A Review on Thinning in Digital Image Processing

Thinning is the first step which we can say that Pre-processing. This reduction may be accomplished by obtaining the skeleton of the region using skeletonization also known as thinning. There were many algorithms which were developed to implement thinning algorithm but all were not able to give the successful output because of not fulfilling the basic requirements which are the sensitivity to noise and reconstruct-able. There are two types of thinning which are iterative and non-iterative. These all algorithm can be implemented by various softwares like MATLAB and Verilog. These all algorithm performance can be measured by one factor thinning rate. So, there is need to propose new algorithm which will give efficient results in terms of thinning rate, thinning speed, number of connected components, PSNR (peak signal to noise ratio), MSE (Mean square Value) etc.