Extraction method of scallop areas considering bottom sediment of seabed

Each related organization conducts various fishery investigations and collects data required for estimation of resource state. In the scallop culture industry in Abashiri, Japan, the fisheries are investigated by analyzing seabed images. Seabed images are now obtainable from catamaran technology. However, there is no automatic technology to measure data from these images, and so the current investigation technique is the manual measurement by experts. The scallop lives on seabed of gravel, granule, ballas, coarse sand, and fine sand. The scallop is looked different from each environments. In fine sand fields, the scallop areas have only the shelly rim features in sand field, because the scallop is covered with sand. It is needed to extract the scallop area that the field of seabed image is identified because the method is selected by the fields. In this paper, we propose a method to classify the bottom sediments of the seabed image using the gray level co-occurrence matrix (GLCM). Moreover, we describe a method to extract scallop areas in fine sand field using the result of the bottom sediments, present the results, and evaluate the method´s effectiveness.