Image Processing (IP) Through Erosion and Dilation Methods

The regulated morphological transforms still have some redundancies, though it takes more memory space and time for processing and searching the multimedia data. In this paper, the redundancies that are present in the regulated morphological transform are removed. To store the image in the for m of reduced regulated morphological transforms requires less memory space, less processing and searching time. Morphological processing is constructed with operations on sets of pixels. Binary morphology uses only set membership and is indifferent to the value, such as gray level or color, of a pixel. We will examine some basic set operations and their usefulness in image processing. A standard morphological operation is the reflection of all of the points in a set about the origin of the set. The origin of a set is not necessarily the origin of the base. Shown at the right is an image and its reflection about a point with the original image in green and the reflected image in white. Dilation and erosion are basic morphological processing operations. They are defined in terms of more elementary set operations, but are employed as the basic elements of many algorithms. Both dilation and erosion are produced by the interaction of a set called a structuring element with a set of pixels of interest in the image. Keywordsredundancies; dilation; erosion; opening; closeing; I. MORPHOLOGICAL OPERATIONS They can be obtained by techniques like Morphological Transform [MST], Hilbert Morphological Transform [HMST], Regulated Morphological Skeleton Transform [RMST] and others. Out of which MST and an improvement over it called as RMST is described in following paragraphs. In the RMST, we can restrict the morphological operations by using strictness parameter, s. In additional to this, we can remove the redundant points, which are present in the MST and RMST that is called as Reduced Regulated Morphological Transform [RRMST]. And the obtained reduced skeleton, which will be having fewer points as compared to MST and RMST. Most important part, which takes less time compared to other methods, is the matching. For matching of two images, we need more time, but by using of given images, that matching will be possible in less time. This gives the results as per our query for matching from the database. By adding noise in the images, their MST, RMST and RRMST get affected. II. MORPHOLOGICAL TRANSFORM [MT] To obtain the shape of image the mathematical morphology plays an important role. It is also known as Mathematical Transform (MT). There are total four morphological operations i.e. erosion, dilation, opening and closing. Among these only dilation and erosion are most important to obtain the point. Erosion and dilation were defined for sets only, but they are now extended to functions. Since, this paper deals with Gray Scale images only. Erosion Θ shrinks and dilation ⊕ expands the shape of image.