Smoke detection in infrared images based on superpixel segmentation

摘要

Infrared smoke interference technology seriously infected the combat effectiveness of photoelectric guided weapons inmodern warfare. As a result of the occlusion caused by smoke screen, the robustness of image matching guidancealgorithm will decrease. Thus, to judge whether there is smoke interference in images and smoke screen area extractionare of great importance for the accuracy of image matching guidance algorithm. However, most of the smoke detectionmethods aimed at fire early warning, so that they focused on whether smoke exists or not. While both of thediscrimination of smoke interference and smoke screen area extraction are what we concern. In this paper, a smokedetection method based on superpixel segmentation and region merging is proposed. Firstly, over-segmentation regionsof input infrared image with superpixel segmentation are obtained. Then, fusion texture feature of the image is computed.Finally, superpixel regions are merged based on the fusion features of each superpixel block obtained in the previous stepand smoke screen area extraction is completed.