Abstract
To go with today’s technology there is need of improving network communication performance. Its number of bits required to store an image that decides the speed of transmission of that image, in network communication. Here comes the need to reduce the number of bits required to represent an image. Many scholars have discovered that the most of the vital information lies in the edge of the image. Edges being the local property of a pixel and its immediate neighborhood, characterizes boundary. When image is represented as edge, the number of bits or pixels required to store an image reduces and also has a property of reducing the redundancy when restored. Hence one of the techniques for edge detection is proposed called as “Sobel edge detection”.
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Pujar, J.H., Shambhavi, D.S. (2010). A Novel Digital Algorithm for Sobel Edge Detection. In: Das, V.V., et al. Information Processing and Management. BAIP 2010. Communications in Computer and Information Science, vol 70. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12214-9_16
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DOI: https://doi.org/10.1007/978-3-642-12214-9_16
Publisher Name: Springer, Berlin, Heidelberg
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