Detection of trace elements in metallurgical products under complex background based on visual saliency
Yuesheng Lou · International Journal of Computers and Applications · 2019
Aiming at the problem of detecting blurred targets by line scan CCD images in complex background, a target detection algorithm based on visual saliency is proposed. According to the characteristics of the line scan CCD target image, the feature of the weak target is analyzed, and the CCD image is preprocessed. By calculating the difference between two near frames in the image, all the complex backgrounds of static and slow motion are removed. A new feature vector is constructed, and a double search window similar to the target shape is designed. A significant image of the line scan CCD image is obtained by calculating the similarity of the feature vectors in the center of the window and the surrounding pixels. The salient map is then clustered and segmented to extract the target. The experimental results show that compared with weighted average filtering and median filtering, this method can effectively suppress noise and background, detect dark targets in images, increase the global signal-to-noise ratio by two times, and improve the detection reliability.