A Review Paper on Thinning of Image Using Zhang and Suen Algorithm and Neural Network

This review paper provides a concise survey on different techniques for thinning and their comparison in image processing. Thinning is one of the fundamental requirements is to represent the structural shape of digital images. This can be done by reducing it to a graph. This process may be completed by obtaining the skeleton of the particular region of the image or the full image using skeletonization of the image also known as thinning. Skeletonization is the process of extracting skeletons from an object in a digital image. Skeletonization has been used in a wide variety of other applications like Optical character recognition, Pattern recognition, Fingerprint classification, Biometric authentication, Signature verification, Medical imaging. It proposes the new algorithm using Zhang and Suen algorithm also neural network based on various factors like PSNR, MSE, execution time and thinning rate. There are different techniques for thinning of the image like iterative, non-iterative etc.