Pyramid integral image reconstruction algorithm for infrared remote sensing sea-land segmentation

The middle wave infrared remote (MWIR) images has complex scene information, low contrast ratios, and bipolar problems. To solve these problems, we propose a method that uses pyramid integral image reconstruction algorithm achieving sea-land automation segmentation. First, we calculate a gradient feature map (GFM), which extracts the structural information from an MWIR scene. Then, the GFM uses for sum are table (SAT) generation. The pyramid integral image reconstruction technology uses different scale factor reconstruct MWIR images by using SAT. Then the adaptive threshold method is employed for the sea-land segmentation on the multi-scale integral reconstruction images. Finally, we get sea-land refine segmentation result of MWIR images by synthesis analysis the multi-scale reconstruction images. By using GFM and pyramid integral image reconstruction operation, are avoid with the complex gray scene information. The integral image reconstruction can enhance the structure information and improve the reconstruction image contrast. This paper proposed method is from structure and texture information view point for sea-land segmentation, so the bipolar problem is solve in our method for MWIR images sea-land segmentation.