A Multi-Focus Image Fusion Algorithm Based on Non-Uniform Rectangular Partition with Morphology Operation

Xiaoyu Liu, U. KinTak
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引用次数: 1

Abstract

Due to the shooting environment or the camera, photos may be taken at different focal points and merged into a clear photo for later use by fusion technology. This paper presents an efficient multi-focus image fusion method based on Non-uniform Rectangular Partition (NURP) [1] with morphological operations [2]. Under a certain control error, the left and right focus of the images are divided into non-uniform rectangles whose dimensions are different from different focuses for the same pixel. The NURP can roughly determine the focused and unfocused separation lines of the image according to their partition grid sizes between left and right focus images. The morphological close and open operations are performed on the fusion edge separation line to delete some noise information and keep the useful information along the edge line so that it become more close to the real separation line. Finally, the final fusion pixels are determined according to the edge boundary line to form the final fused image. Experimental results show that the proposed algorithm can enhance the spatial details of the fusion image, improve its visual quality, and obtain better objective evaluation indicators.
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基于形态学非均匀矩形分割的多焦点图像融合算法
由于拍摄环境或相机的原因,照片可能会在不同的焦点上拍摄,并通过融合技术合并成一张清晰的照片供以后使用。本文提出了一种基于非均匀矩形分割(NURP)[1]和形态学运算[2]的高效多焦点图像融合方法。在一定的控制误差下,图像的左右焦点被划分为不均匀的矩形,其尺寸因同一像素的不同焦点而不同。NURP可以根据左右聚焦图像之间的分区网格大小,大致确定图像的聚焦和未聚焦分隔线。对融合边缘分离线进行形态学的闭合和打开操作,去除一些噪声信息,保留边缘线沿线的有用信息,使其更接近真实的分离线。最后,根据边缘边界线确定最终融合像素,形成最终融合图像。实验结果表明,该算法可以增强融合图像的空间细节,提高融合图像的视觉质量,获得更好的客观评价指标。
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