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Image edges detection using morphological operations | ||
| journal of kerbala university | ||
| Article 1, Volume 4, Issue 2, 2008, Pages 37-49 PDF (0 K) | ||
| Abstract | ||
| Morphological operation consists of two types:- Basic operations and derivative. Basic operations are ,dilation ,erosion and (hit & miss) ,where as the derivative operations are :open ,close , tophat , bothat , skeleton. The process of finding the limits of the image (edge detection) means finding the boundary between the neighboring regions which differ from each other in gray levels value .There are three basic methods for finding limits of images:- linear, non-linear and common approximating methods. An algorithm is applied to identify the image edges of the image, there are generally three stages:- 1-filtering procedure to reduce the noise. 2-improvement operations 3-finding the strong border points which are required. According to the method of change the intensity image there are several types of edges of images such as (line edges, step edge, ramp edge) . Due to the absence of specific suitable method to detect all types of edges ,the present work has been implemented three methods based on the fundamental morphological operations to find the limits and the image terminals by selecting different size and extensions converted to images of grey levels ,results were compared to determine the most suitable and better methods . The present work using matlab functions (version 6.5) | ||
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