An Object-Based Reconstruction Algorithm of Binary Image
Shumei Wang, Shi-he Xu · 2009
The object is a set of pixels which includes 1s linked together in the binary image. In this paper, a reconstruction algorithm is presented that is based on the object of the binary image. This algorithm uses the basic relation between the natural pixels of the binary image, and reaches the aim of removing noise the form the noised binary image. Firstly, all connected components of watermark are marked, and then calculating the number of elements for each component. Secondly, the noise elements are generally isolated ones, the connected components having smallest number are all changed, and all elements of which are set to zeros. Thus, some program-cycles maybe run until the difference between the processed watermark and the original one is smaller than assigned threshold value. Experimental results show that this method is effective.