Application of HSI Based on Visual Attention Model in Ship Detection

Visual attention analysis provides a mechanism to find the salient regions within the image.Based on this mechanism,a saliency detection method in HSI color space is proposed and applied to ship detection task.Firstly,an RGB image is transformed into HSI space.Gaussian pyramids are created for three features:hue,saturation and intensity.After calculating center-surround differences between different scales of the pyramid,some feature maps are obtained.Finally,these feature maps are combined into a saliency map.The experimental results indicate that this method is effective in ship detection task.Background noises are suppressed efficiently and the extracted salient regions are good for further processing.