IJCST Vo l . 2, ISS ue 4, oC T . D . 2011 （IJCST Vo l。）.pdfVIP

ISSN : 0976-8491(Online) | ISSN : 2229-4333(Print) IJCST Vol. 2, ISSue 4, oCT. - DeC. 2011 Morphological Image Processing Megha Goyal Dept. of ECE, Doaba Institute of Engineering and Technology, Kharar, Mohali, Punjab, India Abstract C = {p|p A or p B (or both)} The purpose of this paper is to provide readers with an in-depth presentation of the principles and applications of morphological A. Union image analysis. This is achieved through a step by step process starting from the basic morphological operators and extending The operation C = A B to the most recent advances which have proven their practical usefulness. This self-contained volume will be valuable to all engineers, scientists, and practitioners interested in the analysis and processing of digital images. Keywords Introduction,preliminaries,morphological operations, morphological algorithm, some applications, summary. I. Introduction Morphological image processing (or morphology) describes a range of image processing techniques that deal with the shape (or morphology) of features in an image Morphological operations are typically applied to remove imperfections introduced during segmentation or we can say that morphology is a branch of biology that deals with the forms and the structure of animals and plants. Fig. 2: Produces a set that contains the elements of both A and B . the fact that some elements are represented in both sets (red