Yellow River ice dam image feature recognition method

Abstract

The invention discloses a Yellow River ice dam image feature recognition method, which comprises the steps of S1, acquiring a Yellow River ice dam sample image, and preprocessing the acquired Yellow River ice dam sample image; S2, creating a mode classifier based on the minimum distance of the decision theory and used for Yellow River ice dam image feature recognition, calculating a mode vector sample based on the preprocessed Yellow River ice dam sample image in the step S1, and training the constructed mode classifier through the mode vector sample; and S3, based on the trained mode classifier, carrying out mode initial identification on the to-be-detected Yellow River ice dam image, and carrying out false identification mode elimination on a mode initial identification result to obtaina feature identification result of the to-be-detected Yellow River ice dam image. Robustness, stability and real-time performance of Yellow River ice dam image mode recognition are effectively ensured, and the adaptability is high.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to an image feature recognition method of a Yellow River ice dam. Background technique [0002] Ice monitoring is a key link in decision-making for ice prevention, optimal dispatch of water resources, and operation and management of water projects. In view of the importance of ice monitoring, various countries have successively carried out ice analysis and monitoring work, and adopted various monitoring methods. At present, the main ice observation methods in the world generally include visual observation, instrument observation, remote sensing observation, and nuclear technology observation. [0003] Visual observation is a traditional ice monitoring method, which is based on ice observation regulations and completely relies on the eyes and experience of observers. The visual observation method can observe a wide range of content, but due to the different observation in...

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Problems solved by technology

[0007] At present, my country's ice monitoring field mainly uses remote sensing observation methods as data collection methods, but ice dam images have complex and changeable target backgrounds, and it is difficult to use prior knowledge to determine threshold information, and there are many types of ice dams and complex shapes. The Yellow River has a high sediment content, and it is difficult to extract a complete ice dam target solely by edge information or grayscale information, which is likely to cause over-segmentation or mis-segmentation

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