositivos de los mismos.

Info

Publication number
MX2016003753A
MX2016003753A MX2016003753A MX2016003753A MX2016003753A MX 2016003753 A MX2016003753 A MX 2016003753A MX 2016003753 A MX2016003753 A MX 2016003753A MX 2016003753 A MX2016003753 A MX 2016003753A MX 2016003753 A MX2016003753 A MX 2016003753A
Authority
MX
Mexico
Prior art keywords
area
image
recognition model
sample images
area extraction
Prior art date
Application number
MX2016003753A
Other languages
English (en)
Inventor
Zhang Tao
Chen Zhijun
Long Fei
Original Assignee
Xiaomi Inc
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 Xiaomi Inc filed Critical Xiaomi Inc
Publication of MX2016003753A publication Critical patent/MX2016003753A/es

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/14—Image acquisition
    • G06V30/148—Segmentation of character regions
    • G06V30/153—Segmentation of character regions using recognition of characters or words
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/758—Involving statistics of pixels or of feature values, e.g. histogram matching
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/14—Image acquisition
    • G06V30/146—Aligning or centring of the image pick-up or image-field
    • G06V30/1475—Inclination or skew detection or correction of characters or of image to be recognised
    • G06V30/1478—Inclination or skew detection or correction of characters or of image to be recognised of characters or characters lines
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/40—Document-oriented image-based pattern recognition
    • G06V30/41—Analysis of document content
    • G06V30/413—Classification of content, e.g. text, photographs or tables

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Image Analysis (AREA)
  • Character Input (AREA)
  • Character Discrimination (AREA)

Abstract

Un método para extracción de región, método para entrenamiento de modelo y dispositivos de los mismos se proveen en la descripción, que pertenece al campo de procesamiento de imágenes. El método para extracción de región puede incluir: adquirir un modelo de reconocimiento, el modelo de reconocimiento siendo formado por imágenes de muestra predefinidas con un algoritmo de clasificación, las imágenes de muestra predefinidas incluyendo imágenes de muestra positivas e imágenes de muestra negativas, cada una de las imágenes de muestra positivas teniendo por lo menos un carácter de numeral, cada una de las imágenes de muestra negativas no teniendo carácter de numeral o caracteres de numeral incompletos únicamente; realizar reconocimiento en una imagen que ha de ser reconocida, de acuerdo con el modelo de reconocimiento, para obtener por lo menos una región de numeral;- y realizar segmentación de región en la región de numeral para obtener por lo menos una región de numeral única. Por consiguiente, se resuelve el problema de que: en enfoques actuales para extracción de región de numeral, tanto el tamaño como el número de dígitos de un numeral es restringido y por lo tanto los numerales con diferentes tamaños de tipo o diferentes dígitos no pueden ser extraídos de manera exacta. Como resultado, efectos técnicos de ubicación con exactitud y después segmentación y extracción de numerales que tienen diferentes estilos de tipo, diferentes tamaños de tipo, o diferentes dígitos se logran usando el modelo de reconocimiento. [Figura 2].
MX2016003753A 2015-10-30 2015-12-29 Metodo para extraccion de region, metodo para entrenamiento de modelo y dispositivos de los mismos. MX2016003753A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510727932.0A CN105528607B (zh) 2015-10-30 2015-10-30 区域提取方法、模型训练方法及装置
PCT/CN2015/099300 WO2017071064A1 (zh) 2015-10-30 2015-12-29 区域提取方法、模型训练方法及装置

Publications (1)

Publication Number Publication Date
MX2016003753A true MX2016003753A (es) 2017-05-30

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
MX2016003753A MX2016003753A (es) 2015-10-30 2015-12-29 Metodo para extraccion de region, metodo para entrenamiento de modelo y dispositivos de los mismos.

Country Status (8)

Country Link
US (1) US20170124719A1 (es)
EP (1) EP3163509A1 (es)
JP (1) JP2018503201A (es)
KR (1) KR101763891B1 (es)
CN (1) CN105528607B (es)
MX (1) MX2016003753A (es)
RU (1) RU2016110914A (es)
WO (1) WO2017071064A1 (es)

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CN107784301B (zh) * 2016-08-31 2021-06-11 百度在线网络技术（北京）有限公司 用于识别图像中文字区域的方法和装置
CN107886102B (zh) * 2016-09-29 2020-04-07 北京君正集成电路股份有限公司 Adaboost分类器训练方法及系统
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KR102030768B1 (ko) 2018-05-08 2019-10-10 숭실대학교산학협력단 영상을 이용한 가금류 무게 측정 방법, 이를 수행하기 위한 기록매체 및 장치
CN108846795A (zh) * 2018-05-30 2018-11-20 北京小米移动软件有限公司 图像处理方法及装置
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CN111753851B (zh) * 2020-07-01 2022-06-07 中国铁路设计集团有限公司 基于图像处理的铁路雪深及风雪运移轨迹监测方法及系统
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Also Published As

Publication number Publication date
KR101763891B1 (ko) 2017-08-01
WO2017071064A1 (zh) 2017-05-04
EP3163509A1 (en) 2017-05-03
KR20170061628A (ko) 2017-06-05
JP2018503201A (ja) 2018-02-01
RU2016110914A (ru) 2017-09-28
CN105528607B (zh) 2019-02-15
US20170124719A1 (en) 2017-05-04
CN105528607A (zh) 2016-04-27

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