Morphology-based water-land-air boundary line detection method and system, medium and equipment
A technology based on morphology and detection methods, applied in image data processing, instruments, calculations, etc., can solve problems such as helplessness and achieve fast and accurate detection results
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Embodiment 1
[0065] Such as figure 1 As shown, the present embodiment provides a morphological-based detection method for water, land and air boundaries, and the specific steps are as follows:
[0066] S1: Preprocessing the original pictures obtained by the Point Gray camera;
[0067] After each frame of image is scaled and scaled, it becomes 640x480. Then, a 7x7 window is used to perform Gaussian blur and denoising processing on the scaled image, and finally convert from RGB color space to HSV color space;
[0068] S2: Perform morphological gradient processing on the brightness channel (V channel);
[0069] The HSV color space eliminates the correlation of the three channels of hue, saturation, and brightness, which is beneficial to image processing; through a large number of image comparisons, it is found that the brightness of land areas is much lower than that of sky areas and water areas. Based on this feature, the The brightness channel performs morphological gradient processing, a...
Embodiment 2
[0108] This embodiment also provides a morphology-based detection system for the boundary line between land, water and air, including: an image preprocessing module, a morphological gradient processing module, a segmentation processing module, and an extraction module for the boundary line between land, water and air, and the image preprocessing module includes a scale A scaling unit, a Gaussian blur denoising processing unit, and a color space conversion unit are used to preprocess the obtained image, respectively perform scale scaling and Gaussian blur denoising processing, and convert the RGB color space of the image to the HSV color space;
[0109] In this embodiment, the morphological gradient processing module is used to expand the highlighted area in the coarsened image to obtain a dilated map, corrode the highlighted area in the thinned image to obtain a corroded map, and subtract the corroded map from the dilated map to obtain a morphological gradient Figure; the segme...
Embodiment 3
[0112] This embodiment also provides a storage medium, the storage medium can be a storage medium such as ROM, RAM, magnetic disk, optical disk, etc., and the storage medium stores one or more programs. When the programs are executed by the processor, the implementation of Embodiment 1 based on Morphological water, land and air boundary detection method:
[0113] S1: Preprocessing the original pictures obtained by the Point Gray camera;
[0114] After each frame of image is scaled and scaled, it becomes 640x480. Then, a 7x7 window is used to perform Gaussian blur and denoising processing on the scaled image, and finally convert from RGB color space to HSV color space;
[0115] S2: Perform morphological gradient processing on the brightness channel (V channel);
[0116] The HSV color space eliminates the correlation of the three channels of hue, saturation, and brightness, which is beneficial to image processing; through a large number of image comparisons, it is found that th...
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