Image Enhancement using Morphological Operations

Abstract

Today, Image Processing has become one of the popular and essential research domains in the field of computer science and information technology. Important tasks of image processing are image enhancement, image compression and information extraction. Image enhancement techniques are used to improve the quality of image where as information extraction techniques extract the statistical information about portion of an image or any particular image. Image compression is reducing the size of the digital image and allows more images to be stored in a computer disk. In this digital era, people can handle large amount of digital documents and with this documents we need to perform several tasks. Digital images may contain both machine printed documents and handwritten documents. Machine printed document images might have been produced using various technologies with good quality. A handwritten digital document has poor quality like blurred images, old handwritten manuscripts and handwritten variations, hence difficult to identify the texts. Hence the main objective of this paper is to enhance the handwritten image quality using various image enhancement techniques like Noise Removal, Contrast Stretching, Morphological Operations and Interpolations.