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Robust Underwater Fish Detection Using an Enhanced Convolutional Neural Network
2021
International Journal of Image Graphics and Signal Processing
Underwater Object Detection is one of the most challenging and unexplored domains in this area of Computer Vision. The proposed research refines the image enhancement of under-water imagery by proposing an improvement of already existing tools for underwater Object detection. The comparative study clearly depicts the enhancement of the proposed method with respect to the existing methods for underwater object detection. Moreover, a framework for detection of underwater organisms such as fishes
doi:10.5815/ijigsp.2021.03.04
fatcat:sa6bbpulufevfazhl2hqzvwu5q