SG11202012531TA - Method, apparatus, device, medium and product for segmenting image, and method, apparatus, device, medium and product for training segmentation network - Google Patents

Method, apparatus, device, medium and product for segmenting image, and method, apparatus, device, medium and product for training segmentation network

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Publication number
SG11202012531TA
SG11202012531TA SG11202012531TA SG11202012531TA SG11202012531TA SG 11202012531T A SG11202012531T A SG 11202012531TA SG 11202012531T A SG11202012531T A SG 11202012531TA SG 11202012531T A SG11202012531T A SG 11202012531TA SG 11202012531T A SG11202012531T A SG 11202012531TA
Authority
SG
Singapore
Prior art keywords
medium
product
segmentation network
segmenting image
training segmentation
Prior art date
Application number
SG11202012531TA
Inventor
Chao Tian
Cong Li
Jianping Shi
Original Assignee
Beijing Sensetime Technology Development Co Ltd
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 Beijing Sensetime Technology Development Co Ltd filed Critical Beijing Sensetime Technology Development Co Ltd
Publication of SG11202012531TA publication Critical patent/SG11202012531TA/en

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • G06V20/182Network patterns, e.g. roads or rivers
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • G06F18/253Fusion techniques of extracted features
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/26Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G06V10/267Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/806Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of extracted features
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • G06T2207/20132Image cropping

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
SG11202012531TA 2018-06-15 2019-06-14 Method, apparatus, device, medium and product for segmenting image, and method, apparatus, device, medium and product for training segmentation network SG11202012531TA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201810623306.0A CN108830221A (en) 2018-06-15 2018-06-15 The target object segmentation of image and training method and device, equipment, medium, product
PCT/CN2019/091328 WO2019238126A1 (en) 2018-06-15 2019-06-14 Image segmentation and segmentation network training method and apparatus, device, medium, and product

Publications (1)

Publication Number Publication Date
SG11202012531TA true SG11202012531TA (en) 2021-01-28

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202012531TA SG11202012531TA (en) 2018-06-15 2019-06-14 Method, apparatus, device, medium and product for segmenting image, and method, apparatus, device, medium and product for training segmentation network

Country Status (5)

Country Link
US (1) US20210097325A1 (en)
JP (1) JP7045490B2 (en)
CN (1) CN108830221A (en)
SG (1) SG11202012531TA (en)
WO (1) WO2019238126A1 (en)

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108830221A (en) * 2018-06-15 2018-11-16 北京市商汤科技开发有限公司 The target object segmentation of image and training method and device, equipment, medium, product
CN111260564A (en) * 2018-11-30 2020-06-09 北京市商汤科技开发有限公司 Image processing method and device and computer storage medium
CN109635813B (en) * 2018-12-13 2020-12-25 银河水滴科技(北京)有限公司 Steel rail region image segmentation method and device
CN111626313B (en) * 2019-02-28 2023-06-02 银河水滴科技(北京)有限公司 Feature extraction model training method, image processing method and device
CN109934223B (en) * 2019-03-01 2022-04-26 北京地平线机器人技术研发有限公司 Method and device for determining evaluation parameters of example segmentation result
CN113992848A (en) * 2019-04-22 2022-01-28 深圳市商汤科技有限公司 Video image processing method and device
CN110245710B (en) * 2019-06-18 2022-11-29 腾讯科技(深圳)有限公司 Training method of semantic segmentation model, semantic segmentation method and device
CN110363780A (en) * 2019-07-23 2019-10-22 腾讯科技(深圳)有限公司 Image partition method, device, computer readable storage medium and computer equipment
CN111178445A (en) * 2019-12-31 2020-05-19 上海商汤智能科技有限公司 Image processing method and device
CN111667440B (en) * 2020-05-14 2024-02-13 涡阳县幸福门业有限公司 Fusion method of metal door baking finish temperature distribution images
CN112132832B (en) * 2020-08-21 2021-09-28 苏州浪潮智能科技有限公司 Method, system, device and medium for enhancing image instance segmentation
CN112529863B (en) * 2020-12-04 2024-01-23 推想医疗科技股份有限公司 Method and device for measuring bone mineral density
CN112686274B (en) * 2020-12-31 2023-04-18 上海智臻智能网络科技股份有限公司 Target object detection method and device
CN113705718B (en) * 2021-09-06 2024-04-02 齐齐哈尔大学 Remote sensing scene image classification method based on multi-level feature dense fusion
CN114596620B (en) * 2022-05-10 2022-08-05 深圳市海清视讯科技有限公司 Light supplement control method, device and equipment for face recognition equipment and storage medium
CN115222638B (en) * 2022-08-15 2023-03-07 深圳市眼科医院 Neural network model-based retinal blood vessel image segmentation method and system

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101216890B (en) * 2008-01-09 2011-02-16 北京中星微电子有限公司 A color image segmentation method
CN101425184B (en) * 2008-10-30 2011-08-24 西安电子科技大学 Image segmentation method based on second generation Bandelet concealed Markov tree model
CN105488534B (en) * 2015-12-04 2018-12-07 中国科学院深圳先进技术研究院 Traffic scene deep analysis method, apparatus and system
CN108830221A (en) 2018-06-15 2018-11-16 北京市商汤科技开发有限公司 The target object segmentation of image and training method and device, equipment, medium, product

Also Published As

Publication number Publication date
JP7045490B2 (en) 2022-03-31
JP2021526276A (en) 2021-09-30
WO2019238126A1 (en) 2019-12-19
CN108830221A (en) 2018-11-16
US20210097325A1 (en) 2021-04-01

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