Candidate Region Detection Method for Sea Vessels Based on Visual Saliency
A candidate area and ship technology, applied in the field of image processing, can solve the problems of large influence, large number of ship image detection environment, slow detection speed, etc., to achieve the effect of suppressing the influence of background noise, fast detection speed, and accurate extraction results
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0062] Embodiment 1 of the present invention provides a visual saliency-based detection method for candidate areas of ships on the sea surface, including:
[0063] Step 1, using the FT visual saliency model to obtain the frequency domain feature map of the optical remote sensing image containing the ship target on the sea;
[0064] Step 2, using the Scharr edge detection operator to obtain the edge gradient feature map of the optical remote sensing image;
[0065] Step 3, using a Gaussian mixture function to fuse the frequency domain feature map and the edge gradient feature map to obtain the fusion feature map;
[0066] Step 4. Based on the otsu adaptive threshold segmentation algorithm, binarize the fused feature map to extract the area containing the ship target from the image to obtain the candidate area of the ship on the sea surface.
[0067] The present invention assumes that the input image of each step is a color image in RGB color space. If the input image is a ...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


