A Practical Approach of Parallel Thinning Algorithm on Numeral Patterns Using Matlab Simulation

Abstract: Digital image processing deals with manipulation of digital images through a digital computer. It is a subfield of signals and systems but focus particularly on images. DIP focuses on developing a computer system that is able to perform processing on an image. The input of that system is a digital image and the system process that image using efficient algorithms, and gives an image as an output. A number of image processing and pattern recognition application demand that are raw digitized binary pattern array be normalized, so that the constituent components of that array are of uniform thickness. The Thinning process reduces such components to a thickness of one pixel or sometimes to a few pixels. The thin-line representations of elongated patterns would be more amiable to extraction of critical features such as end-points, junction-points, and connection among the components. This Paper has been proposed and implemented the thinning algorithm. The thinning equation has been optimized in the algorithm. The algorithm has been analyzed on the basis of connectivity and convergence to unit width. The Performance parameters PSNR and errors has been analyzed and compared with the Morphology algorithm and shows the higher PSNR values and represented in the forms of graphs.

Keywords: Image Processing, Thinning, Computer Vision.