| Abstract [eng] |
The work deals with underwater object detection algorithms and software tools to implement them. Underwater object recognition algorithms for finding relevant submerged object, seabed artifacts, marine flora and fauna examples. This work investigates thresholding methods and their characteristics when they are being influenced by different filtering parameters. Software tools developed and tested using Microsoft Visual Studio system, together with the OpenCV image processing library using KU Underwater tracking robot (ROV) video. |
