Image De-fencing Based on Binary Morphology

Abstract

Fences are widely used in our daily life, which can be seen everywhere especially in gardens, highways, zoos, etc. While the fence forms an isolation zone and provides security protection, it also brings drawbacks. For example, people can't remove the fence when taking pictures, resulting in separated scenery which reduce the aesthetic experience. Image de-fencing aims at generating images without fence, thus presenting the original appearance of the scenery. In this paper, we propose a method of fence detection based on binary morphology. By using different structural elements to obtain image information, our method can extract fences and marked them with mask. Then input the image with mask into the existing inpainting network which can generate the final de-fencing image. Our method requires neither complicated algorithm, nor time-consuming training network. It is very simple to implement, fast, and produces nearly identical results compared to more complex methods.