The Application Of Mathematical Morphology In IR Image Pretreatment

The effective detection for small targets in low SNR image is always a hot research field. In order to improve the SNR, amend the image quality, suppress imaging interfere and imaging , the IR image pretreatment is a very important process. It decides that if the hardware system can exactly detect and track the target at any time. Aimed at this problem, It is mainly studies that Mathematical morphology is applied in the background suppression and the edge detection for small targets IR image in this paper. Based on the outcomes developed, a new edge detection operator is applied. At last IR image pretreatment hardware system is designed to meet the need of IR image tracker.The infrared ship image in the background of sea and sky is performed with the improved morphological filters. A frame element bigger than the target and a smaller one are used by turns in the opening operation; the subtract output is the background suppression result. It is proved that the improved morphological filter is better than others in the effect and managed time. Then the improved morphological filter is used in the background suppression result. Use the improved morphological erode edge extraction in order to reduce the edge information that erode extraction dismissed. The experiment results indicate that the improved method can resist noise better, distill the edge of target exactly, reserve more detail information of the target. The edge of detection is smoother than traditional morphological edge detection. After the original image is performed for two times, all kinds of noise and aberrance affect to the target area of image eliminate furthest. The efficiency and veracity to the targets is improved.