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SHARK FISH CLASSIFICATION THROUGH IMAGE PROCESSING USING WAVELET TRANSFORMATION AND ENHANCED EDGE-DETECTION TECHNOLOGY

This paper proposes a novel way of classifying shark fishes based on image processing using Wavelet Transformation for detecting the edges, specially the two dimensional Haar wavelet transformation of images. In this paper the morphological features of different types of sharks compared with the given sample shark that is being identified to which category it belongs to. Applying the wavelet transformation which incorporates the concept of multi-threading. The paper proposes the enhanced edge detection technology and uses the concept of concurrency to identify the shark image.