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WEATHER RECOGNITION METHOD AND DEVICE BASED ON IMAGE INFORMATION DETECTION

机译:基于图像信息检测的天气识别方法及装置

摘要

The embodiments of the present invention disclose a weather recognition method and device based on image information detection, which includes: obtaining an image to be detected; extracting multiple first image features of the image to be detected with respect to each preset type of weather according to a number of first preset algorithms preset correspondingly for different preset types of weather; inputting the extracted multiple first image features to a preset multi-kernel classifier, the multi-kernel classifier performing classification according to the inputted image features to identify the weather in which the image to be detected was taken; wherein the multi-kernel classifier is a classifier for the preset types of weather realized by: selecting a first preset number of image samples for the different preset types of weather in which the image was taken respectively; and for the image samples of each preset type of weather respectively, extracting the first image features of each image sample according to the first preset algorithm which corresponds to this preset type of weather; and performing machine learning for the extracted first image features according to a preset multi-kernel learning algorithm. The weather in which the image was taken can be identified by applying the solutions provided by the embodiments of the present invention.
机译:本发明实施例公开了一种基于图像信息检测的天气识别方法和装置,包括:获取待检测图像;根据针对不同的预设天气类型对应预设的多个第一预设算法,针对每种预设的天气类型提取待检测图像的多个第一图像特征;将提取的多个第一图像特征输入预设的多核分类器,所述多核分类器根据输入的图像特征进行分类,以识别拍摄待测图像的天气。其中,多核分类器是用于通过以下方式实现的预设天气类型的分类器:为分别拍摄图像的不同预设天气选择第一预设数量的图像样本。对于每种预设天气类型的图像样本,分别根据与该预设天气类型相对应的第一预设算法提取每个图像样本的第一图像特征;根据预设的多核学习算法对提取的第一图像特征进行机器学习。可以通过应用本发明的实施例提供的解决方案来识别拍摄图像的天气。

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