CN106203448B - 一种基于非线性尺度空间的场景分类方法 - Google Patents
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- CN106203448B CN106203448B CN201610538778.7A CN201610538778A CN106203448B CN 106203448 B CN106203448 B CN 106203448B CN 201610538778 A CN201610538778 A CN 201610538778A CN 106203448 B CN106203448 B CN 106203448B
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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
- G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
- G06V10/422—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation for representing the structure of the pattern or shape of an object therefor
- G06V10/424—Syntactic representation, e.g. by using alphabets or grammars
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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CN106203448B true CN106203448B (zh) | 2019-03-12 |
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Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN109214235A (zh) * | 2017-06-29 | 2019-01-15 | 沈阳新松机器人自动化股份有限公司 | 室外场景分类方法及*** |
CN107480718A (zh) * | 2017-08-17 | 2017-12-15 | 南京信息工程大学 | 一种基于视觉词袋模型的高分辨率遥感图像分类方法 |
CN108764302B (zh) * | 2018-05-08 | 2021-09-28 | 中山大学 | 一种基于颜色特征和词袋特征的票据图像分类方法 |
CN108734209A (zh) * | 2018-05-16 | 2018-11-02 | 上海鹰瞳医疗科技有限公司 | 基于多图像的特征识别和设备 |
CN110825899B (zh) * | 2019-09-18 | 2023-06-20 | 武汉纺织大学 | 融合颜色特征和残差网络深度特征的服装图像检索方法 |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
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CN103606170A (zh) * | 2013-12-05 | 2014-02-26 | 武汉大学 | 基于彩色尺度不变的街景影像特征检测与匹配方法 |
CN103679169A (zh) * | 2012-09-10 | 2014-03-26 | 华为技术有限公司 | 图像特征的提取方法及装置 |
WO2014183259A1 (zh) * | 2013-05-14 | 2014-11-20 | 中国科学院自动化研究所 | 一种全色−多光谱遥感图像融合方法 |
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Publication number | Priority date | Publication date | Assignee | Title |
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CN103679169A (zh) * | 2012-09-10 | 2014-03-26 | 华为技术有限公司 | 图像特征的提取方法及装置 |
WO2014183259A1 (zh) * | 2013-05-14 | 2014-11-20 | 中国科学院自动化研究所 | 一种全色−多光谱遥感图像融合方法 |
CN103606170A (zh) * | 2013-12-05 | 2014-02-26 | 武汉大学 | 基于彩色尺度不变的街景影像特征检测与匹配方法 |
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Effective date of registration: 20200729 Address after: Room 2091, Heying building, No. 99, Tuanjie Road, yanchuangyuan, Jiangbei new district, Nanjing, Jiangsu Province Patentee after: Nanjing Xinda Environmental Technology Co.,Ltd. Address before: The Olympic Avenue in Jianye District of Nanjing city of Jiangsu Province, No. 69 210019 Patentee before: Nanjing University of Information Science and Technology |
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Denomination of invention: A scene classification method based on nonlinear scale space Effective date of registration: 20221230 Granted publication date: 20190312 Pledgee: China Construction Bank Corporation Nanjing Jiangbei new area branch Pledgor: Nanjing Xinda Environmental Technology Co.,Ltd. Registration number: Y2022980029818 |