基于灰度梯度映射函数的舰船热尾流红外图像分割

Study of Infrared Image Enhancement about the Thermal Wake of Ship

文章针对海面情况复杂,舰船热尾流红外图像受干扰大,目标区域不易辨别的特点,通过基于灰度梯度映射(GGM)函数的红外图像分割方法将原始图像中的目标区和背景区有效地分割开来。接着采用图像形态学中的腐蚀、膨胀和细化技术对图像进一步改善了图像质量,锐化了舰船热尾流的边缘,达到了令人满意的结果。为红外探测潜艇提供了科学的水面热轨迹情况的依据。

Aiming at the complex conditions of sea surface and the infrared image of thermal wake of ship which is disturbed severely and hard to be discriminated,original image is divided into object area and background area by gray level and gradient mapping （GGM） function. Then the image is improved by erosion, dilation and thinning of image morphology. The edges of thermal wake of ship are protruded and the result is satisfied. So, scientific bases are available for the infrared detection of submarines.