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@article{155640,
        author = {K. Manish and E.Nagesh and P.Sushanth and D Rambabu},
        title = {OPENING AND CLOSING IN MORPHOLOGICAL IMAGE PROCESSING},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {1405-1409},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155640},
        abstract = {Morphological Image Processing (MIP) is a helpful technique in digital image processing because it can rigorously quantify numerous geometrical structure attributes in a way that is consistent with human perception and intuition. The core of morphologic image processing technologies is geometry. It also has a geometry structural analysis of the image. We can uncover a relationship between each component of the image. When processing a picture using morphological theory In the morphological method, an image is studied in terms of a specific geometric shape called a structuring element, which allows us to all understand the image's structural qualities. Morphological processing helps easily filter and clutter from images, as well as transform them as per the size and shape of the interesting places Because it alters the underlying geometric form of an image, Linear Image Processing is sometimes preferred over Morphological Image Processing, even though Morphological Image Processing does not damage the image's information. Dilation, Erosion, Opening, and Closing operations are used here},
        keywords = {Image Processing, filter and cluster, Geometric forms, Linear, Morphological},
        month = {},
        }