An infrared image volume cloud detection method based on neighborhood intensity texture coding
An infrared image and texture coding technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of accurate detection of difficult cirrus clouds, blurred detection results, and low detection accuracy
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[0074] Such as figure 1 As shown, this embodiment provides a method for detecting cirrus clouds in infrared images based on neighborhood intensity texture coding, including the following steps:
[0075] S1: Acquisition and input of infrared images containing cirrus clouds I 1 ,Such as figure 2 shown;
[0076] S2: Create a sliding window for neighborhood intensity texture coding, specifically:
[0077] S2.1: Create a 3×3 sliding window;
[0078] S2.2: Determine the neighborhood and number of encoded pixels in the sliding window:
[0079] Set infrared image I 1 The size is M×N, and the encoded pixel I 1 (u,v) is G c , where u=2,3,...,M-1, v=2,3,...,N-1; for the encoded pixel G c The surrounding 3×3 neighborhoods are numbered, and the numbering rule is: the pixel G to be encoded c The number of adjacent pixels on the right is G 1 , then with G 1 As the starting point, the adjacent pixels are numbered as G in the clockwise direction 2 , G 3 , G 4 , G 5 , G 6 , G ...
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