基于局部复杂度的图像过渡区处理研究

图像过渡区是图像中普遍存在的特定区域。由于图像过渡区的存在,不仅致使图像分割不准确,而且对图像的后续分析和理解也易产生偏差。针对此问题,提出了一种基于局部复杂度的图像过渡区处理方法,该方法首先采用统计图像局部复杂度的方法准确提取图像的过渡区,然后确定图像过渡区的处理方向,进而进行插值或修正处理。实验结果表明,处理后的图像,其边缘部分更清晰,过渡带的现象得到很好的遏制。此方法既可以遏制图像的过渡带,又可保留图像原有的内部细节。具有较高的实用性和推广性。

Analysis of the Image Transition Region Processing Based on Local Complexity

The image transition region is a particular area that ubiquitously exists in image. Because of the existence of the image transition region,causing low accuracy in image segmentation and misinterpretation of image itself. This paper used the method of the local complexity which could accurately draw the transition region,and confirm the processing direction of the image transition region. The experimental result shows that the impact from the image transition region is reduced while edges are much clearer after processing. This method can keep the original internal details of the image and has higher practicability and popularization.