CN112184729B - 局部图像的表征获取方法、系统、介质及装置 - Google Patents
局部图像的表征获取方法、系统、介质及装置 Download PDFInfo
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- CN112184729B CN112184729B CN202011015637.XA CN202011015637A CN112184729B CN 112184729 B CN112184729 B CN 112184729B CN 202011015637 A CN202011015637 A CN 202011015637A CN 112184729 B CN112184729 B CN 112184729B
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000012512 characterization method Methods 0.000 title claims description 30
- 238000012545 processing Methods 0.000 claims abstract description 32
- 238000013528 artificial neural network Methods 0.000 claims abstract description 14
- 238000001514 detection method Methods 0.000 claims description 22
- 230000006870 function Effects 0.000 claims description 19
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- 238000004590 computer program Methods 0.000 claims description 12
- 238000007781 pre-processing Methods 0.000 claims description 10
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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Citations (8)
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CN108846440A (zh) * | 2018-06-20 | 2018-11-20 | 腾讯科技(深圳)有限公司 | 图像处理方法及装置、计算机可读介质和电子设备 |
CN109472315A (zh) * | 2018-11-15 | 2019-03-15 | 江苏木盟智能科技有限公司 | 一种基于深度可分离卷积的目标检测方法和系统 |
CN110209863A (zh) * | 2019-06-03 | 2019-09-06 | 上海蜜度信息技术有限公司 | 用于相似图片检索的方法与设备 |
CN110399799A (zh) * | 2019-06-26 | 2019-11-01 | 北京迈格威科技有限公司 | 图像识别和神经网络模型的训练方法、装置和系统 |
CN110930387A (zh) * | 2019-11-21 | 2020-03-27 | 中原工学院 | 基于深度可分离卷积神经网络的织物疵点检测方法 |
CN111127378A (zh) * | 2019-12-23 | 2020-05-08 | Oppo广东移动通信有限公司 | 图像处理方法、装置、计算机设备及存储介质 |
WO2020101448A1 (en) * | 2018-08-28 | 2020-05-22 | Samsung Electronics Co., Ltd. | Method and apparatus for image segmentation |
CN111401477A (zh) * | 2020-04-17 | 2020-07-10 | Oppo广东移动通信有限公司 | 图像处理方法、装置、电子设备和计算机可读存储介质 |
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2020
- 2020-09-24 CN CN202011015637.XA patent/CN112184729B/zh active Active
Patent Citations (8)
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CN108846440A (zh) * | 2018-06-20 | 2018-11-20 | 腾讯科技(深圳)有限公司 | 图像处理方法及装置、计算机可读介质和电子设备 |
WO2020101448A1 (en) * | 2018-08-28 | 2020-05-22 | Samsung Electronics Co., Ltd. | Method and apparatus for image segmentation |
CN109472315A (zh) * | 2018-11-15 | 2019-03-15 | 江苏木盟智能科技有限公司 | 一种基于深度可分离卷积的目标检测方法和系统 |
CN110209863A (zh) * | 2019-06-03 | 2019-09-06 | 上海蜜度信息技术有限公司 | 用于相似图片检索的方法与设备 |
CN110399799A (zh) * | 2019-06-26 | 2019-11-01 | 北京迈格威科技有限公司 | 图像识别和神经网络模型的训练方法、装置和系统 |
CN110930387A (zh) * | 2019-11-21 | 2020-03-27 | 中原工学院 | 基于深度可分离卷积神经网络的织物疵点检测方法 |
CN111127378A (zh) * | 2019-12-23 | 2020-05-08 | Oppo广东移动通信有限公司 | 图像处理方法、装置、计算机设备及存储介质 |
CN111401477A (zh) * | 2020-04-17 | 2020-07-10 | Oppo广东移动通信有限公司 | 图像处理方法、装置、电子设备和计算机可读存储介质 |
Non-Patent Citations (2)
Title |
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"Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification";Licheng Jiao;《IEEE》;20170703;全文 * |
"结合多维度特征的病理图像病灶识别方法";胡伟岸;《计算机工程与应用》;20200921;第57卷(第6期);全文 * |
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