关键词: 视觉注意, 小目标检测, 显著图, 图像分割

Abstract: A small target detection method based on visual attention is presented aiming at easily and quickly marking the targets in the image. In this method, Itti’s common visual attention computational model has been improved and the target detection process is divided into bright target detection and dark target detection. In bright target detection, a simplified Itti’s model is put to use, and in dark target detection, this paper mainly builds a lateral inhibition network model. It can synthetize the two saliency maps formed in bright target detection and dark target detection to get the final saliency map. After that a threshold is set to get the pre-attention region in the image. In order to mark each target relatively integral, fuzzy C-means algorithm is used for image segmentation. It shows that the proposed algorithm can detect the targets to be detected effectively.

Key words: visual attention, small target detection, saliency map, image segmentation