In our research group, we are developing automated system that overcomes the difficulties of detecting small maritime objects. To accomplish this task three integrated algorithms have been developed, namely variable size image window analysis , statistical analysis by reclustering and region segmentor . The task of this algorithm is to reduce the data to be processed by characterising larger parts of the image by a certain number of characteristic features. It is done by segmenting the image into a set of segments and by consequential substitution of each segment by a set of numbers that somehow characterise the underlying segment. Segmentation is widely used across the DIP algorithms.
Most usual segmentation is done by applying rectangular grid on the image.
Each rectangle then represents the segment. However, when maritime scene is considered, the situation is somehow different. Because maritime scenes are outdoor scenes with considerable depth of view field, the perspectiveness must be accounted for. Objects that are close to the camera are projected near the bottom of the image. They appear larger than any objects that are further away from the camera.