基于LDC的图像过渡区提取与分割



提出一种基于局部清晰度-复杂度的图像过渡区提取算法,通过计算图像局部清晰度获得清晰度图 像,增加了过渡区灰度层次信息,再计算清晰度图像的局部复杂度,并根据复杂度曲线确定过渡区提取门限对过渡区进行提取,根据提取的过渡区灰度直方图,获得 图像的分割阈值并对图像进行分割。实验结果表明,本文方法比传统的基于局部复杂度法提取的过渡区更加准确,图像分割效果更好

-LDC image transition region extraction and segmentation based on a proposed resolution based on local- image transition region extraction algorithm complexity, obtained by calculating the local image sharpness resolution images, increase the transition zone gradation information, and then calculate clarity local complexity of the image, and according to the complexity of the curve to determine the transition region extraction threshold of the transition region is extracted, according to the extracted histogram transition area, obtaining an image segmentation threshold and image segmentation. Experimental results show that this method than the traditional extraction method based on local complexity of the transition zone is more accurate and better image segmentation results