Image segmentation fusion by edge detection techniques
Image Segmentation is one of the basic building blocks in image processing.It is a pre-processing task to make an image processable for further operations such as noise removal,decomposition,morphological operations etc.It is the first step in object identification in an image.It may also be used in compression to compress different areas, segments of an image, at different compression qualities.It differentiates objects in an image from the background of an image.There are different types of segmentation techniques such as color,region growing,split and merge,grayscale,edge detection etc.The technique that should be applied mostly depends on the kind of image given.Segmentation mainly derives the homogeneity of an image.That is it partitions an image into distinct regions that are meant to correlate strongly with objects or features of interest in the image. Segmentation can also be regarded as a process of grouping together pixels that have similar attributes. The level to which the subdivision is carried depends on the problem being solved. That is,segmentation should stop when the objects of interest in an application have been isolated. There is no point in carrying segmentation past the level of detail required to identify those elements.
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