Application of a high-resolution acoustic video camera to fish classification: An experimental study

In this study, we try for fish classification using high resolution acoustic video camera at 3.0 MHz center frequency (ARIS). Newly observation method with wide in vertical and narrow in horizontal beam (WVNHB) was proposed for getting high quality acoustic image of swimming fish, and tested an image processing algorithm basing on Normalized Cross Correlation (NCC) for fish classification. This high-frequency acoustic video camera was applied to fish classification for the first time. Using the proposed observation method, we successfully obtained high quality acoustic images of fish and performed an image processing algorithm on the images.