CA2975035C - System and method for image segmentation - Google Patents

System and method for image segmentation Download PDF

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Publication number
CA2975035C
CA2975035C CA2975035A CA2975035A CA2975035C CA 2975035 C CA2975035 C CA 2975035C CA 2975035 A CA2975035 A CA 2975035A CA 2975035 A CA2975035 A CA 2975035A CA 2975035 C CA2975035 C CA 2975035C
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image
superpixels
superpixel
distance
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French (fr)
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CA2975035A1 (en
Inventor
Christophe Chefd'hotel
Yao Nie
Stanley Ho
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Ventana Medical Systems Inc
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Ventana Medical Systems Inc
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/187—Segmentation; Edge detection involving region growing; involving region merging; involving connected component labelling
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G06T7/0008—Industrial image inspection checking presence/absence
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/162—Segmentation; Edge detection involving graph-based methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10056—Microscopic image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20072—Graph-based image processing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20092—Interactive image processing based on input by user
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G06T2207/20156—Automatic seed setting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/168—Segmentation; Edge detection involving transform domain methods

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  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Image Analysis (AREA)
CA2975035A 2015-03-20 2016-03-18 System and method for image segmentation Active CA2975035C (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201562136381P 2015-03-20 2015-03-20
US62/136,381 2015-03-20
PCT/EP2016/056027 WO2016150873A1 (en) 2015-03-20 2016-03-18 System and method for image segmentation

Publications (2)

Publication Number Publication Date
CA2975035A1 CA2975035A1 (en) 2016-09-29
CA2975035C true CA2975035C (en) 2023-08-22

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CA2975035A Active CA2975035C (en) 2015-03-20 2016-03-18 System and method for image segmentation

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US (1) US10540771B2 (enExample)
EP (1) EP3271894B1 (enExample)
JP (1) JP6588102B2 (enExample)
CN (1) CN107430771B (enExample)
AU (1) AU2016236323A1 (enExample)
CA (1) CA2975035C (enExample)
WO (1) WO2016150873A1 (enExample)

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EP3535685B1 (en) 2016-11-02 2025-02-26 Ventana Medical Systems, Inc. Systems and methods for encoding image features of high-resolution digital images of biological specimens
WO2018091486A1 (en) 2016-11-16 2018-05-24 Ventana Medical Systems, Inc. Convolutional neural networks for locating objects of interest in images of biological samples
WO2018176189A1 (zh) * 2017-03-27 2018-10-04 上海联影医疗科技有限公司 图像分割的方法及系统
US10748036B2 (en) 2017-11-21 2020-08-18 Nvidia Corporation Training a neural network to predict superpixels using segmentation-aware affinity loss
JP7197584B2 (ja) * 2017-12-06 2022-12-27 ベンタナ メディカル システムズ， インコーポレイテッド デジタル病理学分析結果の格納および読み出し方法
US11568657B2 (en) * 2017-12-06 2023-01-31 Ventana Medical Systems, Inc. Method of storing and retrieving digital pathology analysis results
US11017536B2 (en) * 2018-05-02 2021-05-25 Mako Surgical Corp. Image segmentation
CN108681994B (zh) * 2018-05-11 2023-01-10 京东方科技集团股份有限公司 一种图像处理方法、装置、电子设备及可读存储介质
EP3794548B1 (en) * 2018-05-15 2024-06-26 Ventana Medical Systems, Inc. Quantitation of signal in stain aggregates
CN108876789B (zh) * 2018-06-15 2022-03-25 南方医科大学 一种基于超像素和邻域块特征结合的连续图割方法
WO2020096999A1 (en) * 2018-11-05 2020-05-14 Emory University Systems and methods for quantitative diagnosis of anemia
WO2020163539A1 (en) * 2019-02-05 2020-08-13 University Of Virginia Patent Foundation System and method for fully automatic lv segmentation of myocardial first-pass perfusion images
US11200455B2 (en) 2019-11-22 2021-12-14 International Business Machines Corporation Generating training data for object detection
CN111401121A (zh) * 2019-12-18 2020-07-10 浙江工业大学 一种基于超像素特征提取实现柑橘分割方法
WO2021150017A1 (en) * 2020-01-23 2021-07-29 Samsung Electronics Co., Ltd. Method for interactive segmenting an object on an image and electronic computing device implementing the same
CN111652859B (zh) * 2020-05-25 2023-11-07 杭州电子科技大学 基于K-means的布料花型智能分色方法
KR102177951B1 (ko) * 2020-06-16 2020-11-12 주식회사 딥바이오 슬라이드 이미지에 포함된 생체 조직의 길이를 측정하는 방법 및 이를 수행하는 컴퓨팅 시스템
CN111931811B (zh) * 2020-06-29 2024-03-29 南京巨鲨显示科技有限公司 一种基于超像素图像相似度的计算方法
CN114494221B (zh) * 2020-07-14 2025-01-10 上海商汤善萃医疗科技有限公司 图像处理方法及装置、电子设备和存储介质
CN112132189B (zh) * 2020-08-31 2024-03-22 浙江工业大学 一种面向cbct图像的密度峰值超像素预处理方法
CN112381830B (zh) * 2020-10-23 2022-08-09 山东黄河三角洲国家级自然保护区管理委员会 基于YCbCr超像素和图割的鸟类关键部位提取方法和装置
TWI774120B (zh) * 2020-11-10 2022-08-11 中國醫藥大學 生物組織影像分析方法及生物組織影像分析系統
CN112561925A (zh) * 2020-12-02 2021-03-26 中国联合网络通信集团有限公司 图像分割方法、系统、计算机设备及存储介质
CN113822903B (zh) * 2021-07-15 2025-09-05 腾讯科技（深圳）有限公司 分割模型的训练方法、图像处理方法、装置、设备及介质
CN113362347B (zh) * 2021-07-15 2023-05-26 广东工业大学 一种基于超像素特征增强的图像缺陷区域分割方法和系统
CN113538240B (zh) * 2021-07-16 2022-09-23 中国人民解放军国防科技大学 Sar图像超像素生成方法、装置、计算机设备和存储介质
CN114638822B (zh) * 2022-03-31 2022-12-13 扬州市恒邦机械制造有限公司 一种利用光学手段的汽车盖板表面质量检测方法及系统
CN114926463B (zh) * 2022-07-20 2022-09-27 深圳市尹泰明电子有限公司 一种适用于芯片电路板的生产质量检测方法
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Also Published As

Publication number Publication date
EP3271894A1 (en) 2018-01-24
US20180012365A1 (en) 2018-01-11
US10540771B2 (en) 2020-01-21
CA2975035A1 (en) 2016-09-29
JP2018514024A (ja) 2018-05-31
JP6588102B2 (ja) 2019-10-09
EP3271894B1 (en) 2019-02-13
CN107430771B (zh) 2021-07-02
AU2016236323A1 (en) 2017-08-10
CN107430771A (zh) 2017-12-01
WO2016150873A1 (en) 2016-09-29

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