World Journal of Engineering Research and Technology

Rathna Mahalakshmi*

ABSTRACT

Image processing gains more prominence in the current scenario of assortment applications. In particular, various edge detection algorithms have been widely implemented in detecting the edges of components, particles and organisms of aquatic system images. Numerous research and study has being undergone to learn about the components of aquatic system. Since its has its wings covering many uses and applications in various areas such as., Medical field, Bio- technology, Archaeology, genetic research etc., And the utilizations over the aquatic system becomes possible by the exact identification of the internal particle. And in turn this identification becomes achievable only by the process of edge detection. Process of edge detection detects the object from the background to observe the image properly and discover the pixels of the image carefully. In this perspective, edge detection is a primary tool for image segmentation. In this paper an endeavor is made to analyze and compare the performance of frequently applied edge detection parameters for aquatic images.

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