CN106169081B - 一种基于不同照度的图像分类及处理方法 - Google Patents
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- CN106169081B CN106169081B CN201610509479.0A CN201610509479A CN106169081B CN 106169081 B CN106169081 B CN 106169081B CN 201610509479 A CN201610509479 A CN 201610509479A CN 106169081 B CN106169081 B CN 106169081B
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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
- G06V10/443—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 by matching or filtering
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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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US10496902B2 (en) | 2017-09-21 | 2019-12-03 | International Business Machines Corporation | Data augmentation for image classification tasks |
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CN107730473A (zh) * | 2017-11-03 | 2018-02-23 | 中国矿业大学 | 一种基于深度神经网络的煤矿井下图像处理方法 |
CN107800618B (zh) * | 2017-11-08 | 2020-11-06 | Oppo广东移动通信有限公司 | 图片推荐方法、装置、终端及计算机可读存储介质 |
CN111526290B (zh) * | 2017-11-08 | 2021-09-28 | Oppo广东移动通信有限公司 | 图像处理方法、装置、终端及存储介质 |
CN107844970A (zh) * | 2017-11-15 | 2018-03-27 | 上海中信信息发展股份有限公司 | 图像识别方法及追溯秤终端 |
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US11961001B2 (en) | 2017-12-15 | 2024-04-16 | Nvidia Corporation | Parallel forward and backward propagation |
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CN109978962B (zh) * | 2019-04-09 | 2022-05-17 | 广州市交通高级技工学校(广州市交通技师学院) | 一种面向暗室照度计检定的低对比度示值图像智能识别方法 |
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CN110177222B (zh) * | 2019-06-26 | 2021-02-05 | 湖北亿咖通科技有限公司 | 一种结合车机闲散资源的摄像头曝光参数调整方法及装置 |
CN110390033B (zh) * | 2019-07-25 | 2023-04-21 | 腾讯科技(深圳)有限公司 | 图像分类模型的训练方法、装置、电子设备及存储介质 |
CN110516737B (zh) * | 2019-08-26 | 2023-05-26 | 南京人工智能高等研究院有限公司 | 用于生成图像识别模型的方法和装置 |
CN110662112B (zh) * | 2019-09-23 | 2021-10-29 | 四川长虹电器股份有限公司 | 基于对比度识别动漫图像的观影限制方法 |
CN111899436B (zh) * | 2020-07-29 | 2023-04-28 | 北京市永康药业有限公司 | 一种智能化学药品存储柜 |
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CN103871029A (zh) * | 2014-01-28 | 2014-06-18 | 西安科技大学 | 一种图像增强及分割方法 |
CN104200437A (zh) * | 2014-09-04 | 2014-12-10 | 北京工业大学 | 一种图像去雾处理方法 |
CN104933680A (zh) * | 2015-03-13 | 2015-09-23 | 哈尔滨工程大学 | 一种智能的无人艇视觉***视频快速海雾去除方法 |
CN105469373A (zh) * | 2014-09-04 | 2016-04-06 | 南京理工大学 | 一种Retinex图像增强方法及*** |
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US9230192B2 (en) * | 2013-11-15 | 2016-01-05 | Adobe Systems Incorporated | Image classification using images with separate grayscale and color channels |
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CN103871029A (zh) * | 2014-01-28 | 2014-06-18 | 西安科技大学 | 一种图像增强及分割方法 |
CN104200437A (zh) * | 2014-09-04 | 2014-12-10 | 北京工业大学 | 一种图像去雾处理方法 |
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