Infrared target detection algorithm based on image entropy and cluster Kmeans

WANG Jing-lei， LI Xiao-run
（College of Electrical Engineering， Zhejiang University， Hangzhou 310027， China）

Abstract： Aiming at the infrared target detection in the sea background with non-stationary and non-linttar cluster，a novel infrared target detection algorithm was proposed after the experiment in two real infrared ship images. The local image entropy was generated by sliding windows through out the whole image to locate the targets roughly. The Otsu method was adopted to realize self-adaptive binary zation segmentation and the whole target and outline were extracted combining with Kmeans cluster algorithm. The results indicate that the targets are extracted effectively as well as the outline with speed and performance.
Key words：Kmeans； local entropy； segmentation and cluster； infrared target detection algorithm