Using the Radon transform and morphological image processing, an algorithm for ship's wake detection in the SAR (synthetic aperture radar) image is developed. Being manipulated in the Radon space to invert the gra...Using the Radon transform and morphological image processing, an algorithm for ship's wake detection in the SAR (synthetic aperture radar) image is developed. Being manipulated in the Radon space to invert the gray-level and binary images, the linear texture of ship wake in oceanic clutter can be well detected. It has been applied to the automatic detection of a moving ship from the SEASAT SAR image. The results show that this algorithm is well robust in a strong noisy background and is not very sensitive to the threshold parameter and the working window size.展开更多
Three-dimensional (3-D) matched filtering has been suggested as a powerful processing technique for detecting weak, moving IR point target immersed in a noisy field. Based on the theory of the 3-D matched filtering an...Three-dimensional (3-D) matched filtering has been suggested as a powerful processing technique for detecting weak, moving IR point target immersed in a noisy field. Based on the theory of the 3-D matched filtering and the optimal linear processing, the optimal point target detector is being analyzed in this paper. The performance of the detector is introduced in detail. The results provide a standard reference to evaluate the performance of any other point target detection algorithms.展开更多
针对夜间场景下低照度图像整体亮度不足、边缘难以辨识与色彩失真等问题,在HSV色彩空间的基础上,提出一种基于多尺度自引导锐化-平滑图像滤波(Sharpening-Smoothing Image Fil⁃ter,SSIF)的低照度图像增强方法.首先,利用HSV空间色彩亮度...针对夜间场景下低照度图像整体亮度不足、边缘难以辨识与色彩失真等问题,在HSV色彩空间的基础上,提出一种基于多尺度自引导锐化-平滑图像滤波(Sharpening-Smoothing Image Fil⁃ter,SSIF)的低照度图像增强方法.首先,利用HSV空间色彩亮度分离的特性,对V分量使用多尺度自引导锐化-平滑图像滤波,准确估计光照分量进而求得精确的反射分量.其次,针对光照分量分布不均的问题,提出一种二维自适应伽马变换算法并通过大量对比选取最佳参数,对较暗区域亮度进行拉伸,同时抑制较亮区域的亮度,使整体图像光照更加均匀,图像亮度更符合人眼视觉.再次,针对反射分量存在部分边缘模糊与噪声的问题,提出多尺度钝化掩蔽算法,在抑制噪声的同时能够有效增强图像细节信息,提升整体图像动态范围.最后,对S分量使用自适应饱和度增强算法,将增强后的S分量、V分量与保持不变的H分量合并转到RGB图像,并与带色彩恢复的多尺度视网膜增强算法(Multi-Scale Retinex with Color Restoration,MSRCR)中的色彩恢复因子结合得到最终增强图像.实验结果表明:所提低照度图像增强算法的基于精细自然场景统计的图像质量盲评价指标和平均梯度较其他对比算法分别提高了14.62%、32.10%,不仅能够有效地解决图像亮度分布不均问题,而且能够提高图像轮廓细节的丰富程度和对比度,整体效果优于其他对比算法.展开更多
基金This project was supported by the National Natural Science Foundation of China (No. 49831060).
文摘Using the Radon transform and morphological image processing, an algorithm for ship's wake detection in the SAR (synthetic aperture radar) image is developed. Being manipulated in the Radon space to invert the gray-level and binary images, the linear texture of ship wake in oceanic clutter can be well detected. It has been applied to the automatic detection of a moving ship from the SEASAT SAR image. The results show that this algorithm is well robust in a strong noisy background and is not very sensitive to the threshold parameter and the working window size.
文摘Three-dimensional (3-D) matched filtering has been suggested as a powerful processing technique for detecting weak, moving IR point target immersed in a noisy field. Based on the theory of the 3-D matched filtering and the optimal linear processing, the optimal point target detector is being analyzed in this paper. The performance of the detector is introduced in detail. The results provide a standard reference to evaluate the performance of any other point target detection algorithms.
文摘针对夜间场景下低照度图像整体亮度不足、边缘难以辨识与色彩失真等问题,在HSV色彩空间的基础上,提出一种基于多尺度自引导锐化-平滑图像滤波(Sharpening-Smoothing Image Fil⁃ter,SSIF)的低照度图像增强方法.首先,利用HSV空间色彩亮度分离的特性,对V分量使用多尺度自引导锐化-平滑图像滤波,准确估计光照分量进而求得精确的反射分量.其次,针对光照分量分布不均的问题,提出一种二维自适应伽马变换算法并通过大量对比选取最佳参数,对较暗区域亮度进行拉伸,同时抑制较亮区域的亮度,使整体图像光照更加均匀,图像亮度更符合人眼视觉.再次,针对反射分量存在部分边缘模糊与噪声的问题,提出多尺度钝化掩蔽算法,在抑制噪声的同时能够有效增强图像细节信息,提升整体图像动态范围.最后,对S分量使用自适应饱和度增强算法,将增强后的S分量、V分量与保持不变的H分量合并转到RGB图像,并与带色彩恢复的多尺度视网膜增强算法(Multi-Scale Retinex with Color Restoration,MSRCR)中的色彩恢复因子结合得到最终增强图像.实验结果表明:所提低照度图像增强算法的基于精细自然场景统计的图像质量盲评价指标和平均梯度较其他对比算法分别提高了14.62%、32.10%,不仅能够有效地解决图像亮度分布不均问题,而且能够提高图像轮廓细节的丰富程度和对比度,整体效果优于其他对比算法.
